Sample records for single corn kernels

  1. Correlation and classification of single kernel fluorescence hyperspectral data with aflatoxin concentration in corn kernels inoculated with Aspergillus flavus spores.

    PubMed

    Yao, H; Hruska, Z; Kincaid, R; Brown, R; Cleveland, T; Bhatnagar, D

    2010-05-01

    The objective of this study was to examine the relationship between fluorescence emissions of corn kernels inoculated with Aspergillus flavus and aflatoxin contamination levels within the kernels. Aflatoxin contamination in corn has been a long-standing problem plaguing the grain industry with potentially devastating consequences to corn growers. In this study, aflatoxin-contaminated corn kernels were produced through artificial inoculation of corn ears in the field with toxigenic A. flavus spores. The kernel fluorescence emission data were taken with a fluorescence hyperspectral imaging system when corn kernels were excited with ultraviolet light. Raw fluorescence image data were preprocessed and regions of interest in each image were created for all kernels. The regions of interest were used to extract spectral signatures and statistical information. The aflatoxin contamination level of single corn kernels was then chemically measured using affinity column chromatography. A fluorescence peak shift phenomenon was noted among different groups of kernels with different aflatoxin contamination levels. The fluorescence peak shift was found to move more toward the longer wavelength in the blue region for the highly contaminated kernels and toward the shorter wavelengths for the clean kernels. Highly contaminated kernels were also found to have a lower fluorescence peak magnitude compared with the less contaminated kernels. It was also noted that a general negative correlation exists between measured aflatoxin and the fluorescence image bands in the blue and green regions. The correlation coefficients of determination, r(2), was 0.72 for the multiple linear regression model. The multivariate analysis of variance found that the fluorescence means of four aflatoxin groups, <1, 1-20, 20-100, and >or=100 ng g(-1) (parts per billion), were significantly different from each other at the 0.01 level of alpha. Classification accuracy under a two-class schema ranged from 0.84 to 0.91 when a threshold of either 20 or 100 ng g(-1) was used. Overall, the results indicate that fluorescence hyperspectral imaging may be applicable in estimating aflatoxin content in individual corn kernels.

  2. Single aflatoxin contaminated corn kernel analysis with fluorescence hyperspectral image

    NASA Astrophysics Data System (ADS)

    Yao, Haibo; Hruska, Zuzana; Kincaid, Russell; Ononye, Ambrose; Brown, Robert L.; Cleveland, Thomas E.

    2010-04-01

    Aflatoxins are toxic secondary metabolites of the fungi Aspergillus flavus and Aspergillus parasiticus, among others. Aflatoxin contaminated corn is toxic to domestic animals when ingested in feed and is a known carcinogen associated with liver and lung cancer in humans. Consequently, aflatoxin levels in food and feed are regulated by the Food and Drug Administration (FDA) in the US, allowing 20 ppb (parts per billion) limits in food and 100 ppb in feed for interstate commerce. Currently, aflatoxin detection and quantification methods are based on analytical tests including thin-layer chromatography (TCL) and high performance liquid chromatography (HPLC). These analytical tests require the destruction of samples, and are costly and time consuming. Thus, the ability to detect aflatoxin in a rapid, nondestructive way is crucial to the grain industry, particularly to corn industry. Hyperspectral imaging technology offers a non-invasive approach toward screening for food safety inspection and quality control based on its spectral signature. The focus of this paper is to classify aflatoxin contaminated single corn kernels using fluorescence hyperspectral imagery. Field inoculated corn kernels were used in the study. Contaminated and control kernels under long wavelength ultraviolet excitation were imaged using a visible near-infrared (VNIR) hyperspectral camera. The imaged kernels were chemically analyzed to provide reference information for image analysis. This paper describes a procedure to process corn kernels located in different images for statistical training and classification. Two classification algorithms, Maximum Likelihood and Binary Encoding, were used to classify each corn kernel into "control" or "contaminated" through pixel classification. The Binary Encoding approach had a slightly better performance with accuracy equals to 87% or 88% when 20 ppb or 100 ppb was used as classification threshold, respectively.

  3. Utilizing fluorescence hyperspectral imaging to differentiate corn inoculated with toxigenic and atoxigenic fungal strains

    NASA Astrophysics Data System (ADS)

    Yao, Haibo; Hruska, Zuzana; Kincaid, Russell; Brown, Robert L.; Bhatnagar, Deepak; Cleveland, Thomas E.

    2012-05-01

    Naturally occurring Aspergillus flavus strains can be either toxigenic or atoxigenic, indicating their ability to produce aflatoxin or not, under specific conditions. Corn contaminated with toxigenic strains of A. flavus can result in great losses to the agricultural industry and pose threats to public health. Past research showed that fluorescence hyperspectral imaging could be a potential tool for rapid and non-invasive detection of aflatoxin contaminated corn. The objective of the current study was to assess, with the use of a hyperspectral sensor, the difference in fluorescence emission between corn kernels inoculated with toxigenic and atoxigenic inoculums of A. flavus. Corn ears were inoculated with AF13, a toxigenic strain of A. flavus, and AF38, an atoxigenic strain of A. flavus, at dough stage of development and harvested 8 weeks after inoculation. After harvest, single corn kernels were divided into three groups prior to imaging: control, adjacent, and glowing. Both sides of the kernel, germplasm and endosperm, were imaged separately using a fluorescence hyperspectral imaging system. It was found that the classification accuracies of the three manually designated groups were not promising. However, the separation of corn kernels based on different fungal inoculums yielded better results. The best result was achieved with the germplasm side of the corn kernels. Results are expected to enhance the potential of fluorescence hyperspectral imaging for the detection of aflatoxin contaminated corn.

  4. The correlation of chemical and physical corn kernel traits with production performance in broiler chickens and laying hens.

    PubMed

    Moore, S M; Stalder, K J; Beitz, D C; Stahl, C H; Fithian, W A; Bregendahl, K

    2008-04-01

    A study was conducted to determine the influence on broiler chicken growth and laying hen performance of chemical and physical traits of corn kernels from different hybrids. A total of 720 male 1-d-old Ross-308 broiler chicks were allotted to floor pens in 2 replicated experiments with a randomized complete block design. A total of 240 fifty-two-week-old Hy-Line W-36 laying hens were allotted to cages in a randomized complete block design. Corn-soybean meal diets were formulated for 3 broiler growth phases and one 14-wk-long laying hen phase to be marginally deficient in Lys and TSAA to allow for the detection of differences or correlations attributable to corn kernel chemical or physical traits. The broiler chicken diets were also marginally deficient in Ca and nonphytate P. Within a phase, corn- and soybean-based diets containing equal amounts of 1 of 6 different corn hybrids were formulated. The corn hybrids were selected to vary widely in chemical and physical traits. Feed consumption and BW were recorded for broiler chickens every 2 wk from 0 to 6 wk of age. Egg production was recorded daily, and feed consumption and egg weights were recorded weekly for laying hens between 53 and 67 wk of age. Physical and chemical composition of kernels was correlated with performance measures by multivariate ANOVA. Chemical and physical kernel traits were weakly correlated with performance in broiler chickens from 0 to 2 wk of age (P<0.05, | r |<0.42). However, from 4 to 6 wk of age and 0 to 6 wk of age, only kernel chemical traits were correlated with broiler chicken performance (P<0.05, | r |<0.29). From 53 to 67 wk of age, correlations were observed between both kernel physical and chemical traits and laying hen performance (P<0.05, | r |<0.34). In both experiments, the correlations of performance measures with individual kernel chemical and physical traits for any single kernel trait were not large enough to base corn hybrid selection on for feeding poultry.

  5. Transient infrared spectroscopy for detection of toxigenic fungi in corn: potential for on-line evaluation.

    PubMed

    Gordon, S H; Jones, R W; McClelland, J F; Wicklow, D T; Greene, R V

    1999-12-01

    An urgent need for rapid sensors to detect contamination of food grains by toxigenic fungi such as Aspergillus flavus prompted research and development of Fourier transform infrared photoacoustic spectroscopy (FTIR-PAS) as a highly sensitive probe for fungi growing on the surfaces of individual corn kernels. However, the photoacoustic technique has limited potential for screening bulk corn because currently available photoacoustic detectors can accommodate only a single intact kernel at a time. Transient infrared spectroscopy (TIRS), on the other hand, is a promising new technique that can acquire analytically useful infrared spectra from a moving mass of solid materials. Therefore, the potential of TIRS for on-line, noncontact detection of A. flavus contamination in a moving bed of corn kernels was explored. Early test results based on visual inspection of TIRS spectral differences predict an 85% or 95% success rate in distinguishing healthy corn from grain infected with A. flavus. Four unique infrared spectral features which identified infected corn in FTIR-PAS were also found to be diagnostic in TIRS. Although the technology is still in its infancy, the preliminary results indicate that TIRS is a potentially effective screening method for bulk quantities of corn grain.

  6. 76 FR 16308 - Dichlormid; Pesticide Tolerances

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-03-23

    ..., stover; corn, pop, grain; corn, pop, stover; corn, sweet, forage; corn, sweet, kernel plus cob with husks... sweet corn forage, kernel plus cob with husks removed, and stover at 0.05 ppm. EPA has extended the..., sweet, forage; corn, sweet, kernel plus cob with husks removed; and corn, sweet, stover at 0.05 ppm...

  7. Corn kernel oil and corn fiber oil

    USDA-ARS?s Scientific Manuscript database

    Unlike most edible plant oils that are obtained directly from oil-rich seeds by either pressing or solvent extraction, corn seeds (kernels) have low levels of oil (4%) and commercial corn oil is obtained from the corn germ (embryo) which is an oil-rich portion of the kernel. Commercial corn oil cou...

  8. Single Aflatoxin Contaminated Corn Kernel Analysis with Fluorescence Hyperspectral Image

    USDA-ARS?s Scientific Manuscript database

    Aflatoxins are toxic secondary metabolites of the fungi Aspergillus flavus and Aspergillus parasiticus, among others. Aflatoxin contaminated corn is toxic to domestic animals when ingested in feed and is a known carcinogen associated with liver and lung cancer in humans. Consequently, aflatoxin leve...

  9. Change of digestive physiology in sea cucumber Apostichopus japonicus (Selenka) induced by corn kernels meal and soybean meal in diets

    NASA Astrophysics Data System (ADS)

    Yu, Haibo; Gao, Qinfeng; Dong, Shuanglin; Hou, Yiran; Wen, Bin

    2016-08-01

    The present study was conducted to determine the change of digestive physiology in sea cucumber Apostichopus japonicus (Selenka) induced by corn kernels meal and soybean meal in diets. Four experimental diets were tested, in which Sargassum thunbergii was proportionally replaced by the mixture of corn kernels meal and soybean meal. The growth performance, body composition and intestinal digestive enzyme activities in A. japonicus fed these 4 diets were examined. Results showed that the sea cucumber exhibited the maximum growth rate when 20% of S. thunbergii in the diet was replaced by corn kernels meal and soybean meal, while 40% of S. thunbergii in the diet can be replaced by the mixture of corn kernels meal and soybean meal without adversely affecting growth performance of A. japonicus. The activities of intestinal trypsin and amylase in A. japonicus can be significantly altered by corn kernels meal and soybean meal in diets. Trypsin activity in the intestine of A. japonicus significantly increased in the treatment groups compared to the control, suggesting that the supplement of corn kernels meal and soybean meal in the diets might increase the intestinal trypsin activity of A. japonicus. However, amylase activity in the intestine of A. japonicus remarkably decreased with the increasing replacement level of S. thunbergii by the mixture of corn kernels meal and soybean meal, suggesting that supplement of corn kernels meal and soybean meal in the diets might decrease the intestinal amylase activity of A. japonicus.

  10. SVM-based feature extraction and classification of aflatoxin contaminated corn using fluorescence hyperspectral data

    USDA-ARS?s Scientific Manuscript database

    Support Vector Machine (SVM) was used in the Genetic Algorithms (GA) process to select and classify a subset of hyperspectral image bands. The method was applied to fluorescence hyperspectral data for the detection of aflatoxin contamination in Aspergillus flavus infected single corn kernels. In the...

  11. Hyperspectral image classification and development of fluorescence index for single corn kernels infected with Aspergillus flavus

    USDA-ARS?s Scientific Manuscript database

    Aflatoxins are toxic secondary metabolites predominantly produced by the fungi Aspergillus flavus and A. parasiticus. Aflatoxin contaminated corn is toxic to domestic animals when ingested in feed and is a known carcinogen associated with liver and lung cancer in humans. Consequently, aflatoxin leve...

  12. Molecular genetic basis of pod corn (Tunicate maize)

    PubMed Central

    Wingen, Luzie U.; Münster, Thomas; Faigl, Wolfram; Deleu, Wim; Sommer, Hans; Saedler, Heinz; Theißen, Günter

    2012-01-01

    Pod corn is a classic morphological mutant of maize in which the mature kernels of the cob are covered by glumes, in contrast to generally grown maize varieties in which kernels are naked. Pod corn, known since pre-Columbian times, is the result of a dominant gain-of-function mutation at the Tunicate (Tu) locus. Some classic articles of 20th century maize genetics reported that the mutant Tu locus is complex, but molecular details remained elusive. Here, we show that pod corn is caused by a cis-regulatory mutation and duplication of the ZMM19 MADS-box gene. Although the WT locus contains a single-copy gene that is expressed in vegetative organs only, mutation and duplication of ZMM19 in Tu lead to ectopic expression of the gene in the inflorescences, thus conferring vegetative traits to reproductive organs. PMID:22517751

  13. 78 FR 66649 - Spirotetramat; Pesticide Tolerances

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-11-06

    ... regulation establishes tolerances for residues of spirotetramat in or on corn, sweet, kernel plus cob with... tolerance for residues of the insecticide spirotetramat in or on corn, sweet kernel plus cob with husks..., calculated as the stoichiometric equivalent of spirotetramat, in or on corn, sweet, kernel plus cob with...

  14. 40 CFR 180.666 - Fluxapyroxad; tolerances for residues.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ..., meat 0.01 Cattle, meat byproducts 0.03 Corn, field, grain 0.01 Corn, oil 0.03 Corn, pop, grain 0.01 Corn, sweet, kernels plus cobs with husks removed 0.15 Cotton, gin byproducts 0.01 Cotton, undelinted...; except corn, pop, grain; except corn, kernels plus cobs with husks removed; except rice; except wheat 3.0...

  15. 40 CFR 180.666 - Fluxapyroxad; tolerances for residues.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... corn, pop, grain; except corn, kernels plus cobs with husks removed; except wheat) 3.0 Grain, cereal..., meat byproducts 0.03 Corn, field, grain 0.01 Corn, oil 0.03 Corn, pop, grain 0.01 Corn, sweet, kernels plus cobs with husks removed 0.15 Cotton, gin byproducts 0.01 Cotton, undelinted seed 0.01 Egg 0.002...

  16. 40 CFR 180.368 - Metolachlor; tolerances for residues.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... 0.05 Cattle, meat 0.02 Cattle, meat byproducts, except kidney and liver 0.04 Corn, field, forage 6.0 Corn, field, grain 0.10 Corn, field, stover 6.0 Corn, sweet, forage 6.0 Corn, sweet, kernel plus cob..., sweet, kernel plus cob with husks removed 0.10 Corn, sweet, stover 6.0 Cotton, gin byproducts 4.0 Cotton...

  17. Aflatoxin contamination of developing corn kernels.

    PubMed

    Amer, M A

    2005-01-01

    Preharvest of corn and its contamination with aflatoxin is a serious problem. Some environmental and cultural factors responsible for infection and subsequent aflatoxin production were investigated in this study. Stage of growth and location of kernels on corn ears were found to be one of the important factors in the process of kernel infection with A. flavus & A. parasiticus. The results showed positive correlation between the stage of growth and kernel infection. Treatment of corn with aflatoxin reduced germination, protein and total nitrogen contents. Total and reducing soluble sugar was increase in corn kernels as response to infection. Sucrose and protein content were reduced in case of both pathogens. Shoot system length, seeding fresh weigh and seedling dry weigh was also affected. Both pathogens induced reduction of starch content. Healthy corn seedlings treated with aflatoxin solution were badly affected. Their leaves became yellow then, turned brown with further incubation. Moreover, their total chlorophyll and protein contents showed pronounced decrease. On the other hand, total phenolic compounds were increased. Histopathological studies indicated that A. flavus & A. parasiticus could colonize corn silks and invade developing kernels. Germination of A. flavus spores was occurred and hyphae spread rapidly across the silk, producing extensive growth and lateral branching. Conidiophores and conidia had formed in and on the corn silk. Temperature and relative humidity greatly influenced the growth of A. flavus & A. parasiticus and aflatoxin production.

  18. 40 CFR 180.418 - Cypermethrin and an isomer zeta-cypermethrin; tolerances for residues.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ..., sweet, kernel plus cob with husks removed 0.05 Corn, sweet, stover 15.00 Cotton, undelinted seed 0.5..., oil 4.0 Corn, field, grain 0.05 Corn, pop, grain 0.05 Corn, sweet, kernel plus cob with husks removed... Cilantro, leaves 10 Citrus, dried pulp 1.8 Citrus, oil 4.0 Corn, field, forage 0.20 Corn, field, grain 0.05...

  19. 40 CFR 180.418 - Cypermethrin and an isomer zeta-cypermethrin; tolerances for residues.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ..., sweet, kernel plus cob with husks removed 0.05 Corn, sweet, stover 15.00 Cotton, undelinted seed 0.5..., oil 4.0 Corn, field, grain 0.05 Corn, pop, grain 0.05 Corn, sweet, kernel plus cob with husks removed... Cilantro, leaves 10 Citrus, dried pulp 1.8 Citrus, oil 4.0 Corn, field, forage 0.20 Corn, field, grain 0.05...

  20. Simultaneous saccharification and cofermentation of lignocellulosic residues from commercial furfural production and corn kernels using different nutrient media

    PubMed Central

    2011-01-01

    Background As the supply of starch grain and sugar cane, currently the main feedstocks for bioethanol production, become limited, lignocelluloses will be sought as alternative materials for bioethanol production. Production of cellulosic ethanol is still cost-inefficient because of the low final ethanol concentration and the addition of nutrients. We report the use of simultaneous saccharification and cofermentation (SSCF) of lignocellulosic residues from commercial furfural production (furfural residue, FR) and corn kernels to compare different nutritional media. The final ethanol concentration, yield, number of live yeast cells, and yeast-cell death ratio were investigated to evaluate the effectiveness of integrating cellulosic and starch ethanol. Results Both the ethanol yield and number of live yeast cells increased with increasing corn-kernel concentration, whereas the yeast-cell death ratio decreased in SSCF of FR and corn kernels. An ethanol concentration of 73.1 g/L at 120 h, which corresponded to a 101.1% ethanol yield based on FR cellulose and corn starch, was obtained in SSCF of 7.5% FR and 14.5% corn kernels with mineral-salt medium. SSCF could simultaneously convert cellulose into ethanol from both corn kernels and FR, and SSCF ethanol yield was similar between the organic and mineral-salt media. Conclusions Starch ethanol promotes cellulosic ethanol by providing important nutrients for fermentative organisms, and in turn cellulosic ethanol promotes starch ethanol by providing cellulosic enzymes that convert the cellulosic polysaccharides in starch materials into additional ethanol. It is feasible to produce ethanol in SSCF of FR and corn kernels with mineral-salt medium. It would be cost-efficient to produce ethanol in SSCF of high concentrations of water-insoluble solids of lignocellulosic materials and corn kernels. Compared with prehydrolysis and fed-batch strategy using lignocellulosic materials, addition of starch hydrolysates to cellulosic ethanol production is a more suitable method to improve the final ethanol concentration. PMID:21801455

  1. 7 CFR 810.403 - Basis of determination.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... GRAIN United States Standards for Corn Principles Governing the Application of Standards § 810.403 Basis of determination. Each determination of class, damaged kernels, heat-damaged kernels, waxy corn, flint corn, and flint and dent corn is made on the basis of the grain after the removal of the broken...

  2. 7 CFR 810.403 - Basis of determination.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... GRAIN United States Standards for Corn Principles Governing the Application of Standards § 810.403 Basis of determination. Each determination of class, damaged kernels, heat-damaged kernels, waxy corn, flint corn, and flint and dent corn is made on the basis of the grain after the removal of the broken...

  3. Intraear Compensation of Field Corn, Zea mays, from Simulated and Naturally Occurring Injury by Ear-Feeding Larvae.

    PubMed

    Steckel, S; Stewart, S D

    2015-06-01

    Ear-feeding larvae, such as corn earworm, Helicoverpa zea Boddie (Lepidoptera: Noctuidae), can be important insect pests of field corn, Zea mays L., by feeding on kernels. Recently introduced, stacked Bacillus thuringiensis (Bt) traits provide improved protection from ear-feeding larvae. Thus, our objective was to evaluate how injury to kernels in the ear tip might affect yield when this injury was inflicted at the blister and milk stages. In 2010, simulated corn earworm injury reduced total kernel weight (i.e., yield) at both the blister and milk stage. In 2011, injury to ear tips at the milk stage affected total kernel weight. No differences in total kernel weight were found in 2013, regardless of when or how much injury was inflicted. Our data suggested that kernels within the same ear could compensate for injury to ear tips by increasing in size, but this increase was not always statistically significant or sufficient to overcome high levels of kernel injury. For naturally occurring injury observed on multiple corn hybrids during 2011 and 2012, our analyses showed either no or a minimal relationship between number of kernels injured by ear-feeding larvae and the total number of kernels per ear, total kernel weight, or the size of individual kernels. The results indicate that intraear compensation for kernel injury to ear tips can occur under at least some conditions. © The Authors 2015. Published by Oxford University Press on behalf of Entomological Society of America. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

  4. Identification of Fourier transform infrared photoacoustic spectral features for detection of Aspergillus flavus infection in corn.

    PubMed

    Gordon, S H; Schudy, R B; Wheeler, B C; Wicklow, D T; Greene, R V

    1997-04-01

    Aspergillus flavus and other pathogenic fungi display typical infrared spectra which differ significantly from spectra of substrate materials such as corn. On this basis, specific spectral features have been identified which permit detection of fungal infection on the surface of corn kernels by photoacoustic infrared spectroscopy. In a blind study, ten corn kernels showing bright greenish yellow fluorescence (BGYF) in the germ or endosperm and ten BGYF-negative kernels were correctly classified as infected or not infected by Fourier transform infrared photoacoustic spectroscopy. Earlier studies have shown that BGYF-positive kernels contain the bulk of the aflatoxin contaminating grain at harvest. Ten major spectral features, identified by visual inspection of the photoacoustic spectra of A. flavus mycelium grown in culture versus uninfected corn, were interpreted and assigned by theoretical comparisons of the relative chemical compositions of fungi and corn. The spectral features can be built into either empirical or knowledge-based computer models (expert systems) for automatic infrared detection and segregation of grains or kernels containing aflatoxin from the food and feed supply.

  5. 7 CFR 4288.102 - Definitions.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... biomass, other than corn kernel starch, to include: (1) Biofuel derived from cellulose, hemicellulose, or lignin; (2) Biofuel derived from sugar and starch (other than ethanol derived from corn kernel starch... kernel starch. Eligible renewable energy content. That portion of an advanced biofuel's energy content...

  6. 7 CFR 4288.102 - Definitions.

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... biomass, other than corn kernel starch, to include: (1) Biofuel derived from cellulose, hemicellulose, or lignin; (2) Biofuel derived from sugar and starch (other than ethanol derived from corn kernel starch... kernel starch. Eligible renewable energy content. That portion of an advanced biofuel's energy content...

  7. 7 CFR 4288.102 - Definitions.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... biomass, other than corn kernel starch, to include: (1) Biofuel derived from cellulose, hemicellulose, or lignin; (2) Biofuel derived from sugar and starch (other than ethanol derived from corn kernel starch... kernel starch. Eligible renewable energy content. That portion of an advanced biofuel's energy content...

  8. 40 CFR 180.368 - Metolachlor; tolerances for residues.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ..., forage 6.0 Corn, sweet, kernel plus cob with husks removed 0.10 Corn, sweet, stover 6.0 Cotton, gin..., sweet, kernel plus cob with husks removed 0.10 Corn, sweet, stover 40 Cotton, gin byproducts 4.0 Cotton... 0.05 Cattle, meat 0.02 Cattle, meat byproducts, except kidney and liver 0.04 Corn, field, forage 6.0...

  9. Evaluation of Biosynthesis, Accumulation and Antioxidant Activityof Vitamin E in Sweet Corn (Zea mays L.) during Kernel Development

    PubMed Central

    Xie, Lihua; Yu, Yongtao; Mao, Jihua; Liu, Haiying; Hu, Jian Guang; Li, Tong; Guo, Xinbo; Liu, Rui Hai

    2017-01-01

    Sweet corn kernels were used in this research to study the dynamics of vitamin E, by evaluatingthe expression levels of genes involved in vitamin E synthesis, the accumulation of vitamin E, and the antioxidant activity during the different stage of kernel development. Results showed that expression levels of ZmHPT and ZmTC genes increased, whereas ZmTMT gene dramatically decreased during kernel development. The contents of all the types of vitamin E in sweet corn had a significant upward increase during kernel development, and reached the highest level at 30 days after pollination (DAP). Amongst the eight isomers of vitamin E, the content of γ-tocotrienol was the highest, and increased by 14.9 folds, followed by α-tocopherolwith an increase of 22 folds, and thecontents of isomers γ-tocopherol, α-tocotrienol, δ-tocopherol,δ-tocotrienol, and β-tocopherol were also followed during kernel development. The antioxidant activity of sweet corn during kernel development was increased, and was up to 101.8 ± 22.3 μmol of α-tocopherol equivlent/100 g in fresh weight (FW) at 30 DAP. There was a positive correlation between vitamin E contents and antioxidant activity in sweet corn during the kernel development, and a negative correlation between the expressions of ZmTMT gene and vitamin E contents. These results revealed the relations amongst the content of vitamin E isomers and the gene expression, vitamin E accumulation, and antioxidant activity. The study can provide a harvesting strategy for vitamin E bio-fortification in sweet corn. PMID:29261149

  10. Evaluation of Biosynthesis, Accumulation and Antioxidant Activityof Vitamin E in Sweet Corn (Zea mays L.) during Kernel Development.

    PubMed

    Xie, Lihua; Yu, Yongtao; Mao, Jihua; Liu, Haiying; Hu, Jian Guang; Li, Tong; Guo, Xinbo; Liu, Rui Hai

    2017-12-20

    Sweet corn kernels were used in this research to study the dynamics of vitamin E, by evaluatingthe expression levels of genes involved in vitamin E synthesis, the accumulation of vitamin E, and the antioxidant activity during the different stage of kernel development. Results showed that expression levels of Zm HPT and Zm TC genes increased, whereas Zm TMT gene dramatically decreased during kernel development. The contents of all the types of vitamin E in sweet corn had a significant upward increase during kernel development, and reached the highest level at 30 days after pollination (DAP). Amongst the eight isomers of vitamin E, the content of γ-tocotrienol was the highest, and increased by 14.9 folds, followed by α-tocopherolwith an increase of 22 folds, and thecontents of isomers γ-tocopherol, α-tocotrienol, δ-tocopherol,δ-tocotrienol, and β-tocopherol were also followed during kernel development. The antioxidant activity of sweet corn during kernel development was increased, and was up to 101.8 ± 22.3 μmol of α-tocopherol equivlent/100 g in fresh weight (FW) at 30 DAP. There was a positive correlation between vitamin E contents and antioxidant activity in sweet corn during the kernel development, and a negative correlation between the expressions of Zm TMT gene and vitamin E contents. These results revealed the relations amongst the content of vitamin E isomers and the gene expression, vitamin E accumulation, and antioxidant activity. The study can provide a harvesting strategy for vitamin E bio-fortification in sweet corn.

  11. Nondestructive In Situ Measurement Method for Kernel Moisture Content in Corn Ear.

    PubMed

    Zhang, Han-Lin; Ma, Qin; Fan, Li-Feng; Zhao, Peng-Fei; Wang, Jian-Xu; Zhang, Xiao-Dong; Zhu, De-Hai; Huang, Lan; Zhao, Dong-Jie; Wang, Zhong-Yi

    2016-12-20

    Moisture content is an important factor in corn breeding and cultivation. A corn breed with low moisture at harvest is beneficial for mechanical operations, reduces drying and storage costs after harvesting and, thus, reduces energy consumption. Nondestructive measurement of kernel moisture in an intact corn ear allows us to select corn varieties with seeds that have high dehydration speeds in the mature period. We designed a sensor using a ring electrode pair for nondestructive measurement of the kernel moisture in a corn ear based on a high-frequency detection circuit. Through experiments using the effective scope of the electrodes' electric field, we confirmed that the moisture in the corn cob has little effect on corn kernel moisture measurement. Before the sensor was applied in practice, we investigated temperature and conductivity effects on the output impedance. Results showed that the temperature was linearly related to the output impedance (both real and imaginary parts) of the measurement electrodes and the detection circuit's output voltage. However, the conductivity has a non-monotonic dependence on the output impedance (both real and imaginary parts) of the measurement electrodes and the output voltage of the high-frequency detection circuit. Therefore, we reduced the effect of conductivity on the measurement results through measurement frequency selection. Corn moisture measurement results showed a quadric regression between corn ear moisture and the imaginary part of the output impedance, and there is also a quadric regression between corn kernel moisture and the high-frequency detection circuit output voltage at 100 MHz. In this study, two corn breeds were measured using our sensor and gave R ² values for the quadric regression equation of 0.7853 and 0.8496.

  12. Salt stress reduces kernel number of corn by inhibiting plasma membrane H+-ATPase activity.

    PubMed

    Jung, Stephan; Hütsch, Birgit W; Schubert, Sven

    2017-04-01

    Salt stress affects yield formation of corn (Zea mays L.) at various physiological levels resulting in an overall grain yield decrease. In this study we investigated how salt stress affects kernel development of two corn cultivars (cvs. Pioneer 3906 and Fabregas) at and shortly after pollination. In an earlier study, we found an accumulation of hexoses in the kernel tissue. Therefore, it was hypothesized that hexose uptake into developing endosperm and embryo might be inhibited. Hexoses are transported into the developing endosperm by carriers localized in the plasma membrane (PM). The transport is driven by the pH gradient which is built up by the PM H + -ATPase. It was investigated whether the PM H + -ATPase activity in developing corn kernels was inhibited by salt stress, which would cause a lower pH gradient resulting in impaired hexose import and finally in kernel abortion. Corn grown under control and salt stress conditions was harvested 0 and 2 days after pollination (DAP). Under salt stress sucrose and hexose concentrations in kernel tissue were higher 0 and 2 DAP. Kernel PM H + -ATPase activity was not affected at 0 DAP, but it was reduced at 2 DAP. This is in agreement with the finding, that kernel growth and thus kernel setting was not affected in the salt stress treatment at pollination, but it was reduced 2 days later. It is concluded that inhibition of PM H + -ATPase under salt stress impaired the energization of hexose transporters into the cells, resulting in lower kernel growth and finally in kernel abortion. Copyright © 2017 Elsevier Masson SAS. All rights reserved.

  13. 40 CFR 180.368 - Metolachlor; tolerances for residues.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ..., forage 6.0 Corn, sweet, kernel plus cob with husks removed 0.10 Corn, sweet, stover 6.0 Cotton, gin..., sweet, kernel plus cob with husks removed 0.10 Corn, sweet, stover 6.0 Cotton, gin byproducts 4.0 Cotton... 0.05 Cattle, meat 0.02 Cattle, meat byproducts, except kidney and liver 0.04 Corn, field, forage 6.0...

  14. 40 CFR 180.182 - Endosulfan; tolerances for residues.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... Apple, wet pomace 5.0 12/31/14 Blueberry 0.3 12/31/14 Corn, sweet, forage 12.0 12/31/14 Corn, sweet, kernel plus cob with husks removed 0.2 12/31/14 Corn, sweet, stover 14.0 12/31/14 Pepper 2.0 12/31/14....0 7/31/15 Corn, sweet, kernel plus cob with husks removed 0.2 7/31/15 Corn, sweet, stover 14.0 7/31...

  15. Determination of active ingredients in corn silk, leaf, and kernel by capillary electrophoresis with electrochemicaI detection.

    PubMed

    Lin, Miao; Chu, Qing-Cui; Tian, Xiu-Hui; Ye, Jian-Nong

    2007-01-01

    Corn has been known for its accumulation of flavones and phenolic acids. However, many parts of corn, except kernel, have not drawn much attention. In this work, a method based on capillary zone electrophoresis with electrochemical detection has been used for the separation and determination of epicatechin, rutin, ascorbic acid (Vc), kaempferol, chlorogenic acid, and quercetin in corn silk, leaf, and kernel. The distribution comparison of the ingredients among silk, leaf, and kernel is discussed. Several important factors--including running buffer acidity, separation voltage, and working electrode potential--were evaluated to acquire the optimum analysis conditions. Under the optimum conditions, the analytes could be well separated within 19 min in a 40-mmol/L borate buffer (pH 9.2). The response was linear over three orders of magnitude with detection limits (S/N = 3) ranging from 4.97 x 10(-8) to 9.75 x 10(-8) g/mL. The method has been successfully applied for the analysis of corn silk, leaf, and kernel with satisfactory results.

  16. Development of narrow-band fluorescence index for the detection of aflatoxin contaminated corn

    NASA Astrophysics Data System (ADS)

    Yao, Haibo; Hruska, Zuzana; Kincaid, Russell; Ononye, Ambrose; Brown, Robert L.; Bhatnagar, Deepak; Cleveland, Thomas E.

    2011-06-01

    Aflatoxin is produced by the fungus Aspergillus flavus when the fungus invades developing corn kernels. Because of its potent toxicity, the levels of aflatoxin are regulated by the Food and Drug Administration (FDA) in the US, allowing 20 ppb (parts per billion) limits in food, and feed intended for interstate commerce. Currently, aflatoxin detection and quantification methods are based on analytical tests. These tests require the destruction of samples, can be costly and time consuming, and often rely on less than desirable sampling techniques. Thus, the ability to detect aflatoxin in a rapid, non-invasive way is crucial to the corn industry in particular. This paper described how narrow-band fluorescence indices were developed for aflatoxin contamination detection based on single corn kernel samples. The indices were based on two bands extracted from full wavelength fluorescence hyperspectral imagery. The two band results were later applied to two large sample experiments with 25 g and 1 kg of corn per sample. The detection accuracies were 85% and 95% when 100 ppb threshold was used. Since the data acquisition period is significantly lower for several image bands than for full wavelength hyperspectral data, this study would be helpful in the development of real-time detection instrumentation for the corn industry.

  17. Inheritance of Kernel Color in Corn: Explanations and Investigations.

    ERIC Educational Resources Information Center

    Ford, Rosemary H.

    2000-01-01

    Offers a new perspective on traditional problems in genetics on kernel color in corn, including information about genetic regulation, metabolic pathways, and evolution of genes. (Contains 15 references.) (ASK)

  18. Spatial patterns of aflatoxin levels in relation to ear-feeding insect damage in pre-harvest corn.

    PubMed

    Ni, Xinzhi; Wilson, Jeffrey P; Buntin, G David; Guo, Baozhu; Krakowsky, Matthew D; Lee, R Dewey; Cottrell, Ted E; Scully, Brian T; Huffaker, Alisa; Schmelz, Eric A

    2011-07-01

    Key impediments to increased corn yield and quality in the southeastern US coastal plain region are damage by ear-feeding insects and aflatoxin contamination caused by infection of Aspergillus flavus. Key ear-feeding insects are corn earworm, Helicoverpa zea, fall armyworm, Spodoptera frugiperda, maize weevil, Sitophilus zeamais, and brown stink bug, Euschistus servus. In 2006 and 2007, aflatoxin contamination and insect damage were sampled before harvest in three 0.4-hectare corn fields using a grid sampling method. The feeding damage by each of ear/kernel-feeding insects (i.e., corn earworm/fall armyworm damage on the silk/cob, and discoloration of corn kernels by stink bugs), and maize weevil population were assessed at each grid point with five ears. The spatial distribution pattern of aflatoxin contamination was also assessed using the corn samples collected at each sampling point. Aflatoxin level was correlated to the number of maize weevils and stink bug-discolored kernels, but not closely correlated to either husk coverage or corn earworm damage. Contour maps of the maize weevil populations, stink bug-damaged kernels, and aflatoxin levels exhibited an aggregated distribution pattern with a strong edge effect on all three parameters. The separation of silk- and cob-feeding insects from kernel-feeding insects, as well as chewing (i.e., the corn earworm and maize weevil) and piercing-sucking insects (i.e., the stink bugs) and their damage in relation to aflatoxin accumulation is economically important. Both theoretic and applied ramifications of this study were discussed by proposing a hypothesis on the underlying mechanisms of the aggregated distribution patterns and strong edge effect of insect damage and aflatoxin contamination, and by discussing possible management tactics for aflatoxin reduction by proper management of kernel-feeding insects. Future directions on basic and applied research related to aflatoxin contamination are also discussed.

  19. Spatial Patterns of Aflatoxin Levels in Relation to Ear-Feeding Insect Damage in Pre-Harvest Corn

    PubMed Central

    Ni, Xinzhi; Wilson, Jeffrey P.; Buntin, G. David; Guo, Baozhu; Krakowsky, Matthew D.; Lee, R. Dewey; Cottrell, Ted E.; Scully, Brian T.; Huffaker, Alisa; Schmelz, Eric A.

    2011-01-01

    Key impediments to increased corn yield and quality in the southeastern US coastal plain region are damage by ear-feeding insects and aflatoxin contamination caused by infection of Aspergillus flavus. Key ear-feeding insects are corn earworm, Helicoverpa zea, fall armyworm, Spodoptera frugiperda, maize weevil, Sitophilus zeamais, and brown stink bug, Euschistus servus. In 2006 and 2007, aflatoxin contamination and insect damage were sampled before harvest in three 0.4-hectare corn fields using a grid sampling method. The feeding damage by each of ear/kernel-feeding insects (i.e., corn earworm/fall armyworm damage on the silk/cob, and discoloration of corn kernels by stink bugs), and maize weevil population were assessed at each grid point with five ears. The spatial distribution pattern of aflatoxin contamination was also assessed using the corn samples collected at each sampling point. Aflatoxin level was correlated to the number of maize weevils and stink bug-discolored kernels, but not closely correlated to either husk coverage or corn earworm damage. Contour maps of the maize weevil populations, stink bug-damaged kernels, and aflatoxin levels exhibited an aggregated distribution pattern with a strong edge effect on all three parameters. The separation of silk- and cob-feeding insects from kernel-feeding insects, as well as chewing (i.e., the corn earworm and maize weevil) and piercing-sucking insects (i.e., the stink bugs) and their damage in relation to aflatoxin accumulation is economically important. Both theoretic and applied ramifications of this study were discussed by proposing a hypothesis on the underlying mechanisms of the aggregated distribution patterns and strong edge effect of insect damage and aflatoxin contamination, and by discussing possible management tactics for aflatoxin reduction by proper management of kernel-feeding insects. Future directions on basic and applied research related to aflatoxin contamination are also discussed. PMID:22069748

  20. On-Plant Larval Movement and Feeding Behavior of Fall Armyworm (Lepidoptera: Noctuidae) on Reproductive Corn Stages.

    PubMed

    Pannuti, L E R; Baldin, E L L; Hunt, T E; Paula-Moraes, S V

    2016-02-01

    Spodoptera frugiperda J.E. Smith (fall armyworm) is considered one of the most destructive pests of corn throughout the Americas. Although this pest has been extensively studied, little is known about its larval movement and feeding behavior on reproductive compared to vegetative corn stages. Thus, we conducted studies with two corn stages (R1 and R3) and four corn plant zones (tassel, above ear, ear zone, and below ear) in the field at Concord, NE (USA), and in the field and greenhouse at Botucatu, SP (Brazil), to investigate on-plant larval movement. The effects of different corn tissues (opened tassel, closed tassel, silk, kernel, and leaf), two feeding sequence scenarios (closed tassel-leaf-silk-kernel and leaf-silk-kernel), and artificial diet (positive control) on larval survival and development were also evaluated in the laboratory. Ear zone has a strong effect on feeding choice and survival of fall armyworm larvae regardless of reproductive corn stage. Feeding site choice is made by first-instar. Corn leaves of reproductive plants were not suitable for early instar development, but silk and kernel tissues had a positive effect on survival and development of fall armyworm larvae on reproductive stage corn. © The Authors 2015. Published by Oxford University Press on behalf of Entomological Society of America. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

  1. Impact of Corn Earworm (Lepidoptera: Noctuidae) on Field Corn (Poales: Poaceae) Yield and Grain Quality.

    PubMed

    Bibb, Jenny L; Cook, Donald; Catchot, Angus; Musser, Fred; Stewart, Scott D; Leonard, Billy Rogers; Buntin, G David; Kerns, David; Allen, Tom W; Gore, Jeffrey

    2018-05-28

    Corn earworm, Helicoverpa zea (Boddie), commonly infests field corn, Zea mays (L.). The combination of corn plant biology, corn earworm behavior in corn ecosystems, and field corn value renders corn earworm management with foliar insecticides noneconomical. Corn technologies containing Bacillus thuringiensis (Bt) Berliner (Bacillales: Bacillaceae) were introduced that exhibit substantial efficacy against corn earworm and may reduce mycotoxin contamination in grain. The first generation Bt traits in field corn demonstrated limited activity on corn earworm feeding on grain. The pyramided corn technologies have greater cumulative protein concentrations and higher expression throughout the plant, so these corn traits should provide effective management of this pest. Additionally, reduced kernel injury may affect physical grain quality. Experiments were conducted during 2011-2012 to investigate corn earworm impact on field corn yield and grain quality. Treatments included field corn hybrids expressing the Herculex, YieldGard, and Genuity VT Triple Pro technologies. Supplemental insecticide treatments were applied every 1-2 d from silk emergence until silk senescence to create a range of injured kernels for each technology. No significant relationship between the number of corn earworm damaged kernels and yield was observed for any technology/hybrid. In these studies, corn earworm larvae did not cause enough damage to impact yield. Additionally, no consistent relationship between corn earworm damage and aflatoxin contamination was observed. Based on these data, the economic value of pyramided Bt corn traits to corn producers, in the southern United States, appears to be from management of other lepidopteran insect pests including European and southwestern corn borer.

  2. 40 CFR 180.617 - Metconazole; tolerances for residues.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ....04 Corn, field, forage 3.0 Corn, field, grain 0.02 Corn, field, stover 4.5 Corn, pop, grain 0.02 Corn, pop, stover 4.5 Corn, sweet, forage 3.0 Corn, sweet, kernel plus cob with husks removed 0.01 Corn...

  3. 40 CFR 180.617 - Metconazole; tolerances for residues.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ....04 Corn, field, forage 3.0 Corn, field, grain 0.02 Corn, field, stover 4.5 Corn, pop, grain 0.02 Corn, pop, stover 4.5 Corn, sweet, forage 3.0 Corn, sweet, kernel plus cob with husks removed 0.01 Corn...

  4. 40 CFR 180.342 - Chlorpyrifos; tolerances for residues.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ..., oil 20 Corn, field, forage 8.0 Corn, field, grain 0.05 Corn, field, refined oil 0.25 Corn, field, stover 8.0 Corn, sweet, forage 8.0 Corn, sweet, kernel plus cob with husk removed 0.05 Corn, sweet...

  5. 40 CFR 180.342 - Chlorpyrifos; tolerances for residues.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ..., oil 20 Corn, field, forage 8.0 Corn, field, grain 0.05 Corn, field, refined oil 0.25 Corn, field, stover 8.0 Corn, sweet, forage 8.0 Corn, sweet, kernel plus cob with husk removed 0.05 Corn, sweet...

  6. 40 CFR 180.565 - Thiamethoxam; tolerances for residues.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ....20 Corn, field, forage 0.10 Corn, field, stover 0.05 Corn, pop, forage 0.10 Corn, pop, stover 0.05 Corn, sweet, forage 0.10 Corn, sweet, kernel plus cob with husks removed 0.02 Corn, sweet, stover 0.05...

  7. 40 CFR 180.342 - Chlorpyrifos; tolerances for residues.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ..., oil 20 Corn, field, forage 8.0 Corn, field, grain 0.05 Corn, field, refined oil 0.25 Corn, field, stover 8.0 Corn, sweet, forage 8.0 Corn, sweet, kernel plus cob with husk removed 0.05 Corn, sweet...

  8. 40 CFR 180.342 - Chlorpyrifos; tolerances for residues.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ..., oil 20 Corn, field, forage 8.0 Corn, field, grain 0.05 Corn, field, refined oil 0.25 Corn, field, stover 8.0 Corn, sweet, forage 8.0 Corn, sweet, kernel plus cob with husk removed 0.05 Corn, sweet...

  9. 40 CFR 180.565 - Thiamethoxam; tolerances for residues.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ....20 Corn, field, forage 0.10 Corn, field, stover 0.05 Corn, pop, forage 0.10 Corn, pop, stover 0.05 Corn, sweet, forage 0.10 Corn, sweet, kernel plus cob with husks removed 0.02 Corn, sweet, stover 0.05...

  10. 40 CFR 180.342 - Chlorpyrifos; tolerances for residues.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ..., oil 20 Corn, field, forage 8.0 Corn, field, grain 0.05 Corn, field, refined oil 0.25 Corn, field, stover 8.0 Corn, sweet, forage 8.0 Corn, sweet, kernel plus cob with husk removed 0.05 Corn, sweet...

  11. 40 CFR 180.565 - Thiamethoxam; tolerances for residues.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ....05 Corn, field, forage 0.10 Corn, field, stover 0.05 Corn, pop, forage 0.10 Corn, pop, stover 0.05 Corn, sweet, forage 0.10 Corn, sweet, kernel plus cob with husks removed 0.02 Corn, sweet, stover 0.05...

  12. 40 CFR 180.361 - Pendimethalin; tolerances for residues.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ..., oil 0.5 Corn, field, forage 0.1 Corn, field, grain 0.1 Corn, field, stover 0.1 Corn, pop, grain 0.1 Corn, sweet, forage 0.1 Corn, sweet, kernel plus cob with husks removed 0.1 Corn, sweet, stover 0.1...

  13. 40 CFR 180.232 - Butylate; tolerances for residues.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... Corn, field, forage 0.1 Corn, field, grain 0.1 Corn, field, stover 0.1 Corn, pop, forage 0.1 Corn, pop, grain 0.1 Corn, sweet, forage 0.1 Corn, sweet, kernel plus cob with husks removed 0.1 (b) Section 18...

  14. 40 CFR 180.232 - Butylate; tolerances for residues.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... Corn, field, forage 0.1 Corn, field, grain 0.1 Corn, field, stover 0.1 Corn, pop, forage 0.1 Corn, pop, grain 0.1 Corn, sweet, forage 0.1 Corn, sweet, kernel plus cob with husks removed 0.1 (b) Section 18...

  15. 40 CFR 180.1254 - Aspergillus flavus NRRL 21882; exemption from the requirement of a tolerance.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... NRRL 21882 on corn, field, forage; corn, field, grain; corn, field, stover; corn, field, aspirated grain fractions; corn, sweet, kernel plus cob with husk removed; corn, sweet, forage; corn, sweet, stover; corn, pop, grain; and corn, pop, stover. [75 FR 6576, Feb. 10, 2010] ...

  16. 40 CFR 180.1254 - Aspergillus flavus NRRL 21882; exemption from the requirement of a tolerance.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... NRRL 21882 on corn, field, forage; corn, field, grain; corn, field, stover; corn, field, aspirated grain fractions; corn, sweet, kernel plus cob with husk removed; corn, sweet, forage; corn, sweet, stover; corn, pop, grain; and corn, pop, stover. [75 FR 6576, Feb. 10, 2010] ...

  17. 40 CFR 180.1254 - Aspergillus flavus NRRL 21882; exemption from the requirement of a tolerance.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... NRRL 21882 on corn, field, forage; corn, field, grain; corn, field, stover; corn, field, aspirated grain fractions; corn, sweet, kernel plus cob with husk removed; corn, sweet, forage; corn, sweet, stover; corn, pop, grain; and corn, pop, stover. [75 FR 6576, Feb. 10, 2010] ...

  18. 40 CFR 180.1254 - Aspergillus flavus NRRL 21882; exemption from the requirement of a tolerance.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... NRRL 21882 on corn, field, forage; corn, field, grain; corn, field, stover; corn, field, aspirated grain fractions; corn, sweet, kernel plus cob with husk removed; corn, sweet, forage; corn, sweet, stover; corn, pop, grain; and corn, pop, stover. [75 FR 6576, Feb. 10, 2010] ...

  19. 40 CFR 180.1254 - Aspergillus flavus NRRL 21882; exemption from the requirement of a tolerance.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... NRRL 21882 on corn, field, forage; corn, field, grain; corn, field, stover; corn, field, aspirated grain fractions; corn, sweet, kernel plus cob with husk removed; corn, sweet, forage; corn, sweet, stover; corn, pop, grain; and corn, pop, stover. [75 FR 6576, Feb. 10, 2010] ...

  20. 40 CFR 180.262 - Ethoprop; tolerances for residues.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ..., succulent 0.02 Cabbage 0.02 Corn, field, forage 0.02 Corn, field, grain 0.02 Corn, field, stover 0.02 Corn, sweet, forage 0.02 Corn, sweet, kernel plus cob with husks removed 0.02 Corn, sweet, stover 0.02...

  1. 40 CFR 180.262 - Ethoprop; tolerances for residues.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ..., succulent 0.02 Cabbage 0.02 Corn, field, forage 0.02 Corn, field, grain 0.02 Corn, field, stover 0.02 Corn, sweet, forage 0.02 Corn, sweet, kernel plus cob with husks removed 0.02 Corn, sweet, stover 0.02...

  2. 40 CFR 180.262 - Ethoprop; tolerances for residues.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ..., succulent 0.02 Cabbage 0.02 Corn, field, forage 0.02 Corn, field, grain 0.02 Corn, field, stover 0.02 Corn, sweet, forage 0.02 Corn, sweet, kernel plus cob with husks removed 0.02 Corn, sweet, stover 0.02...

  3. 40 CFR 180.262 - Ethoprop; tolerances for residues.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ..., succulent 0.02 Cabbage 0.02 Corn, field, forage 0.02 Corn, field, grain 0.02 Corn, field, stover 0.02 Corn, sweet, forage 0.02 Corn, sweet, kernel plus cob with husks removed 0.02 Corn, sweet, stover 0.02...

  4. 75 FR 6576 - Exemption from the Requirement of a Tolerance; Technical Amendment

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-02-10

    ... the requirement of a tolerance is established for residues of Aspergillus flavus NRRL 21882 on corn, field, forage; corn, field, grain; corn, field, stover; corn, field, aspirated grain fractions; corn, sweet, kernel plus cob with husk removed; corn, sweet, forage; corn, sweet, stover; corn, pop, grain...

  5. 40 CFR 180.1219 - Foramsulfuron; exemption from the requirement of a tolerance.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... pesticide foramsulfuron is exempted from the requirement of a tolerance in corn, field, grain/corn, field, forage/ corn, field, stover/corn, pop, grain/corn, pop, forage/corn, pop, stover; corn, sweet, forage; corn, sweet, kernel plus cob with husks removed; corn, sweet, stover when applied as a herbicide in...

  6. 40 CFR 180.1219 - Foramsulfuron; exemption from the requirement of a tolerance.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... pesticide foramsulfuron is exempted from the requirement of a tolerance in corn, field, grain/corn, field, forage/ corn, field, stover/corn, pop, grain/corn, pop, forage/corn, pop, stover; corn, sweet, forage; corn, sweet, kernel plus cob with husks removed; corn, sweet, stover when applied as a herbicide in...

  7. 40 CFR 180.1219 - Foramsulfuron; exemption from the requirement of a tolerance.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... pesticide foramsulfuron is exempted from the requirement of a tolerance in corn, field, grain/corn, field, forage/ corn, field, stover/corn, pop, grain/corn, pop, forage/corn, pop, stover; corn, sweet, forage; corn, sweet, kernel plus cob with husks removed; corn, sweet, stover when applied as a herbicide in...

  8. 40 CFR 180.1219 - Foramsulfuron; exemption from the requirement of a tolerance.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... pesticide foramsulfuron is exempted from the requirement of a tolerance in corn, field, grain/corn, field, forage/ corn, field, stover/corn, pop, grain/corn, pop, forage/corn, pop, stover; corn, sweet, forage; corn, sweet, kernel plus cob with husks removed; corn, sweet, stover when applied as a herbicide in...

  9. 40 CFR 180.1206 - Aspergillus flavus AF36; exemption from the requirement of a tolerance.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... on corn, field, forage; corn, field, grain; corn, field, stover; corn, field, aspirated grain fractions; corn, sweet, kernel plus cob with husk removed; corn, sweet, forage; corn, sweet, stover; corn, pop, grain; and corn, pop, stover, when applied/used as an antifungal agent. [68 FR 41541, July 14...

  10. 40 CFR 180.1219 - Foramsulfuron; exemption from the requirement of a tolerance.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... pesticide foramsulfuron is exempted from the requirement of a tolerance in corn, field, grain/corn, field, forage/ corn, field, stover/corn, pop, grain/corn, pop, forage/corn, pop, stover; corn, sweet, forage; corn, sweet, kernel plus cob with husks removed; corn, sweet, stover when applied as a herbicide in...

  11. 40 CFR 180.523 - Metaldehyde; tolerances for residues.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ....15 Cactus 0.07 Caneberry subgroup 13-07A 0.15 Corn, field, forage 0.30 Corn, field, grain 0.05 Corn, field, stover 0.10 Corn, sweet, forage 0.30 Corn, sweet, kernel plus cob with husks removed 0.05 Corn...

  12. 40 CFR 174.502 - Bacillus thuringiensis Cry1A.105 protein; exemption from the requirement of a tolerance.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... or on the food and feed commodities of corn; corn, field, flour; corn, field, forage; corn, field, grain; corn, field, grits; corn, field, meal; corn, field, refined oil; corn, field, stover; corn, sweet, forage; corn, sweet, kernel plus cob with husk removed; corn, sweet, stover; and corn, pop, grain and...

  13. 40 CFR 174.502 - Bacillus thuringiensis Cry1A.105 protein; exemption from the requirement of a tolerance.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... or on the food and feed commodities of corn; corn, field, flour; corn, field, forage; corn, field, grain; corn, field, grits; corn, field, meal; corn, field, refined oil; corn, field, stover; corn, sweet, forage; corn, sweet, kernel plus cob with husk removed; corn, sweet, stover; and corn, pop, grain and...

  14. 40 CFR 174.502 - Bacillus thuringiensis Cry1A.105 protein; exemption from the requirement of a tolerance.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... or on the food and feed commodities of corn; corn, field, flour; corn, field, forage; corn, field, grain; corn, field, grits; corn, field, meal; corn, field, refined oil; corn, field, stover; corn, sweet, forage; corn, sweet, kernel plus cob with husk removed; corn, sweet, stover; and corn, pop, grain and...

  15. 7 CFR 810.2202 - Definition of other terms.

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... kernels, foreign material, and shrunken and broken kernels. The sum of these three factors may not exceed... the removal of dockage and shrunken and broken kernels. (g) Heat-damaged kernels. Kernels, pieces of... sample after the removal of dockage and shrunken and broken kernels. (h) Other grains. Barley, corn...

  16. Classification of corn kernels contaminated with aflatoxins using fluorescence and reflectance hyperspectral images analysis

    NASA Astrophysics Data System (ADS)

    Zhu, Fengle; Yao, Haibo; Hruska, Zuzana; Kincaid, Russell; Brown, Robert; Bhatnagar, Deepak; Cleveland, Thomas

    2015-05-01

    Aflatoxins are secondary metabolites produced by certain fungal species of the Aspergillus genus. Aflatoxin contamination remains a problem in agricultural products due to its toxic and carcinogenic properties. Conventional chemical methods for aflatoxin detection are time-consuming and destructive. This study employed fluorescence and reflectance visible near-infrared (VNIR) hyperspectral images to classify aflatoxin contaminated corn kernels rapidly and non-destructively. Corn ears were artificially inoculated in the field with toxigenic A. flavus spores at the early dough stage of kernel development. After harvest, a total of 300 kernels were collected from the inoculated ears. Fluorescence hyperspectral imagery with UV excitation and reflectance hyperspectral imagery with halogen illumination were acquired on both endosperm and germ sides of kernels. All kernels were then subjected to chemical analysis individually to determine aflatoxin concentrations. A region of interest (ROI) was created for each kernel to extract averaged spectra. Compared with healthy kernels, fluorescence spectral peaks for contaminated kernels shifted to longer wavelengths with lower intensity, and reflectance values for contaminated kernels were lower with a different spectral shape in 700-800 nm region. Principal component analysis was applied for data compression before classifying kernels into contaminated and healthy based on a 20 ppb threshold utilizing the K-nearest neighbors algorithm. The best overall accuracy achieved was 92.67% for germ side in the fluorescence data analysis. The germ side generally performed better than endosperm side. Fluorescence and reflectance image data achieved similar accuracy.

  17. 40 CFR 180.535 - Fluroxypyr 1-methylheptyl ester; tolerances for residues.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... Cattle, meat 0.1 Cattle, meat byproducts 0.1 Corn, field, forage 1.0 Corn, field, grain 0.02 Corn, field, stover 0.5 Corn, sweet, forage 1.0 Corn, sweet, kernel plus cob with husks removed 0.02 Corn, sweet...

  18. Automatic detection of aflatoxin contaminated corn kernels using dual-band imagery

    NASA Astrophysics Data System (ADS)

    Ononye, Ambrose E.; Yao, Haibo; Hruska, Zuzana; Kincaid, Russell; Brown, Robert L.; Cleveland, Thomas E.

    2009-05-01

    Aflatoxin is a mycotoxin predominantly produced by Aspergillus flavus and Aspergillus parasitiucus fungi that grow naturally in corn, peanuts and in a wide variety of other grain products. Corn, like other grains is used as food for human and feed for animal consumption. It is known that aflatoxin is carcinogenic; therefore, ingestion of corn infected with the toxin can lead to very serious health problems such as liver damage if the level of the contamination is high. The US Food and Drug Administration (FDA) has strict guidelines for permissible levels in the grain products for both humans and animals. The conventional approach used to determine these contamination levels is one of the destructive and invasive methods that require corn kernels to be ground and then chemically analyzed. Unfortunately, each of the analytical methods can take several hours depending on the quantity, to yield a result. The development of high spectral and spatial resolution imaging sensors has created an opportunity for hyperspectral image analysis to be employed for aflatoxin detection. However, this brings about a high dimensionality problem as a setback. In this paper, we propose a technique that automatically detects aflatoxin contaminated corn kernels by using dual-band imagery. The method exploits the fluorescence emission spectra from corn kernels captured under 365 nm ultra-violet light excitation. Our approach could lead to a non-destructive and non-invasive way of quantifying the levels of aflatoxin contamination. The preliminary results shown here, demonstrate the potential of our technique for aflatoxin detection.

  19. 40 CFR 180.570 - Isoxadifen-ethyl; tolerances for residues.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... (safener) in or on the following raw agricultural commodities: Commodity Parts per million Corn, field, forage 0.20 Corn, field, grain 0.08 Corn, field, stover 0.40 Corn, oil 0.50 Corn, pop, grain 0.04 Corn, pop, stover 0.25 Corn, sweet, forage 0.30 Corn, sweet, kernel plus cob with husk removed 0.04 Corn...

  20. 40 CFR 180.1206 - Aspergillus flavus AF36; exemption from the requirement of a tolerance.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... tolerance is established for residues of Aspergillus flavus AF36 in or on corn, field, forage; corn, field, grain; corn, field, stover; corn, field, aspirated grain fractions; corn, sweet, kernel plus cob with husk removed; corn, sweet, forage; corn, sweet, stover; corn, pop, grain; and corn, pop, stover, when...

  1. 40 CFR 180.1206 - Aspergillus flavus AF36; exemption from the requirement of a tolerance.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... tolerance is established for residues of Aspergillus flavus AF36 in or on corn, field, forage; corn, field, grain; corn, field, stover; corn, field, aspirated grain fractions; corn, sweet, kernel plus cob with husk removed; corn, sweet, forage; corn, sweet, stover; corn, pop, grain; and corn, pop, stover, when...

  2. 40 CFR 180.570 - Isoxadifen-ethyl; tolerances for residues.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... (safener) in or on the following raw agricultural commodities: Commodity Parts per million Corn, field, forage 0.20 Corn, field, grain 0.08 Corn, field, stover 0.40 Corn, oil 0.50 Corn, pop, grain 0.04 Corn, pop, stover 0.25 Corn, sweet, forage 0.30 Corn, sweet, kernel plus cob with husk removed 0.04 Corn...

  3. 40 CFR 180.570 - Isoxadifen-ethyl; tolerances for residues.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... (safener) in or on the following raw agricultural commodities: Commodity Parts per million Corn, field, forage 0.20 Corn, field, grain 0.08 Corn, field, stover 0.40 Corn, oil 0.50 Corn, pop, grain 0.04 Corn, pop, stover 0.25 Corn, sweet, forage 0.30 Corn, sweet, kernel plus cob with husk removed 0.04 Corn...

  4. 40 CFR 180.570 - Isoxadifen-ethyl; tolerances for residues.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... (safener) in or on the following raw agricultural commodities: Commodity Parts per million Corn, field, forage 0.20 Corn, field, grain 0.08 Corn, field, stover 0.40 Corn, oil 0.50 Corn, pop, grain 0.04 Corn, pop, stover 0.25 Corn, sweet, forage 0.30 Corn, sweet, kernel plus cob with husk removed 0.04 Corn...

  5. 40 CFR 180.570 - Isoxadifen-ethyl; tolerances for residues.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... (safener) in or on the following raw agricultural commodities: Commodity Parts per million Corn, field, forage 0.20 Corn, field, grain 0.08 Corn, field, stover 0.40 Corn, oil 0.50 Corn, pop, grain 0.04 Corn, pop, stover 0.25 Corn, sweet, forage 0.30 Corn, sweet, kernel plus cob with husk removed 0.04 Corn...

  6. 40 CFR 180.1206 - Aspergillus flavus AF36; exemption from the requirement of a tolerance.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... tolerance is established for residues of Aspergillus flavus AF36 in or on corn, field, forage; corn, field, grain; corn, field, stover; corn, field, aspirated grain fractions; corn, sweet, kernel plus cob with husk removed; corn, sweet, forage; corn, sweet, stover; corn, pop, grain; and corn, pop, stover, when...

  7. Relationship between processing score and kernel-fraction particle size in whole-plant corn silage.

    PubMed

    Dias Junior, G S; Ferraretto, L F; Salvati, G G S; de Resende, L C; Hoffman, P C; Pereira, M N; Shaver, R D

    2016-04-01

    Kernel processing increases starch digestibility in whole-plant corn silage (WPCS). Corn silage processing score (CSPS), the percentage of starch passing through a 4.75-mm sieve, is widely used to assess degree of kernel breakage in WPCS. However, the geometric mean particle size (GMPS) of the kernel-fraction that passes through the 4.75-mm sieve has not been well described. Therefore, the objectives of this study were (1) to evaluate particle size distribution and digestibility of kernels cut in varied particle sizes; (2) to propose a method to measure GMPS in WPCS kernels; and (3) to evaluate the relationship between CSPS and GMPS of the kernel fraction in WPCS. Composite samples of unfermented, dried kernels from 110 corn hybrids commonly used for silage production were kept whole (WH) or manually cut in 2, 4, 8, 16, 32 or 64 pieces (2P, 4P, 8P, 16P, 32P, and 64P, respectively). Dry sieving to determine GMPS, surface area, and particle size distribution using 9 sieves with nominal square apertures of 9.50, 6.70, 4.75, 3.35, 2.36, 1.70, 1.18, and 0.59 mm and pan, as well as ruminal in situ dry matter (DM) digestibilities were performed for each kernel particle number treatment. Incubation times were 0, 3, 6, 12, and 24 h. The ruminal in situ DM disappearance of unfermented kernels increased with the reduction in particle size of corn kernels. Kernels kept whole had the lowest ruminal DM disappearance for all time points with maximum DM disappearance of 6.9% at 24 h and the greatest disappearance was observed for 64P, followed by 32P and 16P. Samples of WPCS (n=80) from 3 studies representing varied theoretical length of cut settings and processor types and settings were also evaluated. Each WPCS sample was divided in 2 and then dried at 60 °C for 48 h. The CSPS was determined in duplicate on 1 of the split samples, whereas on the other split sample the kernel and stover fractions were separated using a hydrodynamic separation procedure. After separation, the kernel fraction was redried at 60°C for 48 h in a forced-air oven and dry sieved to determine GMPS and surface area. Linear relationships between CSPS from WPCS (n=80) and kernel fraction GMPS, surface area, and proportion passing through the 4.75-mm screen were poor. Strong quadratic relationships between proportion of kernel fraction passing through the 4.75-mm screen and kernel fraction GMPS and surface area were observed. These findings suggest that hydrodynamic separation and dry sieving of the kernel fraction may provide a better assessment of kernel breakage in WPCS than CSPS. Copyright © 2016 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

  8. Progress in ethanol production from corn kernel by applying cooking pre-treatment.

    PubMed

    Voca, Neven; Varga, Boris; Kricka, Tajana; Curic, Duska; Jurisic, Vanja; Matin, Ana

    2009-05-01

    In order to improve technological properties of corn kernel for ethanol production, samples were treated with a hydrothermal pre-treatment of cooking (steaming), prior to drying. Two types of cooking process parameters were applied; steam pressure of 0.5 bars during a 10 min period, and steam pressure of 1.5 bars during a 30 min period. Afterwards, samples were dried at four different temperatures, 70, 90, 110 and 130 degrees C. Control sample was also submitted to the aforementioned drying parameters. Since the results showed that starch utilization, due to the gelatinization process, was considerably higher in the samples pre-treated before the ethanol production process, it was found that the cooking treatment had a positive effect on ethanol yield from corn kernel. Therefore, the highest ethanol yield was found in the corn kernel samples cooked for 30 min at steam pressure 1.5 bars and dried at 130 degrees C. Due to the similarity of processes used for starch fermentation, introduction of cooking pre-treatment will not significantly increase the overall ethanol production costs, whereas it will result in significantly higher ethanol yield.

  9. 40 CFR 180.121 - Methyl parathion; tolerances for residues.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... Cabbage 1.0 1/24/09 Corn, field, forage 1.0 None Corn, field, grain 1.0 None Corn, pop, grain 1.0 None Corn, sweet, forage 1.0 None Corn, sweet, kernel plus cob with husks removed 1.0 None Cotton...

  10. 40 CFR 180.121 - Methyl parathion; tolerances for residues.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... Cabbage 1.0 1/24/09 Corn, field, forage 1.0 None Corn, field, grain 1.0 None Corn, pop, grain 1.0 None Corn, sweet, forage 1.0 None Corn, sweet, kernel plus cob with husks removed 1.0 None Cotton...

  11. 40 CFR 180.549 - Diflufenzopyr; tolerances for residues.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... diflufenzopyr, in or on the following raw agricultural commodities: Commodity Parts per million Corn, field, forage 0.05 Corn, field, grain 0.05 Corn, field, stover 0.05 Corn, pop, grain 0.05 Corn, pop, stover 0.05 Corn, sweet, forage 0.05 Corn, sweet, kernel plus cob with husks removed 0.05 Corn, sweet, stover 0.05...

  12. 40 CFR 180.440 - Tefluthrin; tolerances for residues.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... commodities: Commodity Parts per million Corn, field, forage 0.06 Corn, field, grain 0.06 Corn, field, stover 0.06 Corn, pop, grain 0.06 Corn, pop, stover 0.06 Corn, sweet, forage 0.06 Corn, sweet, kernel plus cob with husks removed 0.06 Corn, sweet, stover 0.06 (b) Section 18 emergency exemptions. [Reserved...

  13. 40 CFR 180.470 - Acetochlor; tolerances for residues.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... stoichiometric equivalents of acetochlor, in or on the following commodities: Commodity Parts per million Corn, field, forage 4.5 Corn, field, grain 0.05 Corn, field, stover 2.5 Corn, pop, grain 0.05 Corn, pop, stover 2.5 Corn, sweet, forage 1.5 Corn, sweet, kernels plus cob with husks removed 0.05 Corn, sweet...

  14. 40 CFR 180.350 - Nitrapyrin; tolerances for residues.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ...-chloropicolinic acid in or on the following raw agricultural commodities: Commodity Parts per million Corn, field, forage 1.0 Corn, field, grain 0.1 Corn, field, milled byproducts 0.2 Corn, field, stover 1.0 Corn, pop, grain 0.1 Corn, pop, stover 1.0 Corn, sweet, forage 1.0 Corn, sweet, kernel plus cob with husks removed...

  15. 40 CFR 180.350 - Nitrapyrin; tolerances for residues.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ...-chloropicolinic acid in or on the following raw agricultural commodities: Commodity Parts per million Corn, field, forage 1.0 Corn, field, grain 0.1 Corn, field, milled byproducts 0.2 Corn, field, stover 1.0 Corn, pop, grain 0.1 Corn, pop, stover 1.0 Corn, sweet, forage 1.0 Corn, sweet, kernel plus cob with husks removed...

  16. 40 CFR 180.549 - Diflufenzopyr; tolerances for residues.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... diflufenzopyr, in or on the following raw agricultural commodities: Commodity Parts per million Corn, field, forage 0.05 Corn, field, grain 0.05 Corn, field, stover 0.05 Corn, pop, grain 0.05 Corn, pop, stover 0.05 Corn, sweet, forage 0.05 Corn, sweet, kernel plus cob with husks removed 0.05 Corn, sweet, stover 0.05...

  17. 40 CFR 180.350 - Nitrapyrin; tolerances for residues.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ...-chloropicolinic acid in or on the following raw agricultural commodities: Commodity Parts per million Corn, field, forage 1.0 Corn, field, grain 0.1 Corn, field, milled byproducts 0.2 Corn, field, stover 1.0 Corn, pop, grain 0.1 Corn, pop, stover 1.0 Corn, sweet, forage 1.0 Corn, sweet, kernel plus cob with husks removed...

  18. 40 CFR 180.469 - Dichlormid; tolerances for residues.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... Parts per million Corn, field, forage 0.05 Corn, field, grain 0.05 Corn, field, stover 0.05 Corn, pop, grain 0.05 Corn, pop, stover 0.05 Corn, sweet, forage 0.05 Corn, sweet, kernel plus cob with husks removed 0.05 Corn, sweet, stover 0.05 (b) Section 18 emergency exemptions. [Reserved] (c) Tolerances with...

  19. 40 CFR 180.486 - Chlorethoxyfos; tolerances for residues.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ...) phosphorothioate, in or on the commodity. Commodity Parts per million Corn, field, forage 0.01 Corn, field, grain 0.01 Corn, field, stover 0.01 Corn, pop, grain 0.01 Corn, pop, stover 0.01 Corn, sweet, forage 0.01 Corn, sweet, kernel plus cob with husks removed 0.01 Corn, sweet, stover 0.01 (b) Section 18 emergency...

  20. 40 CFR 180.253 - Methomyl; tolerances for residues.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... Cabbage, Chinese, bok choy 5 Cabbage, Chinese, napa 5 Cauliflower 2 Celery 3 Collards 6 Corn, field, forage 10 Corn, field, grain 0.1 Corn, field, stover 10 Corn, pop, grain 0.1 Corn, pop, stover 10 Corn, sweet, forage 10 Corn, sweet, kernel plus cob with husks removed 0.1(N) Corn, sweet, stover 10 Cotton...

  1. 40 CFR 180.440 - Tefluthrin; tolerances for residues.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... commodities: Commodity Parts per million Corn, field, forage 0.06 Corn, field, grain 0.06 Corn, field, stover 0.06 Corn, pop, grain 0.06 Corn, pop, stover 0.06 Corn, sweet, forage 0.06 Corn, sweet, kernel plus cob with husks removed 0.06 Corn, sweet, stover 0.06 (b) Section 18 emergency exemptions. [Reserved...

  2. 40 CFR 180.639 - Flubendiamide; tolerances for residues.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... million Almond, hulls 9.0 Apple, wet pomace 5.0 Corn, field, forage 8.0 Corn, field, grain 0.03 Corn, field, stover 15 Corn, pop, grain 0.02 Corn, pop, stover 15 Corn, sweet, forage 9.0 Corn, sweet, kernel plus cob with husks removed 0.01 Corn, sweet, stover 25 Cotton gin byproducts 60 Cotton, undelinted...

  3. 40 CFR 180.549 - Diflufenzopyr; tolerances for residues.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... diflufenzopyr, in or on the following raw agricultural commodities: Commodity Parts per million Corn, field, forage 0.05 Corn, field, grain 0.05 Corn, field, stover 0.05 Corn, pop, grain 0.05 Corn, pop, stover 0.05 Corn, sweet, forage 0.05 Corn, sweet, kernel plus cob with husks removed 0.05 Corn, sweet, stover 0.05...

  4. 40 CFR 180.486 - Chlorethoxyfos; tolerances for residues.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ...) phosphorothioate, in or on the commodity. Commodity Parts per million Corn, field, forage 0.01 Corn, field, grain 0.01 Corn, field, stover 0.01 Corn, pop, grain 0.01 Corn, pop, stover 0.01 Corn, sweet, forage 0.01 Corn, sweet, kernel plus cob with husks removed 0.01 Corn, sweet, stover 0.01 (b) Section 18 emergency...

  5. 40 CFR 180.434 - Propiconazole; tolerances for residues.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ....05 Cattle, meat byproducts, except liver and kidney 0.05 Cilantro, leaves 13 Citrus, oil 1000 Corn, field, forage 12 Corn, field, grain 0.2 Corn, field, stover 30 Corn, pop, grain 0.2 Corn, pop, stover 30 Corn, sweet, forage 6.0 Corn, sweet, kernel plus cob with husks removed 0.1 Corn, sweet, stover 30...

  6. 40 CFR 180.470 - Acetochlor; tolerances for residues.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... stoichiometric equivalents of acetochlor, in or on the following commodities: Commodity Parts per million Corn, field, forage 4.5 Corn, field, grain 0.05 Corn, field, stover 2.5 Corn, pop, grain 0.05 Corn, pop, stover 2.5 Corn, sweet, forage 1.5 Corn, sweet, kernels plus cob with husks removed 0.05 Corn, sweet...

  7. 40 CFR 180.549 - Diflufenzopyr; tolerances for residues.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... diflufenzopyr, in or on the following raw agricultural commodities: Commodity Parts per million Corn, field, forage 0.05 Corn, field, grain 0.05 Corn, field, stover 0.05 Corn, pop, grain 0.05 Corn, pop, stover 0.05 Corn, sweet, forage 0.05 Corn, sweet, kernel plus cob with husks removed 0.05 Corn, sweet, stover 0.05...

  8. 40 CFR 180.544 - Methoxyfenozide; tolerances for residues.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ....0 Canistel 0.6 Cattle, fat 0.50 Cattle, meat 0.02 Citrus, oil 100 Coriander, leaves 30 Corn, field, forage 15 Corn, field, grain 0.05 Corn, field, refined oil 0.20 Corn, field, stover 125 Corn, pop, grain 0.05 Corn, pop, stover 125 Corn, sweet, forage 30 Corn, sweet, kernel plus cob with husks removed 0...

  9. 40 CFR 180.440 - Tefluthrin; tolerances for residues.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... commodities: Commodity Parts per million Corn, field, forage 0.06 Corn, field, grain 0.06 Corn, field, stover 0.06 Corn, pop, grain 0.06 Corn, pop, stover 0.06 Corn, sweet, forage 0.06 Corn, sweet, kernel plus cob with husks removed 0.06 Corn, sweet, stover 0.06 (b) Section 18 emergency exemptions. [Reserved...

  10. 40 CFR 180.440 - Tefluthrin; tolerances for residues.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... commodities: Commodity Parts per million Corn, field, forage 0.06 Corn, field, grain 0.06 Corn, field, stover 0.06 Corn, pop, grain 0.06 Corn, pop, stover 0.06 Corn, sweet, forage 0.06 Corn, sweet, kernel plus cob with husks removed 0.06 Corn, sweet, stover 0.06 (b) Section 18 emergency exemptions. [Reserved...

  11. 40 CFR 180.470 - Acetochlor; tolerances for residues.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... stoichiometric equivalents of acetochlor, in or on the following commodities: Commodity Parts per million Corn, field, forage 4.5 Corn, field, grain 0.05 Corn, field, stover 2.5 Corn, pop, grain 0.05 Corn, pop, stover 2.5 Corn, sweet, forage 1.5 Corn, sweet, kernels plus cob with husks removed 0.05 Corn, sweet...

  12. 40 CFR 180.486 - Chlorethoxyfos; tolerances for residues.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ...) phosphorothioate, in or on the commodity. Commodity Parts per million Corn, field, forage 0.01 Corn, field, grain 0.01 Corn, field, stover 0.01 Corn, pop, grain 0.01 Corn, pop, stover 0.01 Corn, sweet, forage 0.01 Corn, sweet, kernel plus cob with husks removed 0.01 Corn, sweet, stover 0.01 (b) Section 18 emergency...

  13. 40 CFR 180.440 - Tefluthrin; tolerances for residues.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... commodities: Commodity Parts per million Corn, field, forage 0.06 Corn, field, grain 0.06 Corn, field, stover 0.06 Corn, pop, grain 0.06 Corn, pop, stover 0.06 Corn, sweet, forage 0.06 Corn, sweet, kernel plus cob with husks removed 0.06 Corn, sweet, stover 0.06 (b) Section 18 emergency exemptions. [Reserved...

  14. 40 CFR 180.169 - Carbaryl; tolerances for residues.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... 70 None Corn, field, forage 30 None Corn, field, grain 0.02 None Corn, field, stover 20 None Corn, pop, grain 0.02 None Corn, pop, stover 20 None Corn, sweet, forage 185 None Corn, sweet, kernel plus cob with husks removed 0.1 None Corn, sweet, stover 215 None Cotton, undelinted seed 5.0 10/31/09...

  15. 40 CFR 180.639 - Flubendiamide; tolerances for residues.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... following commodities: Commodity Parts per million Almond, hulls 9.0 Apple, wet pomace 2.0 Corn, field, forage 8.0 Corn, field, grain 0.03 Corn, field, stover 15 Corn, pop, grain 0.02 Corn, pop, stover 15 Corn, sweet, forage 9.0 Corn, sweet, kernel plus cob with husks removed 0.01 Corn, sweet, stover 25 Cotton gin...

  16. 40 CFR 180.253 - Methomyl; tolerances for residues.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... Cabbage, Chinese, bok choy 5 Cabbage, Chinese, napa 5 Cauliflower 2 Celery 3 Collards 6 Corn, field, forage 10 Corn, field, grain 0.1 Corn, field, stover 10 Corn, pop, grain 0.1 Corn, pop, stover 10 Corn, sweet, forage 10 Corn, sweet, kernel plus cob with husks removed 0.1(N) Corn, sweet, stover 10 Cotton...

  17. 40 CFR 180.169 - Carbaryl; tolerances for residues.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... 70 None Corn, field, forage 30 None Corn, field, grain 0.02 None Corn, field, stover 20 None Corn, pop, grain 0.02 None Corn, pop, stover 20 None Corn, sweet, forage 185 None Corn, sweet, kernel plus cob with husks removed 0.1 None Corn, sweet, stover 215 None Cotton, undelinted seed 5.0 10/31/09...

  18. 40 CFR 180.1206 - Aspergillus flavus AF36; exemption from the requirement of a tolerance.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... flavis AF 36 is temporarily exempt from the requirement of a tolerance on corn, field, forage; corn, field, grain; corn, field, stover; corn, pop, grain; corn, pop, stover; corn, sweet, forage; corn, sweet, kernel plus cob with husks removed; corn, sweet, stover when used in accordance with the Experimental Use...

  19. 40 CFR 180.639 - Flubendiamide; tolerances for residues.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... million Almond, hulls 9.0 Apple, wet pomace 5.0 Corn, field, forage 8.0 Corn, field, grain 0.03 Corn, field, stover 15 Corn, pop, grain 0.02 Corn, pop, stover 15 Corn, sweet, forage 9.0 Corn, sweet, kernel plus cob with husks removed 0.01 Corn, sweet, stover 25 Cotton gin byproducts 60 Cotton, undelinted...

  20. 40 CFR 180.469 - Dichlormid; tolerances for residues.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... Parts per million Corn, field, forage 0.05 Corn, field, grain 0.05 Corn, field, stover 0.05 Corn, pop, grain 0.05 Corn, pop, stover 0.05 Corn, sweet, forage 0.05 Corn, sweet, kernel plus cob with husks removed 0.05 Corn, sweet, stover 0.05 (b) Section 18 emergency exemptions. [Reserved] (c) Tolerances with...

  1. 40 CFR 180.639 - Flubendiamide; tolerances for residues.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... following commodities: Commodity Parts per million Almond, hulls 9.0 Apple, wet pomace 2.0 Corn, field, forage 8.0 Corn, field, grain 0.03 Corn, field, stover 15 Corn, pop, grain 0.02 Corn, pop, stover 15 Corn, sweet, forage 9.0 Corn, sweet, kernel plus cob with husks removed 0.01 Corn, sweet, stover 25 Cotton gin...

  2. 40 CFR 180.469 - Dichlormid; tolerances for residues.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... Parts per million Corn, field, forage 0.05 Corn, field, grain 0.05 Corn, field, stover 0.05 Corn, pop, grain 0.05 Corn, pop, stover 0.05 Corn, sweet, forage 0.05 Corn, sweet, kernel plus cob with husks removed 0.05 Corn, sweet, stover 0.05 (b) Section 18 emergency exemptions. [Reserved] (c) Tolerances with...

  3. 40 CFR 180.612 - Topramezone; tolerances for residues.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ...)methanone) in or on the following commodities: Commodity Parts permillion Cattle, meat byproducts 0.80 Corn, field, forage 0.05 Corn, field, grain 0.01 Corn, field, stover 0.05 Corn, pop, grain 0.01 Corn, pop, stover 0.05 Corn, sweet, forage 0.05 Corn, sweet, kernel plus cob with husks removed 0.01 Corn, sweet...

  4. 40 CFR 180.469 - Dichlormid; tolerances for residues.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... Parts per million Corn, field, forage 0.05 Corn, field, grain 0.05 Corn, field, stover 0.05 Corn, pop, grain 0.05 Corn, pop, stover 0.05 Corn, sweet, forage 0.05 Corn, sweet, kernel plus cob with husks removed 0.05 Corn, sweet, stover 0.05 (b) Section 18 emergency exemptions. [Reserved] (c) Tolerances with...

  5. 40 CFR 180.486 - Chlorethoxyfos; tolerances for residues.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ...) phosphorothioate, in or on the commodity. Commodity Parts per million Corn, field, forage 0.01 Corn, field, grain 0.01 Corn, field, stover 0.01 Corn, pop, grain 0.01 Corn, pop, stover 0.01 Corn, sweet, forage 0.01 Corn, sweet, kernel plus cob with husks removed 0.01 Corn, sweet, stover 0.01 (b) Section 18 emergency...

  6. 40 CFR 180.470 - Acetochlor; tolerances for residues.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... stoichiometric equivalents of acetochlor, in or on the following commodities: Commodity Parts per million Corn, field, forage 4.5 Corn, field, grain 0.05 Corn, field, stover 2.5 Corn, pop, grain 0.05 Corn, pop, stover 2.5 Corn, sweet, forage 1.5 Corn, sweet, kernels plus cob with husks removed 0.05 Corn, sweet...

  7. 40 CFR 180.350 - Nitrapyrin; tolerances for residues.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ...-chloropicolinic acid in or on the following raw agricultural commodities: Commodity Parts per million Corn, field, forage 1.0 Corn, field, grain 0.1 Corn, field, milled byproducts 0.2 Corn, field, stover 1.0 Corn, pop, grain 0.1 Corn, pop, stover 1.0 Corn, sweet, forage 1.0 Corn, sweet, kernel plus cob with husks removed...

  8. 40 CFR 180.169 - Carbaryl; tolerances for residues.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... 70 None Corn, field, forage 30 None Corn, field, grain 0.02 None Corn, field, stover 20 None Corn, pop, grain 0.02 None Corn, pop, stover 20 None Corn, sweet, forage 185 None Corn, sweet, kernel plus cob with husks removed 0.1 None Corn, sweet, stover 215 None Cotton, undelinted seed 5.0 10/31/09...

  9. Thermal Properties of Starch From New Corn Lines as Impacted by Environment and During Line Development

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Lenihan, Elizabeth M

    The objectives of this research were to further characterize exotic by adapted corn inbreds by studying the impact of environment on their starch thermal properties, and investigating the development of starch thermal properties during kernel maturation by using differential scanning calorimetry (DSC). A method to expedite identification of unusual starch thermal traits was investigated by examining five corn kernels at a time, instead of one kernel, which the previous screening methods used. Corn lines with known thermal functions were blended with background starch (control) in ratios of unique starch to control starch, and analyzed by using DSC. Control starch wasmore » representative of typical corn starch. The values for each ratio within a mutant type were unique (α < 0.01) for most DSC measurements. These results supported the five-kernel method for rapidly screening large amounts of corn germplasm to identify unusual starch traits. The effects of 5 growing locations on starch thermal properties from exotic by adapted corn and Corn Belt lines were studied using DSC. The warmest location, Missouri, generally produced starch with greater gelatinization onset temperature (T oG), narrower range of gelatinization (R G), and greater enthalpy of gelatinization (ΔH G). The coolest location, Illinois, generally resulted in starch with lower T oG, wider R G, and lower ΔH G. Starch from the Ames 1 farm had thermal properties similar to those of Illinois, whereas starch from the Ames 2 farm had thermal properties similar to those of Missouri. The temperature at Ames 2 may have been warmer since it was located near a river; however, soil type and quality also were different. Final corn starch structure and function change during development and maturity. Thus, the changes in starch thermal properties during 5 stages of endosperm development from exotic by adapted corn and Corn Belt lines at two locations were studied by using DSC. The T oG tended to decrease during maturation of the kernel, whereas theΔH G tended not to change. Retrogradation parameters did not vary greatly among days after pollination (DAP) and between locations. Genotypes were affected differently by environments and significant interactions were found between genotype, environment,and DAP.« less

  10. 40 CFR 180.431 - Clopyralid; tolerances for residues.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... Cattle, meat byproducts, except liver 36.0 Corn, field, forage 3.0 Corn, field, grain 1.0 Corn, field, milled byproducts 1.5 Corn, field, stover 10.0 Corn, pop, grain 1.0 Corn, pop, stover 10.0 Corn, sweet, forage 7.0 Corn, sweet, kernel plus cob with husks removed 1.0 Corn, sweet, stover 10.0 Cranberry 4.0 Egg...

  11. 40 CFR 180.544 - Methoxyfenozide; tolerances for residues.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... Canistel 0.6 Cattle, fat 0.50 Cattle, meat 0.02 Coriander, leaves 30 Corn, field, forage 15 Corn, field, grain 0.05 Corn, field, refined oil 0.20 Corn, field, stover 125 Corn, pop, grain 0.05 Corn, pop, stover 125 Corn, sweet, forage 30 Corn, sweet, kernel plus cob with husks removed 0.05 Corn, sweet, stover 60...

  12. 40 CFR 180.544 - Methoxyfenozide; tolerances for residues.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... 0.6 Cattle, fat 0.50 Cattle, meat 0.02 Cherimoya 0.60 Citrus, oil 100 Corn, field, forage 15 Corn, field, grain 0.05 Corn, field, refined oil 0.20 Corn, field, stover 125 Corn, pop, grain 0.05 Corn, pop, stover 125 Corn, sweet, forage 30 Corn, sweet, kernel plus cob with husks removed 0.05 Corn, sweet...

  13. 40 CFR 180.220 - Atrazine; tolerances for residues.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... Cattle, meat 0.02 Cattle, meat byproducts 0.02 Corn, field, forage 1.5 Corn, field, grain 0.20 Corn, field, stover 0.5 Corn, pop, forage 1.5 Corn, pop, grain 0.20 Corn, pop, stover 0.5 Corn, sweet, forage 15 Corn, sweet, kernel plus cob with husks removed 0.20 Corn, sweet, stover 2.0 Goat, fat 0.02 Goat...

  14. 40 CFR 180.220 - Atrazine; tolerances for residues.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... Cattle, meat 0.02 Cattle, meat byproducts 0.02 Corn, field, forage 1.5 Corn, field, grain 0.20 Corn, field, stover 0.5 Corn, pop, forage 1.5 Corn, pop, grain 0.20 Corn, pop, stover 0.5 Corn, sweet, forage 15 Corn, sweet, kernel plus cob with husks removed 0.20 Corn, sweet, stover 2.0 Goat, fat 0.02 Goat...

  15. 40 CFR 180.220 - Atrazine; tolerances for residues.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... Cattle, meat 0.02 Cattle, meat byproducts 0.02 Corn, field, forage 1.5 Corn, field, grain 0.20 Corn, field, stover 0.5 Corn, pop, forage 1.5 Corn, pop, grain 0.20 Corn, pop, stover 0.5 Corn, sweet, forage 15 Corn, sweet, kernel plus cob with husks removed 0.20 Corn, sweet, stover 2.0 Goat, fat 0.02 Goat...

  16. 40 CFR 180.431 - Clopyralid; tolerances for residues.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... Cattle, meat byproducts, except liver 36.0 Corn, field, forage 3.0 Corn, field, grain 1.0 Corn, field, milled byproducts 1.5 Corn, field, stover 10.0 Corn, pop, grain 1.0 Corn, pop, stover 10.0 Corn, sweet, forage 7.0 Corn, sweet, kernel plus cob with husks removed 1.0 Corn, sweet, stover 10.0 Cranberry 4.0 Egg...

  17. 40 CFR 180.617 - Metconazole; tolerances for residues.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... byproducts 0.04 Corn, field, forage 3.0 Corn, field, grain 0.02 Corn, field, stover 30 Corn, pop, grain 0.02 Corn, pop, stover 30 Corn, sweet, forage 3.0 Corn, sweet, kernel plus cob with husks removed 0.01 Corn... Soybean, hay 6.0 Soybean, hulls 0.08 Soybean, seed 0.05 Sugarcane, cane 0.06 Vegetable, tuberous and corn...

  18. Effects of muffin processing on fumonisins from 14C-labeled toxins produced in cultured corn kernels.

    PubMed

    Avantaggiato, Giuseppina; De La Campa, Regina; Miller, J David; Visconti, Angelo

    2003-10-01

    The persistence of fumonisins during cooking is known to be affected by several factors, including thermal degradation and the presence of various ingredients in corn-based food recipes that can react with the toxin. A method for the production of corn kernels containing 14C-fumonisins was developed. The corn kernels were colonized by Fusarium verticillioides MRC 826 and supplemented with 1,2-14C-sodium acetate. The specific activity of 14C-FB1 produced made the study of its fate in cornmeal muffins possible. The double-extraction acetonitrile-water-methanol/immunoaffinity column/o-phthaldialdehyde high-performance liquid chromatography (HPLC) method was used to determine FB1 levels in cornmeal muffins. Reductions in FB1 levels in muffins spiked with 14C-labeled and unlabeled FB1 (43 and 48%, respectively) were similar, indicating that the extraction method was efficient and consistent with previous reports. However, with the labeled corn kernel material, recovery levels based on the 14C counts for the eluate from an immunoaffinity column were much higher (90%). This finding indicates that some fumonisin-related compounds other than FB1 that were present in the cornmeal were recognized by the antibodies but not by the HPLC method.

  19. Fermentation profile and identification of lactic acid bacteria and yeasts of rehydrated corn kernel silage.

    PubMed

    Carvalho, B F; Ávila, C L S; Bernardes, T F; Pereira, M N; Santos, C; Schwan, R F

    2017-03-01

    The aim of this study was to evaluate the chemical and microbiological characteristics and to identify the lactic acid bacteria (LAB) and yeasts involved in rehydrated corn kernel silage. Four replicates for each fermentation time: 5, 15, 30, 60, 90, 150, 210 and 280 days were prepared. Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry and PCR-based identification were utilized to identify LAB and yeasts. Eighteen bacteria and four yeast species were identified. The bacteria population reached maximum growth after 15 days and moulds were detected up to this time. The highest dry matter (DM) loss was 7·6% after 280 days. The low concentration of water-soluble carbohydrates (20 g kg -1 of DM) was not limiting for fermentation, although the reduction in pH and acid production occurred slowly. Storage of the rehydrated corn kernel silage increased digestibility up to day 280. This silage was dominated by LAB but showed a slow decrease in pH values. This technique of corn storage on farms increased the DM digestibility. This study was the first to evaluate the rehydrated corn kernel silage fermentation dynamics and our findings are relevant to optimization of this silage fermentation. © 2016 The Society for Applied Microbiology.

  20. 40 CFR 180.555 - Trifloxystrobin; tolerances for residues.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... pulp 1.0 Citrus, oil 38 Corn, field, forage 6.0 Corn, field, grain 0.05 Corn, field, stover 7 Corn, field, refined oil 0.1 Corn, pop, grain 0.05 Corn, pop, stover 7 Corn, sweet, cannery waste 0.6 Corn, sweet, forage 7.0 Corn, sweet, kernel plus cob with husks removed 0.04 Corn, sweet, stover 4.0 Egg 0.04...

  1. 40 CFR 180.555 - Trifloxystrobin; tolerances for residues.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... pulp 1.0 Citrus, oil 38 Corn, field, forage 6.0 Corn, field, grain 0.05 Corn, field, stover 7 Corn, field, refined oil 0.1 Corn, pop, grain 0.05 Corn, pop, stover 7 Corn, sweet, cannery waste 0.6 Corn, sweet, forage 7.0 Corn, sweet, kernel plus cob with husks removed 0.04 Corn, sweet, stover 4.0 Egg 0.04...

  2. 40 CFR 180.555 - Trifloxystrobin; tolerances for residues.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... Corn, field, forage 6.0 Corn, field, grain 0.05 Corn, field, stover 7 Corn, field, refined oil 0.1 Corn, pop, grain 0.05 Corn, pop, stover 7 Corn, sweet, cannery waste 0.6 Corn, sweet, forage 7.0 Corn, sweet, kernel plus cob with husks removed 0.04 Corn, sweet, stover 4.0 Egg 0.04 Fruit, citrus, group 10 0.6...

  3. 40 CFR 180.555 - Trifloxystrobin; tolerances for residues.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... Corn, field, forage 6.0 Corn, field, grain 0.05 Corn, field, stover 7 Corn, field, refined oil 0.1 Corn, pop, grain 0.05 Corn, pop, stover 7 Corn, sweet, cannery waste 0.6 Corn, sweet, forage 7.0 Corn, sweet, kernel plus cob with husks removed 0.04 Corn, sweet, stover 4.0 Egg 0.04 Fruit, citrus, group 10 0.6...

  4. 40 CFR 180.515 - Carfentrazone-ethyl; tolerances for residues.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ..., green 0.10 Corn, field, forage 0.20 Corn, sweet, forage 0.20 Corn, sweet, kernel plus cob with husk....8 Grain, cereal, forage, fodder and straw group 16, except corn and sorghum; forage 1.0 Grain...

  5. 40 CFR 180.515 - Carfentrazone-ethyl; tolerances for residues.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ..., green 0.10 Corn, field, forage 0.20 Corn, sweet, forage 0.20 Corn, sweet, kernel plus cob with husk....8 Grain, cereal, forage, fodder and straw group 16, except corn and sorghum; forage 1.0 Grain...

  6. 40 CFR 180.232 - Butylate; tolerances for residues.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... on the following food commodities: Commodity Parts per million Corn, field, forage 0.1 Corn, field, grain 0.1 Corn, field, stover 0.1 Corn, pop, forage 0.1 Corn, pop, grain 0.1 Corn, sweet, forage 0.1 Corn, sweet, kernel plus cob with husks removed 0.1 (b) Section 18 emergency exemptions. [Reserved] (c...

  7. 40 CFR 180.258 - Ametryn; tolerances for residues.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... agricultural commodities: Commodity Parts per million Expiration/Revocation Date Banana 0.25 6/16/10 Corn, field, forage 0.1 None Corn, field, grain 0.05 None Corn, field, stover 0.05 None Corn, pop, grain 0.05 None Corn, pop, stover 0.05 None Corn, sweet, forage 0.5 6/16/10 Corn, sweet, kernel plus cob with...

  8. 40 CFR 180.258 - Ametryn; tolerances for residues.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... agricultural commodities: Commodity Parts per million Expiration/Revocation Date Banana 0.25 6/16/10 Corn, field, forage 0.1 None Corn, field, grain 0.05 None Corn, field, stover 0.05 None Corn, pop, grain 0.05 None Corn, pop, stover 0.05 None Corn, sweet, forage 0.5 6/16/10 Corn, sweet, kernel plus cob with...

  9. 40 CFR 180.258 - Ametryn; tolerances for residues.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... agricultural commodities: Commodity Parts per million Expiration/Revocation Date Banana 0.25 6/16/10 Corn, field, forage 0.1 None Corn, field, grain 0.05 None Corn, field, stover 0.05 None Corn, pop, grain 0.05 None Corn, pop, stover 0.05 None Corn, sweet, forage 0.5 6/16/10 Corn, sweet, kernel plus cob with...

  10. 40 CFR 180.258 - Ametryn; tolerances for residues.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... agricultural commodities: Commodity Parts per million Expiration/Revocation Date Banana 0.25 6/16/10 Corn, field, forage 0.1 None Corn, field, grain 0.05 None Corn, field, stover 0.05 None Corn, pop, grain 0.05 None Corn, pop, stover 0.05 None Corn, sweet, forage 0.5 6/16/10 Corn, sweet, kernel plus cob with...

  11. 40 CFR 180.258 - Ametryn; tolerances for residues.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... agricultural commodities: Commodity Parts per million Expiration/Revocation Date Banana 0.25 6/16/10 Corn, field, forage 0.1 None Corn, field, grain 0.05 None Corn, field, stover 0.05 None Corn, pop, grain 0.05 None Corn, pop, stover 0.05 None Corn, sweet, forage 0.5 6/16/10 Corn, sweet, kernel plus cob with...

  12. 40 CFR 180.645 - Thiencarbazone-methyl; tolerances for residues.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... food and feed commodities: Commodity Parts per million Corn, field, forage 0.04 Corn, field, grain 0.01 Corn, field, stover 0.02 Corn, pop, grain 0.01 Corn, pop, stover 0.01 Corn, sweet, forage 0.05 Corn, sweet, kernel plus cob with husks removed 0.01 Corn, sweet, stover 0.05 Wheat, forage 0.10 Wheat, grain...

  13. 40 CFR 180.612 - Topramezone; tolerances for residues.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... Parts per million Cattle, kidney 0.05 Cattle, liver 0.15 Corn, field, forage 0.05 Corn, field, grain 0.01 Corn, field, stover 0.05 Corn, pop, grain 0.01 Corn, pop, stover 0.05 Corn, sweet, forage 0.05 Corn, sweet, kernel plus cob with husks removed 0.01 Corn, sweet, stover 0.05 Goat, kidney 0.05 Goat...

  14. 40 CFR 180.378 - Permethrin; tolerances for residues.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... byproducts 0.10 Cauliflower 0.5 Cherry, sweet 4.0 Cherry, tart 4.0 Corn, field, forage 50 Corn, field, grain 0.05 Corn, field, stover 30 Corn, pop, grain 0.05 Corn, pop, stover 30 Corn, sweet, forage 50 Corn, sweet, kernel plus cob with husks removed 0.10 Corn, sweet, stover 30 Egg 0.10 Eggplant 0.50 Fruit, pome...

  15. 40 CFR 180.464 - Dimethenamid; tolerances for residues.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ..., sugar, dried pulp 0.01 Beet, sugar, molasses 0.01 Beet, sugar, roots 0.01 Beet, sugar, tops 0.01 Corn, field, forage 0.01 Corn, field, grain 0.01 Corn, field, stover 0.01 Corn, pop, forage 0.01 Corn, pop, grain 0.01 Corn, pop, stover 0.01 Corn, sweet, forage 0.01 Corn, sweet, kernel plus cob with husks...

  16. 40 CFR 180.571 - Mesotrione; tolerances for residues.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... agricultural commodities: Commodity Parts per million Asparagus 0.01 Berry, group 13 0.01 Corn, field, forage 0.01 Corn, field, grain 0.01 Corn, field, stover 0.01 Corn, pop, grain 0.01 Corn, pop, stover 0.01 Corn, sweet, forage 0.5 Corn, sweet, kernel plus cob with husks removed 0.01 Corn, sweet, stover 1.5 Cranberry...

  17. 40 CFR 180.213 - Simazine; tolerances for residues.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... Cherry 0.25 Corn, field, forage 0.20 Corn, field, grain 0.20 Corn, field, stover 0.25 Corn, pop, grain 0.20 Corn, pop, stover 0.25 Corn, sweet, forage 0.20 Corn, sweet, kernel plus cob with husks removed 0.25 Corn, sweet, stover 0.25 Cranberry 0.25 Currant 0.25 Egg 0.03 Goat, meat 0.03 Goat, meat...

  18. 40 CFR 180.571 - Mesotrione; tolerances for residues.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... agricultural commodities: Commodity Parts per million Asparagus 0.01 Berry, group 13 0.01 Corn, field, forage 0.01 Corn, field, grain 0.01 Corn, field, stover 0.01 Corn, pop, grain 0.01 Corn, pop, stover 0.01 Corn, sweet, forage 0.5 Corn, sweet, kernel plus cob with husks removed 0.01 Corn, sweet, stover 1.5 Cranberry...

  19. 40 CFR 180.470 - Acetochlor; tolerances for residues.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ..., sugar, dried pulp 0.50 Beet, sugar, molasses 0.80 Beet, sugar, roots 0.30 Beet, sugar, tops 0.70 Corn, field, forage 4.5 Corn, field, grain 0.05 Corn, field, stover 2.5 Corn, pop, grain 0.05 Corn, pop, stover 2.5 Corn, sweet, forage 1.5 Corn, sweet, kernels plus cob with husks removed 0.05 Corn, sweet...

  20. 40 CFR 180.378 - Permethrin; tolerances for residues.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... byproducts 0.10 Cauliflower 0.5 Cherry, sweet 4.0 Cherry, tart 4.0 Corn, field, forage 50 Corn, field, grain 0.05 Corn, field, stover 30 Corn, pop, grain 0.05 Corn, pop, stover 30 Corn, sweet, forage 50 Corn, sweet, kernel plus cob with husks removed 0.10 Corn, sweet, stover 30 Egg 0.10 Eggplant 0.50 Fruit, pome...

  1. 40 CFR 180.612 - Topramezone; tolerances for residues.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... Parts per million Cattle, kidney 0.05 Cattle, liver 0.15 Corn, field, forage 0.05 Corn, field, grain 0.01 Corn, field, stover 0.05 Corn, pop, grain 0.01 Corn, pop, stover 0.05 Corn, sweet, forage 0.05 Corn, sweet, kernel plus cob with husks removed 0.01 Corn, sweet, stover 0.05 Goat, kidney 0.05 Goat...

  2. 40 CFR 180.645 - Thiencarbazone-methyl; tolerances for residues.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... food and feed commodities: Commodity Parts per million Corn, field, forage 0.04 Corn, field, grain 0.01 Corn, field, stover 0.02 Corn, pop, grain 0.01 Corn, pop, stover 0.01 Corn, sweet, forage 0.05 Corn, sweet, kernel plus cob with husks removed 0.01 Corn, sweet, stover 0.05 Wheat, forage 0.10 Wheat, grain...

  3. 40 CFR 180.645 - Thiencarbazone-methyl; tolerances for residues.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... food and feed commodities: Commodity Parts per million Corn, field, forage 0.04 Corn, field, grain 0.01 Corn, field, stover 0.02 Corn, pop, grain 0.01 Corn, pop, stover 0.01 Corn, sweet, forage 0.05 Corn, sweet, kernel plus cob with husks removed 0.01 Corn, sweet, stover 0.05 Wheat, forage 0.10 Wheat, grain...

  4. 40 CFR 180.142 - 2,4-D; tolerances for residues.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ....3 Cattle, meat byproducts, except kidney 0.3 Corn, field, forage 6.0 Corn, field, grain 0.05 Corn, field, stover 50 Corn, pop, grain 0.05 Corn, pop, stover 50 Corn, sweet, forage 6.0 Corn, sweet, kernel plus cob with husks removed 0.05 Corn, sweet, stover 50 Cranberry 0.5 Fish 0.1 Fruit, citrus, group 10...

  5. 40 CFR 180.565 - Thiamethoxam; tolerances for residues.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ..., meat 0.02 Cattle, meat byproducts 0.04 Citrus, dried pulp 0.60 ppm Coffee, bean, green 1 0.05 Corn, field, forage 0.10 Corn, field, grain 0.020 Corn, field, stover 0.05 Corn, pop, forage 0.10 Corn, pop, grain 0.02 Corn, pop, stover 0.05 Corn, sweet, forage 0.10 Corn, sweet, kernel plus cob with husks...

  6. 40 CFR 180.262 - Ethoprop; tolerances for residues.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... Cabbage 0.02 Corn, field, forage 0.02 Corn, field, grain 0.02 Corn, field, stover 0.02 Corn, pop, grain 0.02 Corn, pop, stover 0.02 Corn, sweet, forage 0.02 Corn, sweet, kernel plus cob with husks removed 0.02 Corn, sweet, stover 0.02 Cucumber 0.02 Hop, dried cones 0.02 Peppermint, tops 0.02 Pineapple 0.02...

  7. 40 CFR 180.629 - Flutriafol; tolerances for residues.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... commodities: Commodity Parts per million Corn, sweet, forage 0.09 Corn, sweet, kernel plus cob with husk... Cattle, meat byproducts 0.07 Corn, field, forage 0.75 Corn, field, grain 0.01 Corn, field, refined oil 0.02 Corn, field, stover 1.5 Corn, pop 0.01 Corn, pop, stover 1.5 Fruit, pome, group 11-09 0.40 Fruit...

  8. 40 CFR 180.431 - Clopyralid; tolerances for residues.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... Cattle, fat 1.0 Cattle, liver 3.0 Cattle, meat 1.0 Cattle, meat byproducts, except liver 36.0 Corn, field, forage 3.0 Corn, field, grain 1.0 Corn, field, milled byproducts 1.5 Corn, field, stover 10.0 Corn, pop, grain 1.0 Corn, pop, stover 10.0 Corn, sweet, forage 7.0 Corn, sweet, kernel plus cob with husks removed...

  9. 40 CFR 180.378 - Permethrin; tolerances for residues.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... byproducts 0.10 Cauliflower 0.5 Cherry, sweet 4.0 Cherry, tart 4.0 Corn, field, forage 50 Corn, field, grain 0.05 Corn, field, stover 30 Corn, pop, grain 0.05 Corn, pop, stover 30 Corn, sweet, forage 50 Corn, sweet, kernel plus cob with husks removed 0.10 Corn, sweet, stover 30 Egg 0.10 Eggplant 0.50 Fruit, pome...

  10. 40 CFR 180.629 - Flutriafol; tolerances for residues.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ...)-1H-1,2,4-triazole-1-ethanol) in or on the following commodities: Commodity Parts per million Corn, field, forage 0.09 Corn, field, grain 0.01 Corn, field, refined oil 0.02 Corn, field, stover 0.07 Corn, pop 0.01 Corn, pop, stover 0.07 Corn, sweet, forage 0.09 Corn, sweet, kernel plus cob with husk...

  11. 40 CFR 180.434 - Propiconazole; tolerances for residues.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ..., leaves 13 Citrus, oil 1000 Corn, field, forage 12 Corn, field, grain 0.2 Corn, field, stover 30 Corn, pop, grain 0.2 Corn, pop, stover 30 Corn, sweet, forage 6.0 Corn, sweet, kernel plus cob with husks removed 0.1 Corn, sweet, stover 30 Fruit, citrus, group 10-10 8.0 Fruit, stone, group 12, except plum 4.0 Goat...

  12. 40 CFR 180.464 - Dimethenamid; tolerances for residues.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ..., sugar, dried pulp 0.01 Beet, sugar, molasses 0.01 Beet, sugar, roots 0.01 Beet, sugar, tops 0.01 Corn, field, forage 0.01 Corn, field, grain 0.01 Corn, field, stover 0.01 Corn, pop, forage 0.01 Corn, pop, grain 0.01 Corn, pop, stover 0.01 Corn, sweet, forage 0.01 Corn, sweet, kernel plus cob with husks...

  13. 40 CFR 180.213 - Simazine; tolerances for residues.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... Cherry 0.25 Corn, field, forage 0.20 Corn, field, grain 0.20 Corn, field, stover 0.25 Corn, pop, grain 0.20 Corn, pop, stover 0.25 Corn, sweet, forage 0.20 Corn, sweet, kernel plus cob with husks removed 0.25 Corn, sweet, stover 0.25 Cranberry 0.25 Currant 0.25 Egg 0.03 Goat, meat 0.03 Goat, meat...

  14. 40 CFR 180.434 - Propiconazole; tolerances for residues.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ..., leaves 13 Citrus, oil 1000 Corn, field, forage 12 Corn, field, grain 0.2 Corn, field, stover 30 Corn, pop, grain 0.2 Corn, pop, stover 30 Corn, sweet, forage 6.0 Corn, sweet, kernel plus cob with husks removed 0.1 Corn, sweet, stover 30 Fruit, citrus, group 10-10 8.0 Fruit, stone, group 12, except plum 4.0 Goat...

  15. 40 CFR 180.142 - 2,4-D; tolerances for residues.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ....3 Cattle, meat byproducts, except kidney 0.3 Corn, field, forage 6.0 Corn, field, grain 0.05 Corn, field, stover 50 Corn, pop, grain 0.05 Corn, pop, stover 50 Corn, sweet, forage 6.0 Corn, sweet, kernel plus cob with husks removed 0.05 Corn, sweet, stover 50 Cranberry 0.5 Fish 0.1 Fruit, citrus, group 10...

  16. 40 CFR 180.645 - Thiencarbazone-methyl; tolerances for residues.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... food and feed commodities: Commodity Parts per million Corn, field, forage 0.04 Corn, field, grain 0.01 Corn, field, stover 0.02 Corn, pop, grain 0.01 Corn, pop, stover 0.01 Corn, sweet, forage 0.05 Corn, sweet, kernel plus cob with husks removed 0.01 Corn, sweet, stover 0.05 Wheat, forage 0.10 Wheat, grain...

  17. 40 CFR 180.464 - Dimethenamid; tolerances for residues.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ..., sugar, dried pulp 0.01 Beet, sugar, molasses 0.01 Beet, sugar, roots 0.01 Beet, sugar, tops 0.01 Corn, field, forage 0.01 Corn, field, grain 0.01 Corn, field, stover 0.01 Corn, pop, forage 0.01 Corn, pop, grain 0.01 Corn, pop, stover 0.01 Corn, sweet, forage 0.01 Corn, sweet, kernel plus cob with husks...

  18. 40 CFR 180.571 - Mesotrione; tolerances for residues.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... agricultural commodities: Commodity Parts per million Asparagus 0.01 Berry, group 13 0.01 Corn, field, forage 0.01 Corn, field, grain 0.01 Corn, field, stover 0.01 Corn, pop, grain 0.01 Corn, pop, stover 0.01 Corn, sweet, forage 0.5 Corn, sweet, kernel plus cob with husks removed 0.01 Corn, sweet, stover 1.5 Cranberry...

  19. 40 CFR 180.571 - Mesotrione; tolerances for residues.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... agricultural commodities: Commodity Parts per million Asparagus 0.01 Berry, group 13 0.01 Corn, field, forage 0.01 Corn, field, grain 0.01 Corn, field, stover 0.01 Corn, pop, grain 0.01 Corn, pop, stover 0.01 Corn, sweet, forage 0.5 Corn, sweet, kernel plus cob with husks removed 0.01 Corn, sweet, stover 1.5 Cranberry...

  20. 40 CFR 180.142 - 2,4-D; tolerances for residues.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ....3 Cattle, meat byproducts, except kidney 0.3 Corn, field, forage 6.0 Corn, field, grain 0.05 Corn, field, stover 50 Corn, pop, grain 0.05 Corn, pop, stover 50 Corn, sweet, forage 6.0 Corn, sweet, kernel plus cob with husks removed 0.05 Corn, sweet, stover 50 Cranberry 0.5 Fish 0.1 Fruit, citrus, group 10...

  1. 40 CFR 180.431 - Clopyralid; tolerances for residues.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... Cattle, fat 1.0 Cattle, liver 3.0 Cattle, meat 1.0 Cattle, meat byproducts, except liver 36.0 Corn, field, forage 3.0 Corn, field, grain 1.0 Corn, field, milled byproducts 1.5 Corn, field, stover 10.0 Corn, pop, grain 1.0 Corn, pop, stover 10.0 Corn, sweet, forage 7.0 Corn, sweet, kernel plus cob with husks removed...

  2. 40 CFR 180.431 - Clopyralid; tolerances for residues.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... Cattle, fat 1.0 Cattle, liver 3.0 Cattle, meat 1.0 Cattle, meat byproducts, except liver 36.0 Corn, field, forage 3.0 Corn, field, grain 1.0 Corn, field, milled byproducts 1.5 Corn, field, stover 10.0 Corn, pop, grain 1.0 Corn, pop, stover 10.0 Corn, sweet, forage 7.0 Corn, sweet, kernel plus cob with husks removed...

  3. 40 CFR 180.213 - Simazine; tolerances for residues.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... Cherry 0.25 Corn, field, forage 0.20 Corn, field, grain 0.20 Corn, field, stover 0.25 Corn, pop, grain 0.20 Corn, pop, stover 0.25 Corn, sweet, forage 0.20 Corn, sweet, kernel plus cob with husks removed 0.25 Corn, sweet, stover 0.25 Cranberry 0.25 Currant 0.25 Egg 0.03 Goat, meat 0.03 Goat, meat...

  4. 40 CFR 180.213 - Simazine; tolerances for residues.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... Cherry 0.25 Corn, field, forage 0.20 Corn, field, grain 0.20 Corn, field, stover 0.25 Corn, pop, grain 0.20 Corn, pop, stover 0.25 Corn, sweet, forage 0.20 Corn, sweet, kernel plus cob with husks removed 0.25 Corn, sweet, stover 0.25 Cranberry 0.25 Currant 0.25 Egg 0.03 Goat, meat 0.03 Goat, meat...

  5. Fomation of corn fiber gum-milk protein conjugates and their molecular characterization

    USDA-ARS?s Scientific Manuscript database

    Corn fiber arabinoxylan is hemicellulose B isolated from the fibrous portions (pericarp, tip cap, and endosperm cell wall fractions) of corn kernels and is commonly referred to as corn fiber gum (CFG). Our previous studies showed that CFG isolated from corn bran (a byproduct of corn dry milling) co...

  6. 40 CFR 180.609 - Fluoxastrobin; tolerances for residues.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... of fluoxastrobin. Commodity Parts per million Berry, low growing, subgroup 13-07G 1.9 Corn, field, forage 3.0 Corn, field, grain 0.02 Corn, field, stover 4.5 Corn, sweet, forage 13 Corn, sweet, kernel plus cob with husks removed 0.01 Corn, sweet, stover 10 Grain, aspirated grain fractions 60 Leaf...

  7. 40 CFR 180.609 - Fluoxastrobin; tolerances for residues.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... of fluoxastrobin. Commodity Parts per million Berry, low growing, subgroup 13-07G 1.9 Corn, field, forage 3.0 Corn, field, grain 0.02 Corn, field, stover 4.5 Corn, sweet, forage 13 Corn, sweet, kernel plus cob with husks removed 0.01 Corn, sweet, stover 10 Grain, aspirated grain fractions 60 Leaf...

  8. 40 CFR 180.609 - Fluoxastrobin; tolerances for residues.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... of fluoxastrobin. Commodity Parts per million Berry, low growing, subgroup 13-07G 1.9 Corn, field, forage 3.0 Corn, field, grain 0.02 Corn, field, stover 4.5 Corn, sweet, forage 13 Corn, sweet, kernel plus cob with husks removed 0.01 Corn, sweet, stover 10 Grain, aspirated grain fractions 60 Leaf...

  9. 40 CFR 180.609 - Fluoxastrobin; tolerances for residues.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... of fluoxastrobin. Commodity Parts per million Berry, low growing, subgroup 13-07G 1.9 Corn, field, forage 3.0 Corn, field, grain 0.02 Corn, field, stover 4.5 Corn, sweet, forage 13 Corn, sweet, kernel plus cob with husks removed 0.01 Corn, sweet, stover 10 Grain, aspirated grain fractions 60 Leaf...

  10. 7 CFR 810.401 - Definition of corn.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... 7 Agriculture 7 2011-01-01 2011-01-01 false Definition of corn. 810.401 Section 810.401... GRAIN United States Standards for Corn Terms Defined § 810.401 Definition of corn. Grain that consists of 50 percent or more of whole kernels of shelled dent corn and/or shelled flint corn (Zea mays L...

  11. 7 CFR 810.401 - Definition of corn.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... 7 Agriculture 7 2010-01-01 2010-01-01 false Definition of corn. 810.401 Section 810.401... GRAIN United States Standards for Corn Terms Defined § 810.401 Definition of corn. Grain that consists of 50 percent or more of whole kernels of shelled dent corn and/or shelled flint corn (Zea mays L...

  12. 40 CFR 180.582 - Pyraclostrobin; tolerances for residues.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... 12.5 Citrus, oil 9.0 Coffee, bean, green 0.31 Corn, field, forage 5.0 Corn, field, grain 0.1 Corn, field, refined oil 0.2 Corn, field, stover 17.0 Corn, pop, grain 0.1 Corn, pop, stover 17.0 Corn, sweet, forage 5.0 Corn, sweet, kernel plus cob with husks removed 0.04 Corn, sweet, stover 23.0 Cotton, gin...

  13. 40 CFR 180.617 - Metconazole; tolerances for residues.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... byproducts 0.04 Corn, field, forage 3.0 Corn, field, grain 0.02 Corn, field, stover 4.5 Corn, pop, grain 0.02 Corn, pop, stover 4.5 Corn, sweet, forage 3.0 Corn, sweet, kernel plus cob with husks removed 0.01 Corn... Soybean, hay 6.0 Soybean, hulls 0.08 Soybean, seed 0.05 Sugarcane, cane 0.06 Vegetable, tuberous and corn...

  14. 40 CFR 180.220 - Atrazine; tolerances for residues.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... Cattle, meat 0.02 Cattle, meat byproducts 0.02 Corn, field, forage 15 Corn, field, grain 0.20 Corn, field, stover 0.5 Corn, pop, forage 1.5 Corn, pop, grain 0.20 Corn, pop, stover 0.5 Corn, sweet, forage 15 Corn, sweet, kernel plus cob with husks removed 0.20 Corn, sweet, stover 2.0 Goat, fat 0.02 Goat, meat 0.02...

  15. 40 CFR 180.582 - Pyraclostrobin; tolerances for residues.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... 12.5 Citrus, oil 9.0 Coffee, bean, green 0.31 Corn, field, forage 5.0 Corn, field, grain 0.1 Corn, field, refined oil 0.2 Corn, field, stover 17.0 Corn, pop, grain 0.1 Corn, pop, stover 17.0 Corn, sweet, forage 5.0 Corn, sweet, kernel plus cob with husks removed 0.04 Corn, sweet, stover 23.0 Cotton, gin...

  16. 40 CFR 180.220 - Atrazine; tolerances for residues.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... Cattle, meat 0.02 Cattle, meat byproducts 0.02 Corn, field, forage 15 Corn, field, grain 0.20 Corn, field, stover 0.5 Corn, pop, forage 1.5 Corn, pop, grain 0.20 Corn, pop, stover 0.5 Corn, sweet, forage 15 Corn, sweet, kernel plus cob with husks removed 0.20 Corn, sweet, stover 2.0 Goat, fat 0.02 Goat, meat 0.02...

  17. 40 CFR 180.617 - Metconazole; tolerances for residues.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... byproducts 0.04 Corn, field, forage 3.0 Corn, field, grain 0.02 Corn, field, stover 4.5 Corn, pop, grain 0.02 Corn, pop, stover 4.5 Corn, sweet, forage 3.0 Corn, sweet, kernel plus cob with husks removed 0.01 Corn... Soybean, hay 6.0 Soybean, hulls 0.08 Soybean, seed 0.05 Sugarcane, cane 0.06 Vegetable, tuberous and corn...

  18. Evaluation of corn germplasm lines for multiple ear-colonizing insect and disease resistance.

    PubMed

    Ni, Xinzhi; Xu, Wenwei; Blanco, Michael H; Wilson, Jeffrey P

    2012-08-01

    Ear-colonizing insects and diseases that reduce yield and impose health threats by mycotoxin contaminations in the grain, are critical impediments for corn (Zea mays L.) production in the southern United States. Ten germplasm lines from the Germplasm Enhancement of Maize (GEM) Program in Ames, IA, and Raleigh, NC, and 10 lines (derived from GEM germplasm) from the Texas Agricultural Experiment Station in Lubbock, TX, were examined in 2007 and 2008 with local resistant and susceptible controls. Four types of insect damage and smut disease (Ustilago maydis) infection, as well as gene X environment (G X E) interaction, was assessed on corn ears under field conditions. Insect damage on corn ears was further separated as cob and kernel damage. Cob penetration rating was used to assess corn earworm [Helicoverpa zea (Boddie)] and fall armyworm [Spodoptera frugiperda (J.E. Smith)] feeding on corn cobs, whereas kernel damage was assessed using three parameters: 1) percentage of kernels discolored by stink bugs (i.e., brown stink bug [Euschistus serous (Say)], southern green stink bug [Nezara viridula (L.)], and green stink bug [Chinavia (Acrosternum) hilare (Say)]; 2) percentage of maize weevil (Sitophilus zeamais Motschulsky)-damaged kernels; and 3) percentage of kernels damaged by sap beetle (Carpophilus spp.), "chocolate milkworm" (Moodna spp.), and pink scavenger caterpillar [Pyroderces (Anatrachyntis) rileyi (Walsingham)]. The smut infection rates on ears, tassels, and nodes also were assessed. Ear protection traits (i.e., husk tightness and extension) in relation to insect damage and smut infection also were examined. Significant differences in insect damage, smut infection, and husk protection traits were detected among the germplasm lines. Three of the 20 germplasm lines were identified as being multiple insect and smut resistant. Of the three lines, entries 5 and 7 were derived from DKXL370, which was developed using corn germplasm from Brazil, whereas entry 14 was derived from CUBA117.

  19. 40 CFR 180.438 - Lambda-cyhalothrin and an isomer gamma-cyhalothrin; tolerances for residues.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... Corn, pop, grain 0.05 Corn, pop, stover 1.0 Corn, sweet, forage 6.0 Corn, sweet, kernel plus cob with..., seed 1.0 Cattle, fat 3.0 Cattle, meat 0.2 Cattle, meat byproducts 0.2 Corn, field, flour 0.15 Corn, field, forage 6.0 Corn, field, grain 0.05 Corn, field, stover 1.0 Corn, pop, grain 0.05 Corn, pop, grain...

  20. 40 CFR 180.438 - Lambda-cyhalothrin and an isomer gamma-cyhalothrin; tolerances for residues.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... Corn, pop, grain 0.05 Corn, pop, stover 1.0 Corn, sweet, forage 6.0 Corn, sweet, kernel plus cob with..., seed 1.0 Cattle, fat 3.0 Cattle, meat 0.2 Cattle, meat byproducts 0.2 Corn, field, flour 0.15 Corn, field, forage 6.0 Corn, field, grain 0.05 Corn, field, stover 1.0 Corn, pop, grain 0.05 Corn, pop, grain...

  1. 40 CFR 180.438 - Lambda-cyhalothrin and an isomer gamma-cyhalothrin; tolerances for residues.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... Corn, pop, grain 0.05 Corn, pop, stover 1.0 Corn, sweet, forage 6.0 Corn, sweet, kernel plus cob with..., seed 1.0 Cattle, fat 3.0 Cattle, meat 0.2 Cattle, meat byproducts 0.2 Corn, field, flour 0.15 Corn, field, forage 6.0 Corn, field, grain 0.05 Corn, field, stover 1.0 Corn, pop, grain 0.05 Corn, pop, grain...

  2. 40 CFR 180.121 - Methyl parathion; tolerances for residues.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    .../13 Corn, field, forage 1.0 12/31/13 Corn, field, grain 1.0 12/31/13 Corn, pop, grain 1.0 12/31/13 Corn, sweet, forage 1.0 12/31/13 Corn, sweet, kernel plus cob with husks removed 1.0 12/31/13 Cotton...

  3. 40 CFR 180.121 - Methyl parathion; tolerances for residues.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    .../13 Corn, field, forage 1.0 12/31/13 Corn, field, grain 1.0 12/31/13 Corn, pop, grain 1.0 12/31/13 Corn, sweet, forage 1.0 12/31/13 Corn, sweet, kernel plus cob with husks removed 1.0 12/31/13 Cotton...

  4. 40 CFR 180.121 - Methyl parathion; tolerances for residues.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    .../13 Corn, field, forage 1.0 12/31/13 Corn, field, grain 1.0 12/31/13 Corn, pop, grain 1.0 12/31/13 Corn, sweet, forage 1.0 12/31/13 Corn, sweet, kernel plus cob with husks removed 1.0 12/31/13 Cotton...

  5. 40 CFR 180.301 - Carboxin; tolerances for residues.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... Cattle, fat 0.05 Cattle, meat byproducts 0.1 Cattle, meat 0.05 Corn, field, forage 0.2 Corn, field, grain 0.2 Corn, field, stover 0.2 Corn, pop, grain 0.2 Corn, pop, stover 0.2 Corn, sweet, forage 0.2 Corn, sweet, kernel plus cob with husks removed 0.2 Corn, sweet, stover 0.2 Cotton, undelinted seed 0.2 Egg 0...

  6. 40 CFR 180.418 - Cypermethrin and an isomer zeta-cypermethrin; tolerances for residues.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... 10 Citrus, dried pulp 1.8 Citrus, oil 4.0 Corn, field, forage 0.20 Corn, field, grain 0.05 Corn, field, stover 3.00 Corn, pop, grain 0.05 Corn, pop, stover 3.00 Corn, sweet, forage 15.00 Corn, sweet, kernel plus cob with husks removed 0.05 Corn, sweet, stover 15.00 Cotton, undelinted seed 0.5 Crambe...

  7. 40 CFR 180.418 - Cypermethrin and an isomer zeta-cypermethrin; tolerances for residues.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... 10 Citrus, dried pulp 1.8 Citrus, oil 4.0 Corn, field, forage 0.20 Corn, field, grain 0.05 Corn, field, stover 3.00 Corn, pop, grain 0.05 Corn, pop, stover 3.00 Corn, sweet, forage 15.00 Corn, sweet, kernel plus cob with husks removed 0.05 Corn, sweet, stover 15.00 Cotton, undelinted seed 0.5 Crambe...

  8. 40 CFR 180.352 - Terbufos; tolerances for residues.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... million Banana 0.025 Beet, sugar, roots 0.05 Beet, sugar, tops 0.1 Coffee, green bean 1 0.05 Corn, field, forage 0.5 Corn, field, grain 0.5 Corn, field, stover 0.5 Corn, pop, grain 0.5 Corn, pop, stover 0.5 Corn, sweet, kernel plus cob with husks removed 0.05 Corn, sweet, forage 0.5 Corn, sweet, stover 0.5 Sorghum...

  9. 40 CFR 180.352 - Terbufos; tolerances for residues.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... million Banana 0.025 Beet, sugar, roots 0.05 Beet, sugar, tops 0.1 Coffee, green bean 1 0.05 Corn, field, forage 0.5 Corn, field, grain 0.5 Corn, field, stover 0.5 Corn, pop, grain 0.5 Corn, pop, stover 0.5 Corn, sweet, kernel plus cob with husks removed 0.05 Corn, sweet, forage 0.5 Corn, sweet, stover 0.5 Sorghum...

  10. 40 CFR 180.352 - Terbufos; tolerances for residues.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... million Banana 0.025 Beet, sugar, roots 0.05 Beet, sugar, tops 0.1 Coffee, green bean 1 0.05 Corn, field, forage 0.5 Corn, field, grain 0.5 Corn, field, stover 0.5 Corn, pop, grain 0.5 Corn, pop, stover 0.5 Corn, sweet, kernel plus cob with husks removed 0.05 Corn, sweet, forage 0.5 Corn, sweet, stover 0.5 Sorghum...

  11. 40 CFR 180.352 - Terbufos; tolerances for residues.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... million Banana 0.025 Beet, sugar, roots 0.05 Beet, sugar, tops 0.1 Coffee, green bean 1 0.05 Corn, field, forage 0.5 Corn, field, grain 0.5 Corn, field, stover 0.5 Corn, pop, grain 0.5 Corn, pop, stover 0.5 Corn, sweet, kernel plus cob with husks removed 0.05 Corn, sweet, forage 0.5 Corn, sweet, stover 0.5 Sorghum...

  12. 40 CFR 180.301 - Carboxin; tolerances for residues.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... Cattle, fat 0.05 Cattle, meat byproducts 0.1 Cattle, meat 0.05 Corn, field, forage 0.2 Corn, field, grain 0.2 Corn, field, stover 0.2 Corn, pop, grain 0.2 Corn, pop, stover 0.2 Corn, sweet, forage 0.2 Corn, sweet, kernel plus cob with husks removed 0.2 Corn, sweet, stover 0.2 Cotton, undelinted seed 0.2 Egg 0...

  13. 40 CFR 180.533 - Esfenvalerate; tolerances for residues.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... Cauliflower 0.5 Collards 3.0 Corn, field, forage 15.0 Corn, field, grain 0.02 Corn, field, stover 15.0 Corn, pop, grain 0.02 Corn, pop, stover 15.0 Corn, sweet, forage 15.0 Corn, sweet, kernel plus cob with husks removed 0.1 Corn, sweet, stover 15.0 Cotton, undelinted seed 0.2 Cucumber 0.5 Egg 0.03 Eggplant 0...

  14. 40 CFR 180.533 - Esfenvalerate; tolerances for residues.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... Cauliflower 0.5 Collards 3.0 Corn, field, forage 15.0 Corn, field, grain 0.02 Corn, field, stover 15.0 Corn, pop, grain 0.02 Corn, pop, stover 15.0 Corn, sweet, forage 15.0 Corn, sweet, kernel plus cob with husks removed 0.1 Corn, sweet, stover 15.0 Cotton, undelinted seed 0.2 Cucumber 0.5 Egg 0.03 Eggplant 0...

  15. 40 CFR 180.533 - Esfenvalerate; tolerances for residues.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... Cauliflower 0.5 Collards 3.0 Corn, field, forage 15.0 Corn, field, grain 0.02 Corn, field, stover 15.0 Corn, pop, grain 0.02 Corn, pop, stover 15.0 Corn, sweet, forage 15.0 Corn, sweet, kernel plus cob with husks removed 0.1 Corn, sweet, stover 15.0 Cotton, undelinted seed 0.2 Cucumber 0.5 Egg 0.03 Eggplant 0...

  16. 40 CFR 180.117 - S-Ethyl dipropylthiocarbamate; tolerances for residues.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... 0.4 Beet, sugar, tops 0.5 Clover, forage 0.1 Clover, hay 0.1 Corn, field, forage 0.08 Corn, field, grain 0.08 Corn, field, stover 0.08 Corn, pop, grain 0.08 Corn, pop, stover 0.08 Corn, sweet, forage 0.08 Corn, sweet, kernel plus cob with husks removed 0.08 Corn, sweet, stover 0.08 Cotton, gin...

  17. 40 CFR 180.301 - Carboxin; tolerances for residues.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... Cattle, fat 0.05 Cattle, meat byproducts 0.1 Cattle, meat 0.05 Corn, field, forage 0.2 Corn, field, grain 0.2 Corn, field, stover 0.2 Corn, pop, grain 0.2 Corn, pop, stover 0.2 Corn, sweet, forage 0.2 Corn, sweet, kernel plus cob with husks removed 0.2 Corn, sweet, stover 0.2 Cotton, undelinted seed 0.2 Egg 0...

  18. 40 CFR 180.533 - Esfenvalerate; tolerances for residues.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... Cauliflower 0.5 Collards 3.0 Corn, field, forage 15.0 Corn, field, grain 0.02 Corn, field, stover 15.0 Corn, pop, grain 0.02 Corn, pop, stover 15.0 Corn, sweet, forage 15.0 Corn, sweet, kernel plus cob with husks removed 0.1 Corn, sweet, stover 15.0 Cotton, undelinted seed 0.2 Cucumber 0.5 Egg 0.03 Eggplant 0...

  19. 40 CFR 180.352 - Terbufos; tolerances for residues.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... million Banana 0.025 Beet, sugar, roots 0.05 Beet, sugar, tops 0.1 Coffee, green bean 1 0.05 Corn, field, forage 0.5 Corn, field, grain 0.5 Corn, field, stover 0.5 Corn, pop, grain 0.5 Corn, pop, stover 0.5 Corn, sweet, kernel plus cob with husks removed 0.05 Corn, sweet, forage 0.5 Corn, sweet, stover 0.5 Sorghum...

  20. 40 CFR 180.665 - Sedaxane; tolerances for residues.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ..., grain 0.01 Barley, hay 0.04 Barley, straw 0.01 Canola, seed 0.01 Corn, field, forage 0.01 Corn, field, grain 0.01 Corn, field, stover 0.01 Corn, pop, grain 0.01 Corn, pop, stover 0.01 Corn, sweet, forage 0.01 Corn, sweet, kernel plus cob with husks removed 0.01 Corn, sweet, stover 0.01 Oat, forage 0.015...

  1. 40 CFR 180.117 - S-Ethyl dipropylthiocarbamate; tolerances for residues.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... 0.4 Beet, sugar, tops 0.5 Clover, forage 0.1 Clover, hay 0.1 Corn, field, forage 0.08 Corn, field, grain 0.08 Corn, field, stover 0.08 Corn, pop, grain 0.08 Corn, pop, stover 0.08 Corn, sweet, forage 0.08 Corn, sweet, kernel plus cob with husks removed 0.08 Corn, sweet, stover 0.08 Cotton, gin...

  2. 40 CFR 180.301 - Carboxin; tolerances for residues.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... Cattle, fat 0.05 Cattle, meat byproducts 0.1 Cattle, meat 0.05 Corn, field, forage 0.2 Corn, field, grain 0.2 Corn, field, stover 0.2 Corn, pop, grain 0.2 Corn, pop, stover 0.2 Corn, sweet, forage 0.2 Corn, sweet, kernel plus cob with husks removed 0.2 Corn, sweet, stover 0.2 Cotton, undelinted seed 0.2 Egg 0...

  3. 40 CFR 180.117 - S-Ethyl dipropylthiocarbamate; tolerances for residues.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... 0.4 Beet, sugar, tops 0.5 Clover, forage 0.1 Clover, hay 0.1 Corn, field, forage 0.08 Corn, field, grain 0.08 Corn, field, stover 0.08 Corn, pop, grain 0.08 Corn, pop, stover 0.08 Corn, sweet, forage 0.08 Corn, sweet, kernel plus cob with husks removed 0.08 Corn, sweet, stover 0.08 Cotton, gin...

  4. 40 CFR 180.117 - S-Ethyl dipropylthiocarbamate; tolerances for residues.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... 0.4 Beet, sugar, tops 0.5 Clover, forage 0.1 Clover, hay 0.1 Corn, field, forage 0.08 Corn, field, grain 0.08 Corn, field, stover 0.08 Corn, pop, grain 0.08 Corn, pop, stover 0.08 Corn, sweet, forage 0.08 Corn, sweet, kernel plus cob with husks removed 0.08 Corn, sweet, stover 0.08 Cotton, gin...

  5. 40 CFR 180.665 - Sedaxane; tolerances for residues.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ..., grain 0.01 Barley, hay 0.04 Barley, straw 0.01 Canola, seed 0.01 Corn, field, forage 0.01 Corn, field, grain 0.01 Corn, field, stover 0.01 Corn, pop, grain 0.01 Corn, pop, stover 0.01 Corn, sweet, forage 0.01 Corn, sweet, kernel plus cob with husks removed 0.01 Corn, sweet, stover 0.01 Oat, forage 0.015...

  6. 40 CFR 180.579 - Fenamidone; tolerances for residues.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... of application of fenamidone to the crops in paragraph (a)(1). Commodity Parts per million Corn, field, forage 0.25 Corn, field, grain 0.02 Corn, field, stover 0.40 Corn, sweet, forage 0.15 Corn, sweet, kernel plus cob with husks removed 0.02 Corn, sweet, stover 0.20 Soybean, forage 0.15 Soybean, hay 0.25...

  7. Isolation, purification and identification of protein associated with corn fiber gum

    USDA-ARS?s Scientific Manuscript database

    Corn fiber gum (CFG), an alkaline hydrogen peroxide extract of corn kernel milling by-product “corn fiber” is a proteinaceous arabinoxylan with a protein content ranging from ca. 2 to 9% by weight for the CFG samples isolated from different corn milling fiber sources. Several studies have suggested...

  8. Fully-Automated High-Throughput NMR System for Screening of Haploid Kernels of Maize (Corn) by Measurement of Oil Content

    PubMed Central

    Xu, Xiaoping; Huang, Qingming; Chen, Shanshan; Yang, Peiqiang; Chen, Shaojiang; Song, Yiqiao

    2016-01-01

    One of the modern crop breeding techniques uses doubled haploid plants that contain an identical pair of chromosomes in order to accelerate the breeding process. Rapid haploid identification method is critical for large-scale selections of double haploids. The conventional methods based on the color of the endosperm and embryo seeds are slow, manual and prone to error. On the other hand, there exists a significant difference between diploid and haploid seeds generated by high oil inducer, which makes it possible to use oil content to identify the haploid. This paper describes a fully-automated high-throughput NMR screening system for maize haploid kernel identification. The system is comprised of a sampler unit to select a single kernel to feed for measurement of NMR and weight, and a kernel sorter to distribute the kernel according to the measurement result. Tests of the system show a consistent accuracy of 94% with an average screening time of 4 seconds per kernel. Field test result is described and the directions for future improvement are discussed. PMID:27454427

  9. 40 CFR 180.486 - Phosphorothioic acid, 0,0-diethyl 0-(1,2,2,2-tetrachloroethyl) ester; tolerances for residues.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... the following raw agricultural commodities: Commodity Parts per million Corn, field, forage 0.01 Corn, field, grain 0.01 Corn, field, stover 0.01 Corn, pop, grain 0.01 Corn, pop, stover 0.01 Corn, sweet, forage 0.01 Corn, sweet, kernel plus cob with husks removed 0.01 Corn, sweet, stover 0.01 [60 FR 49792...

  10. 40 CFR 180.582 - Pyraclostrobin; tolerances for residues.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... 13-07A 4.0 Canistel 0.6 Citrus, dried pulp 12.5 Citrus, oil 9.0 Coffee, green bean 1 0.3 Corn, field, forage 5.0 Corn, field, grain 0.1 Corn, field, refined oil 0.2 Corn, field, stover 17.0 Corn, pop, grain 0.1 Corn, pop, stover 17.0 Corn, sweet, forage 5.0 Corn, sweet, kernel plus cob with husks removed 0...

  11. 40 CFR 180.448 - Hexythiazox; tolerance for residues.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... Corn, sweet, plus cobs with husks removed (K+CWHR) 0.02 12/31/12 Corn, sweet, forage 6.0 12/31/12 Corn... only) 4.0 Corn, sweet, kernel plus cob with husks removed (EPA Regions 7-12 only) 0.1 Cotton, gin... byproducts 0.5 Citrus, dried pulp 0.60 Citrus, oil 24 Corn, field, forage 3.0 Corn, field, grain 0.02 Corn...

  12. 40 CFR 180.332 - Metribuzin; tolerances for residues.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... Barley, straw 1.0 Carrot, roots 0.3 Cattle, fat 0.7 Cattle, meat 0.7 Cattle, meat byproducts 0.7 Corn, field, forage 0.1 Corn, field, grain 0.05 Corn, field, stover 0.1 Corn, pop, grain 0.05 Corn, sweet, forage 0.1 Corn, sweet, kernel plus cob with husks removed 0.05 Corn, sweet, stover 0.1 Egg 0.01 Goat...

  13. 40 CFR 180.361 - Pendimethalin; tolerances for residues.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... greens, subgroup 5B 0.20 Carrot 0.5 Citrus, oil 0.5 Corn, field, forage 0.1 Corn, field, grain 0.1 Corn, field, stover 0.1 Corn, pop, grain 0.1 Corn, sweet, forage 0.1 Corn, sweet, kernel plus cob with husks removed 0.1 Corn, sweet, stover 0.1 Cotton, gin byproducts 3.0 Cotton, undelinted seed 0.1 Crayfish 0.05...

  14. 40 CFR 180.469 - Dichlormid; tolerances for residues.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... Parts per million Expiration/revocation date Corn, field, forage 0.05 12/31/10 Corn, field, grain 0.05 12/31/10 Corn, field, stover 0.05 12/31/10 Corn, pop, grain 0.05 12/31/10 Corn, pop, stover 0.05 12/31/10 Corn, sweet, forage 0.05 12/31/10 Corn, sweet, kernel plus cob with husks removed 0.05 12/31/10...

  15. 40 CFR 180.332 - Metribuzin; tolerances for residues.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... Barley, straw 1.0 Carrot, roots 0.3 Cattle, fat 0.7 Cattle, meat 0.7 Cattle, meat byproducts 0.7 Corn, field, forage 0.1 Corn, field, grain 0.05 Corn, field, stover 0.1 Corn, pop, grain 0.05 Corn, sweet, forage 0.1 Corn, sweet, kernel plus cob with husks removed 0.05 Corn, sweet, stover 0.1 Egg 0.01 Goat...

  16. 40 CFR 180.361 - Pendimethalin; tolerances for residues.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... greens, subgroup 5B 0.20 Carrot 0.5 Citrus, oil 0.5 Corn, field, forage 0.1 Corn, field, grain 0.1 Corn, field, stover 0.1 Corn, pop, grain 0.1 Corn, sweet, forage 0.1 Corn, sweet, kernel plus cob with husks removed 0.1 Corn, sweet, stover 0.1 Cotton, gin byproducts 3.0 Cotton, undelinted seed 0.1 Crayfish 0.05...

  17. 40 CFR 180.332 - Metribuzin; tolerances for residues.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... Barley, straw 1.0 Carrot, roots 0.3 Cattle, fat 0.7 Cattle, meat 0.7 Cattle, meat byproducts 0.7 Corn, field, forage 0.1 Corn, field, grain 0.05 Corn, field, stover 0.1 Corn, pop, grain 0.05 Corn, sweet, forage 0.1 Corn, sweet, kernel plus cob with husks removed 0.05 Corn, sweet, stover 0.1 Egg 0.01 Goat...

  18. 40 CFR 180.332 - Metribuzin; tolerances for residues.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... Barley, straw 1.0 Carrot, roots 0.3 Cattle, fat 0.7 Cattle, meat 0.7 Cattle, meat byproducts 0.7 Corn, field, forage 0.1 Corn, field, grain 0.05 Corn, field, stover 0.1 Corn, pop, grain 0.05 Corn, sweet, forage 0.1 Corn, sweet, kernel plus cob with husks removed 0.05 Corn, sweet, stover 0.1 Egg 0.01 Goat...

  19. 40 CFR 180.658 - Penthiopyrad; tolerances for residues.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ..., subgroup 5A 5.0 Brassica, leafy greens, subgroup 5B 50 Buckwheat, grain 0.15 Canola 1.5 Corn, field, forage 40 Corn, field, grain 0.01 Corn, field, refined oil 0.05 Corn, field, stover 15 Corn, pop, grain 0.01 Corn, sweet, kernel plus cob with husks removed 0.01 Cotton, seed 1.5 Cotton, gin byproducts 15 Fruit...

  20. 40 CFR 180.473 - Glufosinate ammonium; tolerances for residues.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... 1.1 Canola, seed 0.40 Cattle, fat 0.40 Cattle, meat 0.15 Cattle, meat byproducts 6.0 Corn, field forage 4.0 Corn, field, grain 0.20 Corn, field, stover 6.0 Corn, sweet, forage 1.5 Corn, sweet, kernels plus cob with husks removed 0.30 Corn, sweet, stover 6.0 Cotton, gin byproducts 15 Cotton, undelinted...

  1. 40 CFR 180.658 - Penthiopyrad; tolerances for residues.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ..., subgroup 5A 5.0 Brassica, leafy greens, subgroup 5B 50 Buckwheat, grain 0.15 Canola 1.5 Corn, field, forage 40 Corn, field, grain 0.01 Corn, field, refined oil 0.05 Corn, field, stover 15 Corn, pop, grain 0.01 Corn, sweet, kernel plus cob with husks removed 0.01 Cotton, seed 1.5 Cotton, gin byproducts 15 Fruit...

  2. 40 CFR 180.473 - Glufosinate ammonium; tolerances for residues.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... 1.1 Canola, seed 0.40 Cattle, fat 0.40 Cattle, meat 0.15 Cattle, meat byproducts 6.0 Corn, field forage 4.0 Corn, field, grain 0.20 Corn, field, stover 6.0 Corn, sweet, forage 1.5 Corn, sweet, kernels plus cob with husks removed 0.30 Corn, sweet, stover 6.0 Cotton, gin byproducts 15 Cotton, undelinted...

  3. 40 CFR 180.658 - Penthiopyrad; tolerances for residues.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ..., subgroup 5A 5.0 Brassica, leafy greens, subgroup 5B 50 Buckwheat, grain 0.15 Canola 1.5 Corn, field, forage 40 Corn, field, grain 0.01 Corn, field, refined oil 0.05 Corn, field, stover 15 Corn, pop, grain 0.01 Corn, sweet, kernel plus cob with husks removed 0.01 Cotton, seed 1.5 Cotton, gin byproducts 15 Fruit...

  4. Nutritive value of corn silage as affected by maturity and mechanical processing: a contemporary review.

    PubMed

    Johnson, L; Harrison, J H; Hunt, C; Shinners, K; Doggett, C G; Sapienza, D

    1999-12-01

    Stage of maturity at harvest and mechanical processing affect the nutritive value of corn silage. The change in nutritive value of corn silage as maturity advances can be measured by animal digestion and macro in situ degradation studies among other methods. Predictive equations using climatic data, vitreousness of corn grain in corn silage, starch reactivity, gelatinization enthalpy, dry matter (DM) of corn grain in corn silage, and DM of corn silage can be used to estimate starch digestibility of corn silage. Whole plant corn silage can be mechanically processed either pre- or postensiling with a kernel processor mounted on a forage harvester, a recutter screen on a forage harvester, or a stationary roller mill. Mechanical processing of corn silage can improve ensiling characteristics, reduce DM losses during ensiling, and improve starch and fiber digestion as a result of fracturing the corn kernels and crushing and shearing the stover and cobs. Improvements in milk production have ranged from 0.2 to 2.0 kg/d when cows were fed mechanically processed corn silage. A consistent improvement in milk protein yield has also been observed when mechanically processed corn silage has been fed. With the advent of mechanical processors, alternative strategies are evident for corn silage management, such as a longer harvest window.

  5. Development, survival and fitness performance of Helicoverpa zea (Lepidoptera: Noctuidae) in MON810 Bt field corn.

    PubMed

    Horner, T A; Dively, G P; Herbert, D A

    2003-06-01

    Helicoverpa zea (Boddie) development, survival, and feeding injury in MON810 transgenic ears of field corn (Zea mays L.) expressing Bacillus thuringiensis variety kurstaki (Bt) Cry1Ab endotoxins were compared with non-Bt ears at four geographic locations over two growing seasons. Expression of Cry1Ab endotoxin resulted in overall reductions in the percentage of damaged ears by 33% and in the amount of kernels consumed by 60%. Bt-induced effects varied significantly among locations, partly because of the overall level and timing of H. zea infestations, condition of silk tissue at the time of egg hatch, and the possible effects of plant stress. Larvae feeding on Bt ears produced scattered, discontinuous patches of partially consumed kernels, which were arranged more linearly than the compact feeding patterns in non-Bt ears. The feeding patterns suggest that larvae in Bt ears are moving about sampling kernels more frequently than larvae in non-Bt ears. Because not all kernels express the same level of endotoxin, the spatial heterogeneity of toxin distribution within Bt ears may provide an opportunity for development of behavioral responses in H. zea to avoid toxin. MON810 corn suppressed the establishment and development of H. zea to late instars by at least 75%. This level of control is considered a moderate dose, which may increase the risk of resistance development in areas where MON810 corn is widely adopted and H. zea overwinters successfully. Sublethal effects of MON810 corn resulted in prolonged larval and prepupal development, smaller pupae, and reduced fecundity of H. zea. The moderate dose effects and the spatial heterogeneity of toxin distribution among kernels could increase the additive genetic variance for both physiological and behavioral resistance in H. zea populations. Implications of localized population suppression are discussed.

  6. 40 CFR 180.221 - O-Ethyl S-phenyl ethylphos-phonodithioate; tolerances for residues.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    .... Beet, sugar, tops 0.1 Do. Corn, field, forage 0.1 Do. Corn, field, grain 0.1 Do. Corn, field, stover 0.1 Do. Corn, pop, grain 0.1 Do. Corn, pop, stover 0.1 Do. Corn, sweet, forage 0.1 Do. Corn, sweet, kernel plus cob with husks removed 0.1 Do. Corn, sweet, stover 0.1 Do. Peanut 0.1 Do. Peanut, hay 0.1 Do...

  7. 40 CFR 180.450 - Beta-(4-Chlorophenoxy)-alpha-(1,1-dimethylethyl)-1H-1,2,4-triazole-1-ethanol; tolerances for...

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... None Corn, field, forage 0.05 None Corn, field, grain 0.05 None Corn, field, stover 0.05 None Corn, pop, grain 0.05 None Corn, pop, stover 0.05 None Corn, sweet, forage 0.05 None Corn, sweet, kernel plus cob with husks removed 0.05 None Corn, sweet, stover 0.05 None Cotton, undelinted seed 0.02 None Oat...

  8. 40 CFR 180.221 - O-Ethyl S-phenyl ethylphos-phonodithioate; tolerances for residues.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    .... Beet, sugar, tops 0.1 Do. Corn, field, forage 0.1 Do. Corn, field, grain 0.1 Do. Corn, field, stover 0.1 Do. Corn, pop, grain 0.1 Do. Corn, pop, stover 0.1 Do. Corn, sweet, forage 0.1 Do. Corn, sweet, kernel plus cob with husks removed 0.1 Do. Corn, sweet, stover 0.1 Do. Peanut 0.1 Do. Peanut, hay 0.1 Do...

  9. 40 CFR 180.221 - O-Ethyl S-phenyl ethylphos-phonodithioate; tolerances for residues.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    .... Beet, sugar, tops 0.1 Do. Corn, field, forage 0.1 Do. Corn, field, grain 0.1 Do. Corn, field, stover 0.1 Do. Corn, pop, grain 0.1 Do. Corn, pop, stover 0.1 Do. Corn, sweet, forage 0.1 Do. Corn, sweet, kernel plus cob with husks removed 0.1 Do. Corn, sweet, stover 0.1 Do. Peanut 0.1 Do. Peanut, hay 0.1 Do...

  10. 40 CFR 180.450 - Beta-(4-Chlorophenoxy)-alpha-(1,1-dimethylethyl)-1H-1,2,4-triazole-1-ethanol; tolerances for...

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... None Corn, field, forage 0.05 None Corn, field, grain 0.05 None Corn, field, stover 0.05 None Corn, pop, grain 0.05 None Corn, pop, stover 0.05 None Corn, sweet, forage 0.05 None Corn, sweet, kernel plus cob with husks removed 0.05 None Corn, sweet, stover 0.05 None Cotton, undelinted seed 0.02 None Oat...

  11. 40 CFR 180.450 - Beta-(4-Chlorophenoxy)-alpha-(1,1-dimethylethyl)-1H-1,2,4-triazole-1-ethanol; tolerances for...

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... None Corn, field, forage 0.05 None Corn, field, grain 0.05 None Corn, field, stover 0.05 None Corn, pop, grain 0.05 None Corn, pop, stover 0.05 None Corn, sweet, forage 0.05 None Corn, sweet, kernel plus cob with husks removed 0.05 None Corn, sweet, stover 0.05 None Cotton, undelinted seed 0.02 None Oat...

  12. 40 CFR 180.450 - Beta-(4-Chlorophenoxy)-alpha-(1,1-dimethylethyl)-1H-1,2,4-triazole-1-ethanol; tolerances for...

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... None Corn, field, forage 0.05 None Corn, field, grain 0.05 None Corn, field, stover 0.05 None Corn, pop, grain 0.05 None Corn, pop, stover 0.05 None Corn, sweet, forage 0.05 None Corn, sweet, kernel plus cob with husks removed 0.05 None Corn, sweet, stover 0.05 None Cotton, undelinted seed 0.02 None Oat...

  13. 40 CFR 180.312 - 4-Aminopyridine; tolerances for residues.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... million Expiration/Revocation Date Corn, field, forage 0.1 1/15/06 Corn, field, grain 0.1 1/15/06 Corn, field, stover 0.1 1/15/06 Corn, pop, grain 0.1 1/15/06 Corn, pop, stover 0.1 1/15/06 Corn, sweet, forage 0.1 1/15/06 Corn, sweet, kernel plus cob with husks removed 0.1 1/15/06 Corn, sweet, stover 0.1 1/15...

  14. 40 CFR 180.450 - Beta-(4-Chlorophenoxy)-alpha-(1,1-dimethylethyl)-1H-1,2,4-triazole-1-ethanol; tolerances for...

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... None Corn, field, forage 0.05 None Corn, field, grain 0.05 None Corn, field, stover 0.05 None Corn, pop, grain 0.05 None Corn, pop, stover 0.05 None Corn, sweet, forage 0.05 None Corn, sweet, kernel plus cob with husks removed 0.05 None Corn, sweet, stover 0.05 None Cotton, undelinted seed 0.02 None Oat...

  15. Corn fiber gum and milk protein conjugates with improved emulsion stability

    USDA-ARS?s Scientific Manuscript database

    Corn fiber gum (CFG), an alkaline hydrogen peroxide extract of the corn kernel milling by-product “corn fiber” was covalently conjugated with Beta-lactoglobulin (Beta-LG) and whey protein isolate (WPI). Covalent coupling of CFG to protein was achieved by dry heating reaction (Maillard-type) of CFG ...

  16. 40 CFR 180.232 - Butylate; tolerances for residues.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... Expiration/Revocation Date Corn, field, forage 0.1 3/23/13 Corn, field, grain 0.1 3/23/13 Corn, field, stover 0.1 3/23/13 Corn, pop, grain 0.1 3/23/13 Corn, pop, stover 0.1 3/23/13 Corn, sweet, forage 0.1 3/23/13 Corn, sweet, kernel plus cob with husks removed 0.1 3/23/13 (b) Section 18 emergency exemptions...

  17. 40 CFR 180.232 - Butylate; tolerances for residues.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... Expiration/revocation date Corn, field, forage 0.1 3/23/13 Corn, field, grain 0.1 3/23/13 Corn, field, stover 0.1 3/23/13 Corn, pop, grain 0.1 3/23/13 Corn, pop, stover 0.1 3/23/13 Corn, sweet, forage 0.1 3/23/13 Corn, sweet, kernel plus cob with husks removed 0.1 3/23/13 (b) Section 18 emergency exemptions...

  18. 40 CFR 180.598 - Novaluron; tolerances for residues.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... Cattle, meat 0.60 Cattle, meat byproducts, except kidney and liver 11 Cherry 8.0 Cocona 1.0 Corn, sweet, forage 16 Corn, sweet, kernel plus cob with husks removed 0.05 Corn, sweet, stover 50 Cotton, gin...

  19. 40 CFR 180.475 - Difenoconazole; tolerances for residues.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... Canola, seed 0.01 Citrus, dried pulp 2.0 Citrus, oil 25 Corn, sweet, forage 0.01 Corn, sweet, kernel plus cob with husks removed 0.01 Corn, sweet, stover 0.01 Cotton, gin byproducts 0.05 Cotton, undelinted...

  20. Aspergillus flavus Infection and Aflatoxin Production in Corn: Influence of Trace Elements

    PubMed Central

    Lillehoj, E. B.; Garcia, W. J.; Lambrow, M.

    1974-01-01

    Distribution of trace element levels in corn germ fractions from kernels naturally infected with Aspergillus flavus and from kernels free of the fungus demonstrated an association between the presence of A. flavus and higher levels of metals. A. flavus production of aflatoxin on various autoclaved corn media showed that ground, whole corn was an excellent substrate; similar high levels of toxin were observed on full-fat corn germ but endosperm and defatted corn germ supported reduced yields. The influence of trace elements and their availability in defatted corn germ to A. flavus-mediated aflatoxin biosynthesis were measured. Enrichment of the substrate with 5 to 10 μg of manganese, copper, cadmium, or chromium per g of germ increased toxin yields. Addition of lead or zinc (50 to 250 μg/g) also enhanced toxin accumulation. Aflatoxin elaboration was reduced by the addition of 25 μg of cadmium per g or 500 μg of copper per g of germ. PMID:4216287

  1. 40 CFR 180.448 - Hexythiazox; tolerance for residues.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ..., sweet, plus cobs with husks removed (K+CWHR) 0.02 12/31/12 Corn, sweet, forage 6.0 12/31/12 Corn, sweet... only) 4.0 Corn, sweet, kernel plus cob with husks removed (EPA Regions 7-12 only) 0.1 Cotton, gin... 24 Corn, field, forage 3.0 Corn, field, grain 0.02 Corn, field, stover 7.0 Date, dried fruit 1.0 Egg...

  2. 40 CFR 180.448 - Hexythiazox; tolerance for residues.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    .../revocation date Corn, sweet, plus cobs with husks removed (K+CWHR) 0.02 12/31/12 Corn, sweet, forage 6.0 12... (EPA Regions 7-12 only) 4.0 Corn, sweet, kernel plus cob with husks removed (EPA Regions 7-12 only) 0.1... 24 Corn, field, forage 3.0 Corn, field, grain 0.02 Corn, field, stover 7.0 Date, dried fruit 1.0...

  3. 40 CFR 180.535 - Fluroxypyr 1-methylheptyl ester; tolerances for residues.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ....0 Cattle, fat 0.1 Cattle, kidney 1.5 Cattle, meat 0.1 Cattle, meat byproducts 0.1 Corn, field, forage 1.0 Corn, field, grain 0.02 Corn, field, stover 0.5 Corn, sweet, forage 1.0 Corn, sweet, kernel plus cob with husks removed 0.02 Corn, sweet, stover 2.0 Fruit, pome, group 11 0.02 Garlic, bulb 0.03...

  4. 40 CFR 180.535 - Fluroxypyr 1-methylheptyl ester; tolerances for residues.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ....0 Cattle, fat 0.1 Cattle, kidney 1.5 Cattle, meat 0.1 Cattle, meat byproducts 0.1 Corn, field, forage 1.0 Corn, field, grain 0.02 Corn, field, stover 0.5 Corn, sweet, forage 1.0 Corn, sweet, kernel plus cob with husks removed 0.02 Corn, sweet, stover 2.0 Fruit, pome, group 11 0.02 Garlic, bulb 0.03...

  5. Variation of biometric parameters in corn cobs under the influence of nitrogen fertilization

    NASA Astrophysics Data System (ADS)

    Gigel, Prisecaru; Florin, Sala

    2017-07-01

    Biometric parameters as elements of productivity on corn cobs, along with plant density per unit area (ha) are essential in achieving production. The influence of differentiated fertilization with nitrogen was evaluated at the level of productivity elements on corn cobs, Andreea hybrid. Biometric parameters of the corn cobs (total length - L; usable length - l; uncoated length with corn kernels - lu; diameter at the base - Db, middle - Dm, and top of the corn cobs - Dt; corn cob weight - Cw, grain weight - Gw) were directly influenced by the doses of nitrogen. Regression analysis has facilitated the prediction of grain weight as the main element of productivity under different statistical certainty based on nitrogen doses (R2 = 0.962, p<0.01), on the total length of corn cobs (R2 = 0.985, p<0.01), on the usable length of corn cobs (R2 = 0.996, p<<0.001), on the diameter at the base of corn cobs (R2 = 0.824, p<0.01), on the diameter at the middle of corn cobs (R2 = 0.807, p<0.01), on uncoated length with corn kernels (R2 = 0.624, p<0.01) and on the diameter at the top of the corn cobs (R2 = 0.384, p=0.015).

  6. Effects of Japanese beetle (Coleoptera: Scarabaeidae) and silk clipping in field corn.

    PubMed

    Steckel, Sandy; Stewart, S D; Tindall, K V

    2013-10-01

    Japanese beetle (Popillia japonica Newman) is an emerging silk-feeding insect found in fields in the lower Corn Belt and Midsouthern United States. Studies were conducted in 2010 and 2011 to evaluate how silk clipping in corn affects pollination and yield parameters. Manually clipping silks once daily had modest effects on yield parameters. Sustained clipping by either manually clipping silks three times per day or by caging Japanese beetles onto ears affected total kernel weight if it occurred during early silking (R1 growth stage). Manually clipping silks three times per day for the first 5 d of silking affected the number of kernels per ear, total kernel weight, and the weight of individual kernels. Caged beetles fed on silks and, depending on the number of beetles caged per ear, reduced the number of kernels per ear. Caging eight beetles per ear significantly reduced total kernel weight compared with noninfested ears. Drought stress before anthesis appeared to magnify the impact of silk clipping by Japanese beetles. There was evidence of some compensation for reduced pollination by increasing the size of pollinated kernels within the ear. Our results showed that it requires sustained silk clipping during the first week of silking to have substantial impacts on pollination and yield parameters, at least under good growing conditions. Some states recommend treating for Japanese beetle when three Japanese beetles per ear are found, silks are clipped to < 13 mm, and pollination is < 50% complete, and that recommendation appears to be adequate.

  7. 40 CFR 180.475 - Difenoconazole; tolerances for residues.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ....01 Carrot 0.50 Chickpea 0.08 Citrus, dried pulp 2.0 Citrus, oil 25 Corn, sweet, forage 0.01 Corn, sweet, kernel plus cob with husks removed 0.01 Corn, sweet, stover 0.01 Cotton, gin byproducts 0.05...

  8. 40 CFR 180.182 - Endosulfan; tolerances for residues.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... Celery 8.0 Cherry, sweet 2.0 Cherry, tart 2.0 Collards 2.0 Corn, sweet, forage 12.0 Corn, sweet, kernel plus cob with husks removed 0.2 Corn, sweet, stover 14.0 Cotton, gin byproducts 30.0 Cotton, undelinted...

  9. 40 CFR 180.475 - Difenoconazole; tolerances for residues.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ....01 Carrot 0.50 Chickpea 0.08 Citrus, dried pulp 2.0 Citrus, oil 25 Corn, sweet, forage 0.01 Corn, sweet, kernel plus cob with husks removed 0.01 Corn, sweet, stover 0.01 Cotton, gin byproducts 0.05...

  10. Corn fiber gum: New structure/function relationships for this potential beverage flavor stabilizer

    USDA-ARS?s Scientific Manuscript database

    Corn fiber arabinoxylan is a hemicellulose B isolated from the fibrous portions (pericarp, tip cap, and endosperm cell wall fractions) of corn kernels by alkaline solution, often in the presence of hydrogen peroxide and is commonly referred to as “Corn fiber gum” (CFG). The unique polysaccharide, C...

  11. 40 CFR 180.448 - Hexythiazox; tolerance for residues.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    .../revocation date Corn, field, forage 2.0 12/31/10 Corn, field, grain 0.05 12/31/10 Corn, field, stover 2.0 12/31/10 Corn, sweet, plus cobs with husks removed (K+CWHR) 0.02 12/31/12 Corn, sweet, forage 6.0 12/31... (EPA Regions 7-12 only) 4.0 Corn, sweet, kernel plus cob with husks removed (EPA Regions 7-12 only) 0.1...

  12. 40 CFR 180.414 - Cyromazine; tolerances for residues.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    .... Commodity Parts per million Cotton, undelinted seed 0.1 Corn, sweet, kernel plus cob with husks removed 0.5 Corn, sweet, forage 0.5 Corn, sweet, stover 0.5 Radish, roots 0.5 Radish, tops 0.5 [65 FR 25860, May 4...

  13. 40 CFR 180.475 - Difenoconazole; tolerances for residues.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ..., straw 0.05 Beet, sugar 0.3 Beet, sugar, dried pulp 1.9 Brassica, head and stem, subgroup 5A 1.9 Brassica..., oil 25 Corn, sweet, forage 0.01 Corn, sweet, kernel plus cob with husks removed 0.01 Corn, sweet...

  14. 40 CFR 180.475 - Difenoconazole; tolerances for residues.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ..., straw 0.05 Beet, sugar 0.3 Beet, sugar, dried pulp 1.9 Brassica, head and stem, subgroup 5A 1.9 Brassica..., oil 25 Corn, sweet, forage 0.01 Corn, sweet, kernel plus cob with husks removed 0.01 Corn, sweet...

  15. Evaluation of spatial and temporal patterns of insect damage and aflatoxin level in the pre-harvest corn fields to improve management tactics.

    PubMed

    Ni, Xinzhi; Wilson, Jeffrey P; Toews, Michael D; Buntin, G David; Lee, R Dewey; Li, Xin; Lei, Zhongren; He, Kanglai; Xu, Wenwei; Li, Xianchun; Huffaker, Alisa; Schmelz, Eric A

    2014-10-01

    Spatial and temporal patterns of insect damage in relation to aflatoxin contamination in a corn field with plants of uniform genetic background are not well understood. After previous examination of spatial patterns of insect damage and aflatoxin in pre-harvest corn fields, we further examined both spatial and temporal patterns of cob- and kernel-feeding insect damage, and aflatoxin level with two samplings at pre-harvest in 2008 and 2009. The feeding damage by each of the ear/kernel-feeding insects (i.e., corn earworm/fall armyworm damage on the silk/cob, and discoloration of corn kernels by stink bugs) and maize weevil population were assessed at each grid point with five ears. Sampling data showed a field edge effect in both insect damage and aflatoxin contamination in both years. Maize weevils tended toward an aggregated distribution more frequently than either corn earworm or stink bug damage in both years. The frequency of detecting aggregated distribution for aflatoxin level was less than any of the insect damage assessments. Stink bug damage and maize weevil number were more closely associated with aflatoxin level than was corn earworm damage. In addition, the indices of spatial-temporal association (χ) demonstrated that the number of maize weevils was associated between the first (4 weeks pre-harvest) and second (1 week pre-harvest) samplings in both years on all fields. In contrast, corn earworm damage between the first and second samplings from the field on the Belflower Farm, and aflatoxin level and corn earworm damage from the field on the Lang Farm were dissociated in 2009. Published 2012. This article is a U.S. Government work and is in the public domain in the USA.

  16. 40 CFR 180.242 - Thiabendazole; tolerances for residues.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ..., dry, seed 0.1 None Beet, sugar, dried pulp 3.5 12/25/10 Beet, sugar, roots 0.25 12/25/10 Beet, sugar..., forage 0.01 None Corn, pop, grain 0.01 None Corn, pop, stover 0.01 None Corn, sweet, forage 0.01 None Corn, sweet, kernels plus cop with husks removed 0.01 None Corn, sweet, stover 0.01 None Fruit, citrus...

  17. 40 CFR 180.242 - Thiabendazole; tolerances for residues.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ..., dry, seed 0.1 None Beet, sugar, dried pulp 3.5 12/25/10 Beet, sugar, roots 0.25 12/25/10 Beet, sugar..., forage 0.01 None Corn, pop, grain 0.01 None Corn, pop, stover 0.01 None Corn, sweet, forage 0.01 None Corn, sweet, kernels plus cop with husks removed 0.01 None Corn, sweet, stover 0.01 None Fruit, citrus...

  18. 40 CFR 180.242 - Thiabendazole; tolerances for residues.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ..., dry, seed 0.1 None Beet, sugar, dried pulp 3.5 12/25/10 Beet, sugar, roots 0.25 12/25/10 Beet, sugar..., forage 0.01 None Corn, pop, grain 0.01 None Corn, pop, stover 0.01 None Corn, sweet, forage 0.01 None Corn, sweet, kernels plus cop with husks removed 0.01 None Corn, sweet, stover 0.01 None Fruit, citrus...

  19. 40 CFR 180.242 - Thiabendazole; tolerances for residues.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ..., dry, seed 0.1 None Beet, sugar, dried pulp 3.5 12/25/10 Beet, sugar, roots 0.25 12/25/10 Beet, sugar..., forage 0.01 None Corn, pop, grain 0.01 None Corn, pop, stover 0.01 None Corn, sweet, forage 0.01 None Corn, sweet, kernels plus cop with husks removed 0.01 None Corn, sweet, stover 0.01 None Fruit, citrus...

  20. 75 FR 19393 - Notice of Withdrawal of Pesticide Petitions for Residues of Pesticide Chemicals in or on Various...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-04-14

    ...-phenylene bis(allophonate), and its metabolite MBC in or on the food commodities corn, sweet, kernel plus cob with husk removed; corn, sweet, forage; and corn, sweet, stover at 0.05 parts per million (ppm...

  1. [Adaptability of sweet corn ears to a frozen process].

    PubMed

    Ramírez Matheus, Alejandra O; Martínez, Norelkys Maribel; de Bertorelli, Ligia O; De Venanzi, Frank

    2004-12-01

    The effects of frozen condition on the quality of three sweet corn ears (2038, 2010, 2004) and the pattern (Bonanza), were evaluated. Biometrics characteristics like ear size, ear diameter, row and kernel deep were measured as well as chemical and physical measurement in fresh and frozen states. The corn ears were frozen at -95 degrees C by 7 minutes. The yield and stability of the frozen ears were evaluated at 45 and 90 days of frozen storage (-18 degrees C). The average commercial yield as frozen corn ear for all the hybrids was 54.2%. The industry has a similar value range of 48% to 54%. The ear size average was 21.57 cm, row number was 15, ear diameter 45.54 mm and the kernel corn deep was 8.57 mm. All these measurements were found not different from commercial values found for the industry. All corn samples evaluated showed good stability despites the frozen processing and storage. Hybrid 2038 ranked higher in quality.

  2. Influence of Stenocarpella maydis infected corn on the composition of corn kernel and its conversion into ethanol

    USDA-ARS?s Scientific Manuscript database

    Widespread epidemics of Stenocarpella ear rot (formerly Diplodia ear rot) have occurred throughout the central U.S. Corn Belt in recent years, but the influence of S. maydis infected grain on corn ethanol production is unknown. In this study, S. maydis infected ears of variety 'Heritage 4646' were h...

  3. 40 CFR 180.527 - Flufenacet, N-(4-fluorophenyl)-N-(1-methylethyl)-2-[[5-(trifluoromethyl)-1, 3, 4-thiadiazol-2-yl...

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... benzenamine moiety in or on the following commodities. Commodity Parts per million Cattle, kidney 0.05 Corn, field, forage 0.4 Corn, field, grain 0.05 Corn, field, stover 0.4 Corn, sweet, forage 0.45 Corn, sweet, kernel plus cob with husks removed 0.05 Corn, sweet, stover 0.30 Goat, kidney 0.05 Hog, kidney 0.05 Horse...

  4. 40 CFR 180.527 - Flufenacet, N-(4-fluorophenyl)-N-(1-methylethyl)-2-[[5-(trifluoromethyl)-1, 3, 4-thiadiazol-2-yl...

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... benzenamine moiety in or on the following commodities. Commodity Parts per million Cattle, kidney 0.05 Corn, field, forage 0.4 Corn, field, grain 0.05 Corn, field, stover 0.4 Corn, sweet, forage 0.45 Corn, sweet, kernel plus cob with husks removed 0.05 Corn, sweet, stover 0.30 Goat, kidney 0.05 Hog, kidney 0.05 Horse...

  5. 40 CFR 180.527 - Flufenacet, N-(4-fluorophenyl)-N-(1-methylethyl)-2-[[5-(trifluoromethyl)-1, 3, 4-thiadiazol-2-yl...

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... benzenamine moiety in or on the following commodities. Commodity Parts per million Cattle, kidney 0.05 Corn, field, forage 0.4 Corn, field, grain 0.05 Corn, field, stover 0.4 Corn, sweet, forage 0.45 Corn, sweet, kernel plus cob with husks removed 0.05 Corn, sweet, stover 0.30 Goat, kidney 0.05 Hog, kidney 0.05 Horse...

  6. Kernel compositions of glyphosate-tolerant and corn rootworm-protected MON 88017 sweet corn and insect-protected MON 89034 sweet corn are equivalent to that of conventional sweet corn (Zea mays).

    PubMed

    Curran, Kassie L; Festa, Adam R; Goddard, Scott D; Harrigan, George G; Taylor, Mary L

    2015-03-25

    Monsanto Co. has developed two sweet corn hybrids, MON 88017 and MON 89034, that contain biotechnology-derived (biotech) traits designed to enhance sustainability and improve agronomic practices. MON 88017 confers benefits of glyphosate tolerance and protection against corn rootworm. MON 89034 provides protection against European corn borer and other lepidopteran insect pests. The purpose of this assessment was to compare the kernel compositions of MON 88017 and MON 89034 sweet corn with that of a conventional control that has a genetic background similar to the biotech sweet corn but does not express the biotechnology-derived traits. The sweet corn samples were grown at five replicated sites in the United States during the 2010 growing season and the conventional hybrid and 17 reference hybrids were grown concurrently to provide an estimate of natural variability for all assessed components. The compositional analysis included proximates, fibers, amino acids, sugars, vitamins, minerals, and selected metabolites. Results highlighted that MON 88017 and MON 89034 sweet corns were compositionally equivalent to the conventional control and that levels of the components essential to the desired properties of sweet corn, such as sugars and vitamins, were more affected by growing environment than the biotech traits. In summary, the benefits of biotech traits can be incorporated into sweet corn with no adverse effects on nutritional quality.

  7. 40 CFR 180.330 - S-(2-(Ethylsulfinyl)ethyl) O,O-dimethyl phosphorothioate; tolerances for residues.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... Brussels sprouts 1.0 Cabbage 2.0 Cauliflower 1.0 Clover, forage 5.0 Clover, hay 10.0 Corn, sweet, forage 1.0 Corn, sweet, kernel plus cob with husks removed 0.5 Corn, sweet, stover 3.0 Cotton, undelinted...

  8. 40 CFR 180.330 - S-(2-(Ethylsulfinyl)ethyl) O,O-dimethyl phosphorothioate; tolerances for residues.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... Brussels sprouts 1.0 Cabbage 2.0 Cauliflower 1.0 Clover, forage 5.0 Clover, hay 10.0 Corn, sweet, forage 1.0 Corn, sweet, kernel plus cob with husks removed 0.5 Corn, sweet, stover 3.0 Cotton, undelinted...

  9. 40 CFR 180.330 - S-(2-(Ethylsulfinyl)ethyl) O,O-dimethyl phosphorothioate; tolerances for residues.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... Brussels sprouts 1.0 Cabbage 2.0 Cauliflower 1.0 Clover, forage 5.0 Clover, hay 10.0 Corn, sweet, forage 1.0 Corn, sweet, kernel plus cob with husks removed 0.5 Corn, sweet, stover 3.0 Cotton, undelinted...

  10. 40 CFR 180.330 - S-(2-(Ethylsulfinyl)ethyl) O,O-dimethyl phosphorothioate; tolerances for residues.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... Brussels sprouts 1.0 Cabbage 2.0 Cauliflower 1.0 Clover, forage 5.0 Clover, hay 10.0 Corn, sweet, forage 1.0 Corn, sweet, kernel plus cob with husks removed 0.5 Corn, sweet, stover 3.0 Cotton, undelinted...

  11. Anthocyanins and antioxidant activity in coloured waxy corn at different maturation stages

    USDA-ARS?s Scientific Manuscript database

    Concentrations of anthocyanins, phenolic compounds and antioxidant activities in kernels of 20 genotypes of waxy corn were investigated at two maturation stages, namely milky and mature. The levels of anthocyanins increased throughout the development of each genotype of corn, while phenolic compound...

  12. 40 CFR 180.612 - Topramezone; tolerances for residues.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... Parts per million Cattle, kidney 0.05 Cattle, liver 0.15 Corn, field, forage 0.05 Corn, field, grain 0... Corn, sweet, kernel plus cob with husks removed 0.01 Corn, sweet, stover 0.05 Goat, kidney 0.05 Goat, liver 0.15 Horse, kidney 0.05 Horse, liver 0.15 Sheep, kidney 0.05 Sheep, liver 0.15 (b) Section 18...

  13. 40 CFR 180.612 - Topramezone; tolerances for residues.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... Parts per million Cattle, kidney 0.05 Cattle, liver 0.15 Corn, field, forage 0.05 Corn, field, grain 0... Corn, sweet, kernel plus cob with husks removed 0.01 Corn, sweet, stover 0.05 Goat, kidney 0.05 Goat, liver 0.15 Horse, kidney 0.05 Horse, liver 0.15 Sheep, kidney 0.05 Sheep, liver 0.15 (b) Section 18...

  14. Reproductive sink of sweet corn in response to plant density and hybrid

    USDA-ARS?s Scientific Manuscript database

    Improvements in plant density tolerance have played an essential role in grain corn yield gains for ~80 years; however, plant density effects on sweet corn biomass allocation to the ear (the reproductive ‘sink’) is poorly quantified. Moreover, optimal plant densities for modern white-kernel shrunke...

  15. Importance of protein rich components in the emulsifying properties of corn fiber gum

    USDA-ARS?s Scientific Manuscript database

    Purified corn fiber gum (CFG-F) isolated from "fine" (kernel endosperm-derived) corn fiber that contained about 2% residual protein was extracted with 70% aqueous ethanol. The aqueous ethanol extract (AEE), which contained 19.5% of the total CFG, contained a high percentage of the proteinaceous ma...

  16. Polymorphism, population structure, and multivariate relationships among secondary traits in open-pollinated corn heterotic groups

    USDA-ARS?s Scientific Manuscript database

    Plant, ear and kernel traits directly or indirectly associated with grain yield in corn (Zea mays) were suggested as "secondary" traits to select for larger grain yield, especially in open-pollinated corn varieties (OPVs) and their hybrids (OPVhs). Thirty-four secondary traits, besides grain yield, ...

  17. Surgical removal of a tracheal foreign body from a whooping crane (Grus americana)

    USGS Publications Warehouse

    Howard, P.E.; Dein, F.J.; Langenberg, J.A.; Frischmeyer, K.J.; Brunson, D.

    1991-01-01

    The left wing of a whooping crane (Grus americana) was amputated for treatment of severe nonunion and malunion fractures of the radius and ulna. During the postoperative convalescent period, the bird aspirated a corn kernel and subsequently suffered episodic bouts of dyspnea. The bird was anesthetized with tiletamine-zolazepam. Attempts to deliver the kernel through the glottis with endoscopic instruments were unsuccessful. The corn kernel was retrieved via a tracheotomy incision. Endoscopy of the trachea 2 mo postoperatively showed complete healing of the tracheal incision. Mucosal integrity had been reestablished, and tracheal lumen diameter was not compromised. The bird continues in good health 2.5 yr after surgery, shows no sign of respiratory disease, and currently is in a captive breeding program.

  18. 40 CFR 180.626 - Prothioconazole; tolerances for residues.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... Beet, sugar, roots 0.25 Corn, sweet, kernel plus cob with husks removed 0.04 Grain, aspirated grain..., group 16, except sorghum, and rice; straw 5.0 Grain, cereal, group 15, except sweet corn, sorghum, and...

  19. 40 CFR 180.626 - Prothioconazole; tolerances for residues.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... Beet, sugar, roots 0.25 Corn, sweet, kernel plus cob with husks removed 0.04 Grain, aspirated grain..., group 16, except sorghum, and rice; straw 5.0 Grain, cereal, group 15, except sweet corn, sorghum, and...

  20. Physicochemical, Thermal, and Sensory Properties of Blue Corn (Zea Mays L.).

    PubMed

    Mutlu, Ceren; Arslan-Tontul, Sultan; Candal, Cihadiye; Kilic, Ozlem; Erbas, Mustafa

    2018-01-01

    The aim of this study was to investigate some physicochemical and sensory properties of blue corn cultivated in Turkey. The length and width of the cob with kernels, hectoliter, and 1000-kernel weight of blue corn were measured as 7.66, 2.02 mm, 84.40 kg/100 L, and 44.27 g, respectively. The gelatinization onset, peak, and end temperatures were measured as 61.12 °C, 64.35 °C, and 75.65 °C, respectively. The water activity, moisture content, total protein, lipid, and crude fiber contents of the blue corn sample were detected as 0.44, 9.39%, 13.13%, 4.30%, and 2.68%, respectively. Total starch and resistant starch contents of blue corn were determined as 63.94% and 8.89%, respectively. Also, total monomeric anthocyanin content and antioxidant capacity of blue corn were detected as 915.43 mg CGE/kg and 7.99 μmol TE/g, respectively. Additionally, the major fatty acids detected in blue corn samples were palmitic, stearic, oleic, and linoleic acids. Blue corn can be utilized in the production of enjoyable and healthier snacks, such as popcorn and chips, because of its color and high phenolic, anthocyanin, and fiber contents. © 2017 Institute of Food Technologists®.

  1. Influence of Stenocarpella maydis infected corn on the composition of corn kernel and its conversion into ethanol

    USDA-ARS?s Scientific Manuscript database

    Stenocarpella ear rot (formerly Diplodia ear rot) is resurfacing as a concern in the central United States Corn Belt. There are reports of some fields containing more than 50% mummified ears. Ears infected within two weeks of silking may be completely mummified with white to grayish brown mycelium c...

  2. 40 CFR 180.626 - Prothioconazole; tolerances for residues.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... Alfalfa, forage 0.02 Alfalfa, hay 0.02 Beet, sugar, roots 0.25 Corn, sweet kernel plus cob with husks... sweet corn and sorghum 0.35 Pea and bean, dried shelled, except soybean, subgroup 6C 0.9 Peanut 0.02...

  3. 40 CFR 180.626 - Prothioconazole; tolerances for residues.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... Alfalfa, forage 0.02 Alfalfa, hay 0.02 Beet, sugar, roots 0.25 Corn, sweet kernel plus cob with husks... sweet corn and sorghum 0.35 Pea and bean, dried shelled, except soybean, subgroup 6C 0.9 Peanut 0.02...

  4. Monitoring the environmental effects of CeO2 and ZnO nanoparticles through the life cycle of corn (Zea mays) plants and in situ μ-XRF mapping of nutrients in kernels.

    PubMed

    Zhao, Lijuan; Sun, Youping; Hernandez-Viezcas, Jose A; Hong, Jie; Majumdar, Sanghamitra; Niu, Genhua; Duarte-Gardea, Maria; Peralta-Videa, Jose R; Gardea-Torresdey, Jorge L

    2015-03-03

    Information about changes in physiological and agronomic parameters through the life cycle of plants exposed to engineered nanoparticles (NPs) is scarce. In this study, corn (Zea mays) plants were cultivated to full maturity in soil amended with either nCeO2 or nZnO at 0, 400, and 800 mg/kg. Gas exchange was monitored every 10 days, and at harvest, bioaccumulation of Ce and Zn in tissues was determined by ICP-OES/MS. The effects of NPs exposure on nutrient concentration and distribution in ears were also evaluated by ICP-OES and μ-XRF. Results showed that nCeO2 at both concentrations did not impact gas exchange in leaves at any growth stage, while nZnO at 800 mg/kg reduced net photosynthesis by 12%, stomatal conductance by 15%, and relative chlorophyll content by 10% at day 20. Yield was reduced by 38% with nCeO2 and by 49% with nZnO. Importantly, μ-XRF mapping showed that nCeO2 changed the allocation of calcium in kernels, compared to controls. In nCeO2 treated plants, Cu, K, Mn, and Zn were mainly localized at the insertion of kernels into cobs, but Ca and Fe were distributed in other parts of the kernels. Results showed that nCeO2 and nZnO reduced corn yield and altered quality of corn.

  5. Hyperspectral imaging system for whole corn ear surface inspection

    NASA Astrophysics Data System (ADS)

    Yao, Haibo; Kincaid, Russell; Hruska, Zuzana; Brown, Robert L.; Bhatnagar, Deepak; Cleveland, Thomas E.

    2013-05-01

    Aflatoxin is a mycotoxin produced mainly by Aspergillus flavus (A.flavus) and Aspergillus parasitiucus fungi that grow naturally in corn. Very serious health problems such as liver damage and lung cancer can result from exposure to high toxin levels in grain. Consequently, many countries have established strict guidelines for permissible levels in consumables. Conventional chemical-based analytical methods used to screen for aflatoxin such as thin-layer chromatography (TLC) and high performance liquid chromatography (HPLC) are time consuming, expensive, and require the destruction of samples as well as proper training for data interpretation. Thus, it has been a continuing effort within the research community to find a way to rapidly and non-destructively detect and possibly quantify aflatoxin contamination in corn. One of the more recent developments in this area is the use of spectral technology. Specifically, fluorescence hyperspectral imaging offers a potential rapid, and non-invasive method for contamination detection in corn infected with toxigenic A.flavus spores. The current hyperspectral image system is designed for scanning flat surfaces, which is suitable for imaging single or a group of corn kernels. In the case of a whole corn cob, it is preferred to be able to scan the circumference of the corn ear, appropriate for whole ear inspection. This paper discusses the development of a hyperspectral imaging system for whole corn ear imaging. The new instrument is based on a hyperspectral line scanner using a rotational stage to turn the corn ear.

  6. Production of astaxanthin from corn fiber as a value-added co-product of fuel ethanol fermentation

    USDA-ARS?s Scientific Manuscript database

    Five strains of the yeast Phaffia rhodozyma, NRRL Y-17268, NRRL Y-17270, ATCC 96594 (CBS 6938), ATCC 24202 (UCD 67-210), and ATCC 74219 (UBV-AX2) were tested for astaxanthin production using the major sugars derived from corn fiber, a byproduct from the wet milling of corn kernels that contains prim...

  7. Corn seeds as bioreactors for the production of phytase in the feed industry.

    PubMed

    Chen, Rumei; Zhang, Chunyi; Yao, Bin; Xue, Guangxing; Yang, Wenzhu; Zhou, Xiaojin; Zhang, Junmin; Sun, Cheng; Chen, Ping; Fan, Yunliu

    2013-05-20

    Corn seed is a major ingredient of animal feed worldwide. However, it contains phytate, a major phosphate storage form that is unavailable to monogastric animals like pigs and poultry. We report a transgenic corn with bioavailable phosphate, achieved by seed-specific overexpression of Aspergillus niger phytase, an enzyme catalyzing the release of phosphate from phytate. We obtained maximal phytase activity of 125 FTU/g kernels, 1000-fold above that of the wild type, with 1000 g of kernels containing up to 67 times the feed industry requirement. Enzymatic characterization of Zea mays recombinant phytase (ZmrPhy) showed it to be equivalent to yeast (Pichia pastoris) recombinant phytase (PprPhy), a commercially available phytase product. An animal feeding trial demonstrated that ZmrPhy had similar nutritional effects on broiler chickens to PprPhy in terms of reducing inorganic phosphorus addition to feed and phosphate excretion in animal manure. These results suggest that transgenic phytase corn can be used directly in the feed industry. Experiments were conducted to assess the food safety of the corn; the results demonstrated no difference versus regular corn. This is the first genetically modified corn officially issued with a biosafety certificate in China and has great potential in the animal feed industry. Copyright © 2013 Elsevier B.V. All rights reserved.

  8. 7 CFR 810.2202 - Definition of other terms.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ..., or otherwise materially damaged. (d) Defects. Damaged kernels, foreign material, and shrunken and.... All matter other than wheat that remains in the sample after the removal of dockage and shrunken and... shrunken and broken kernels. (h) Other grains. Barley, corn, cultivated buckwheat, einkorn, emmer, flaxseed...

  9. 7 CFR 810.2202 - Definition of other terms.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ..., or otherwise materially damaged. (d) Defects. Damaged kernels, foreign material, and shrunken and.... All matter other than wheat that remains in the sample after the removal of dockage and shrunken and... shrunken and broken kernels. (h) Other grains. Barley, corn, cultivated buckwheat, einkorn, emmer, flaxseed...

  10. 7 CFR 810.2202 - Definition of other terms.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ..., or otherwise materially damaged. (d) Defects. Damaged kernels, foreign material, and shrunken and.... All matter other than wheat that remains in the sample after the removal of dockage and shrunken and... shrunken and broken kernels. (h) Other grains. Barley, corn, cultivated buckwheat, einkorn, emmer, flaxseed...

  11. 7 CFR 810.2202 - Definition of other terms.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ..., or otherwise materially damaged. (d) Defects. Damaged kernels, foreign material, and shrunken and.... All matter other than wheat that remains in the sample after the removal of dockage and shrunken and... shrunken and broken kernels. (h) Other grains. Barley, corn, cultivated buckwheat, einkorn, emmer, flaxseed...

  12. 40 CFR 180.182 - Endosulfan; tolerances for residues.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... 0.3 12/31/14 Corn, sweet, forage 12.0 12/31/14 Corn, sweet, kernel plus cob with husks removed 0.2 12/31/14 Corn, sweet, stover 14.0 12/31/14 Pepper 2.0 12/31/14 Potato 0.2 12/31/14 Pumpkin 1.0 12/31... plus cob with husks removed 0.2 7/31/15 Corn, sweet, stover 14.0 7/31/15 Pepper 2.0 7/31/15 Potato 0.2...

  13. 40 CFR 180.182 - Endosulfan; tolerances for residues.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... 0.3 12/31/14 Corn, sweet, forage 12.0 12/31/14 Corn, sweet, kernel plus cob with husks removed 0.2 12/31/14 Corn, sweet, stover 14.0 12/31/14 Pepper 2.0 12/31/14 Potato 0.2 12/31/14 Pumpkin 1.0 12/31... plus cob with husks removed 0.2 7/31/15 Corn, sweet, stover 14.0 7/31/15 Pepper 2.0 7/31/15 Potato 0.2...

  14. 40 CFR 180.626 - Prothioconazole; tolerances for residues.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ..., subgroup 13-07H 0.20 Bushberry, subgroup 13-07B 2.0 Corn, sweet kernel plus cob with husks removed 0.04... sweet corn and sorghum 0.35 Pea and bean, dried shelled, except soybean, subgroup 6C 0.9 Peanut 0.02...

  15. 40 CFR 180.254 - Carbofuran; tolerances for residues.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... than 5 ppm are carbamates) 25 12/31/09 Corn, sweet, kernel plus cob with husks removed (of which no... (of which no more than 1 ppm is carbamates) 2 12/31/09 Coffee, bean, green 0.1 12/31/09 Corn, field, forage (of which no more than 5 ppm are carbamates) 25 12/31/09 Corn, field, grain (of which no more than...

  16. 40 CFR 180.254 - Carbofuran; tolerances for residues.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... than 5 ppm are carbamates) 25 12/31/09 Corn, sweet, kernel plus cob with husks removed (of which no... (of which no more than 1 ppm is carbamates) 2 12/31/09 Coffee, bean, green 0.1 12/31/09 Corn, field, forage (of which no more than 5 ppm are carbamates) 25 12/31/09 Corn, field, grain (of which no more than...

  17. 40 CFR 180.254 - Carbofuran; tolerances for residues.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... than 5 ppm are carbamates) 25 12/31/09 Corn, sweet, kernel plus cob with husks removed (of which no... (of which no more than 1 ppm is carbamates) 2 12/31/09 Coffee, bean, green 0.1 12/31/09 Corn, field, forage (of which no more than 5 ppm are carbamates) 25 12/31/09 Corn, field, grain (of which no more than...

  18. 40 CFR 180.254 - Carbofuran; tolerances for residues.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... than 5 ppm are carbamates) 25 12/31/09 Corn, sweet, kernel plus cob with husks removed (of which no... (of which no more than 1 ppm is carbamates) 2 12/31/09 Coffee, bean, green 0.1 12/31/09 Corn, field, forage (of which no more than 5 ppm are carbamates) 25 12/31/09 Corn, field, grain (of which no more than...

  19. 40 CFR 180.515 - Carfentrazone-ethyl; tolerances for residues.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ..., green 0.10 Corn, field, forage 0.20 Corn, sweet, forage 0.20 Corn, sweet, kernel plus cob with husk... Shellfish 0.30 Sorghum, forage 0.20 Sorghum, grain 0.25 Sorghum, sweet 0.10 Soursop 0.10 Soybean, seed 0.10 Spanish lime 0.10 Star apple 0.10 Starfruit 0.10 Stevia 0.10 Strawberry 0.10 Strawberrypear 0.10 Sugar...

  20. Biomass as Feedstock for A Bioenergy and Bioproducts Industry: The Technical Feasibility of a Billion-Ton Annual Supply

    DTIC Science & Technology

    2005-04-01

    Approximately 20 percent of the corn kernel is not utilized in the production of ethanol and other starch based products, such as sweeteners and high - fructose ...under high yields. The amount of corn and soybeans available for ethanol, biodiesel or other bioproducts was calculated by first subtracting amounts...because of increasing demand for animal feed. This evaluation assumes that corn exports rise by another 10 percent in the high corn yield scenarios

  1. Gene Expression Profiles in Developing Corn Kernels in Response to Drought Stress

    USDA-ARS?s Scientific Manuscript database

    Preharvest aflatoxin contamination of corn is aggravated by abiotic stress and the hot and humid weather patterns along with suboptimal summer rainfall favor the development. Drought stress is a major factor known to contribute to preharvest aflatoxin contamination. The gene expression studies were ...

  2. Multiple insect resistance in 59 commmerical corn hybrids - 2017

    USDA-ARS?s Scientific Manuscript database

    Commercial corn hybrids were screened for ear- and kernel-feeding insect resistance under field conditions at Tifton, GA. Nine hybrids were rated Very Good (VG), the highest rating for multiple insect resistance in 2017 (see following table). Thirteen were Good (G), 19 were Fair (F), and 13 were Poo...

  3. Multiple insect resistance in 50 commercial corn hybrids, 2016

    USDA-ARS?s Scientific Manuscript database

    Commercial corn hybrids were screened for ear- and kernel-feeding insect resistance under field conditions at Tifton, GA. Nine hybrids were rated Very Good (VG), the highest rating for multiple insect resistance in 2016 (see following table). Thirteen were Good (G), 19 were Fair (F), and 13 were Poo...

  4. Co-inoculation of aflatoxigenic and non-aflatoxigenic strains of Aspergillus flavus to study fungal invasion, colonization, and competition in maize kernels

    PubMed Central

    Hruska, Zuzana; Rajasekaran, Kanniah; Yao, Haibo; Kincaid, Russell; Darlington, Dawn; Brown, Robert L.; Bhatnagar, Deepak; Cleveland, Thomas E.

    2014-01-01

    A currently utilized pre-harvest biocontrol method involves field inoculations with non-aflatoxigenic Aspergillus flavus strains, a tactic shown to strategically suppress native aflatoxin-producing strains and effectively decrease aflatoxin contamination in corn. The present in situ study focuses on tracking the invasion and colonization of an aflatoxigenic A. flavus strain (AF70), labeled with green fluorescent protein (GFP), in the presence of a non-aflatoxigenic A. flavus biocontrol strain (AF36), to better understand the competitive interaction between these two strains in seed tissue of corn (Zea mays). Corn kernels that had been co-inoculated with GFP-labeled AF70 and wild-type AF36 were cross-sectioned and observed under UV and blue light to determine the outcome of competition between these strains. After imaging, all kernels were analyzed for aflatoxin levels. There appeared to be a population difference between the co-inoculated AF70-GFP+AF36 and the individual AF70-GFP tests, both visually and with pixel count analysis. The GFP allowed us to observe that AF70-GFP inside the kernels was suppressed up to 82% when co-inoculated with AF36 indicating that AF36 inhibited progression of AF70-GFP. This was in agreement with images taken of whole kernels where AF36 exhibited a more robust external growth compared to AF70-GFP. The suppressed growth of AF70-GFP was reflected in a corresponding (upto 73%) suppression in aflatoxin levels. Our results indicate that the decrease in aflatoxin production correlated with population depression of the aflatoxigenic fungus by the biocontrol strain supporting the theory of competitive exclusion through robust propagation and fast colonization by the non-aflatoxigenic fungus. PMID:24734028

  5. Co-inoculation of aflatoxigenic and non-aflatoxigenic strains of Aspergillus flavus to study fungal invasion, colonization, and competition in maize kernels.

    PubMed

    Hruska, Zuzana; Rajasekaran, Kanniah; Yao, Haibo; Kincaid, Russell; Darlington, Dawn; Brown, Robert L; Bhatnagar, Deepak; Cleveland, Thomas E

    2014-01-01

    A currently utilized pre-harvest biocontrol method involves field inoculations with non-aflatoxigenic Aspergillus flavus strains, a tactic shown to strategically suppress native aflatoxin-producing strains and effectively decrease aflatoxin contamination in corn. The present in situ study focuses on tracking the invasion and colonization of an aflatoxigenic A. flavus strain (AF70), labeled with green fluorescent protein (GFP), in the presence of a non-aflatoxigenic A. flavus biocontrol strain (AF36), to better understand the competitive interaction between these two strains in seed tissue of corn (Zea mays). Corn kernels that had been co-inoculated with GFP-labeled AF70 and wild-type AF36 were cross-sectioned and observed under UV and blue light to determine the outcome of competition between these strains. After imaging, all kernels were analyzed for aflatoxin levels. There appeared to be a population difference between the co-inoculated AF70-GFP+AF36 and the individual AF70-GFP tests, both visually and with pixel count analysis. The GFP allowed us to observe that AF70-GFP inside the kernels was suppressed up to 82% when co-inoculated with AF36 indicating that AF36 inhibited progression of AF70-GFP. This was in agreement with images taken of whole kernels where AF36 exhibited a more robust external growth compared to AF70-GFP. The suppressed growth of AF70-GFP was reflected in a corresponding (upto 73%) suppression in aflatoxin levels. Our results indicate that the decrease in aflatoxin production correlated with population depression of the aflatoxigenic fungus by the biocontrol strain supporting the theory of competitive exclusion through robust propagation and fast colonization by the non-aflatoxigenic fungus.

  6. Reduction of aflatoxins, cyclopiazonic acid and fumonisins in corn by biocontrol strains of non-aflatoxigenic Aspergillus flavus

    USDA-ARS?s Scientific Manuscript database

    A series of field studies in corn (maize) evaluated the ability of non-aflatoxigenic biocontrol strains of Aspergillus flavus to reduce, through competitive exclusion, production in kernels of aflatoxins and cyclopiazonic acid (CPA) by A. flavus and fumonisins by Fusarium verticillioides. The abili...

  7. Life history attributes of Indian meal moth (Lepidoptera: Pyralidae) and Angoumois grain moth (Lepidoptera: Gelechiidae) reared on transgenic corn kernels.

    PubMed

    Sedlacek, J D; Komaravalli, S R; Hanley, A M; Price, B D; Davis, P M

    2001-04-01

    The Indian meal moth, Plodia interpunctella (Hübner), and Angoumois grain moth, Sitotroga cerealella (Olivier), are two globally distributed stored-grain pests. Laboratory experiments were conducted to examine the impact that corn (Zea mays L.) kernels (i.e., grain) of some Bacillus thuringiensis Berliner (Bt) corn hybrids containing CrylAb Bt delta-endotoxin have on life history attributes of Indian meal moth and Angoumois grain moth. Stored grain is at risk to damage from Indian meal moth and Angoumois grain moth; therefore, Bt corn may provide a means of protecting this commodity from damage. Thus, the objective of this research was to quantify the effects of transgenic corn seed containing CrylAb delta-endotoxin on Indian meal moth and Angoumois grain moth survival, fecundity, and duration of development. Experiments with Bt grain, non-Bt isolines, and non-Bt grain were conducted in environmental chambers at 27 +/- 1 degrees C and > or = 60% RH in continuous dark. Fifty eggs were placed in ventilated pint jars containing 170 g of cracked or whole corn for the Indian meal moth and Angoumois grain moth, respectively. Emergence and fecundity were observed for 5 wk. Emergence and fecundity of Indian meal moth and emergence of Angoumois grain moth were significantly lower for individuals reared on P33V08 and N6800Bt, MON 810 and Bt-11 transformed hybrids, respectively, than on their non-Bt transformed isolines. Longer developmental times were observed for Indian meal moth reared on P33V08 and N6800Bt than their non-Bt-transformed isolines. These results indicate that MON 810 and Bt-11 CrylAb delta-endotoxin-containing kernels reduce laboratory populations of Indian meal moth and Angoumois grain moth. Thus, storing Bt-transformed grain is a management tactic that warrants bin scale testing and may effectively reduce Indian meal moth and Angoumois grain moth populations in grain without application of synthetic chemicals or pesticides.

  8. Evaluation of resistance to aflatoxin contamination in kernels of maize genotypes using a GFP-expressing Aspergillus flavus strain

    USDA-ARS?s Scientific Manuscript database

    Evaluation of resistance or susceptibility of corn inbreds to infection by Aspergillus flavus was evaluated by a kernel screening assay. A GFP-expressing strain of A. flavus was used to accomplish this study to measure fungal spread and aflatoxin levels in real time. Among the four inbreds tested, ...

  9. Leaf application of a sprayable bioplastic-based formulation of biocontrol Aspergillus flavus strains for reduction of aflatoxins in corn.

    PubMed

    Accinelli, Cesare; Abbas, Hamed K; Vicari, Alberto; Shier, W Thomas

    2016-08-01

    Applying non-aflatoxin-producing Aspergillus flavus isolates to the soil has been shown to be effective in reducing aflatoxin levels in harvested crops, including peanuts, cotton and corn. The aim of this study was to evaluate the possibility of controlling aflatoxin contamination using a novel sprayable formulation consisting of a partially gelatinized starch-based bioplastic dispersion embedded with spores of biocontrol A. flavus strains, which is applied to the leaf surfaces of corn plants. The formulation was shown to be adherent, resulting in colonization of leaf surfaces with the biocontrol strain of A. flavus, and to reduce aflatoxin contamination of harvested kernels by up to 80% in Northern Italy and by up to 89% in the Mississippi Delta. The percentage of aflatoxin-producing isolates in the soil reservoir under leaf-treated corn was not significantly changed, even when the soil was amended with additional A. flavus as a model of changes to the soil reservoir that occur in no-till agriculture. This study indicated that it is not necessary to treat the soil reservoir in order to achieve effective biocontrol of aflatoxin contamination in kernel corn. Spraying this novel bioplastic-based formulation to leaves can be an effective alternative in the biocontrol of A. flavus in corn. © 2015 Society of Chemical Industry. © 2015 Society of Chemical Industry.

  10. Lack of Host Specialization in Aspergillus flavus

    PubMed Central

    St. Leger, Raymond J.; Screen, Steven E.; Shams-Pirzadeh, Bijan

    2000-01-01

    Aspergillus spp. cause disease in a broad range of organisms, but it is unknown if strains are specialized for particular hosts. We evaluated isolates of Aspergillus flavus, Aspergillus fumigatus, and Aspergillus nidulans for their ability to infect bean leaves, corn kernels, and insects (Galleria mellonella). Strains of A. flavus did not affect nonwounded bean leaves, corn kernels, or insects at 22°C, but they killed insects following hemocoelic challenge and caused symptoms ranging from moderate to severe in corn kernels and bean leaves injured during inoculation. The pectinase P2c, implicated in aggressive colonization of cotton bolls, is produced by most A. flavus isolates, but its absence did not prevent colonization of bean leaves. Proteases have been implicated in colonization of animal hosts. All A. flavus strains produced very similar patterns of protease isozymes when cultured on horse lung polymers. Quantitative differences in protease levels did not correlate with the ability to colonize insects. In contrast to A. flavus, strains of A. nidulans and A. fumigatus could not invade living insect or plant tissues or resist digestion by insect hemocytes. Our results indicate that A. flavus has parasitic attributes that are lacking in A. fumigatus and A. nidulans but that individual strains of A. flavus are not specialized to particular hosts. PMID:10618242

  11. Fluorescence imaging spectroscopy (FIS) for comparing spectra from corn ears naturally and artificially infected with aflatoxin producing fungus

    USDA-ARS?s Scientific Manuscript database

    In an effort to address the aflatoxin problem in grain, the current study assessed the spectral differences of aflatoxin production in kernels from a cornfield inoculated with spores from two different strains of toxigenic Aspergillus flavus. Aflatoxin production in corn from the same field due to n...

  12. Effect of oil content and kernel processing of corn silage on digestibility and milk production by dairy cows.

    PubMed

    Weiss, W P; Wyatt, D J

    2000-02-01

    Corn silages were produced from a high oil corn hybrid and from its conventional hybrid counterpart and were harvested with a standard silage chopper or a chopper equipped with a kernel processing unit. High oil silages had higher concentrations of fatty acids (5.5 vs. 3.4% of dry matter) and crude protein (8.4 vs. 7.5% of dry matter) than the conventional hybrid. Processed silage had larger particle size than unprocessed silage, but more starch was found in small particles for processed silage. Dry matter intake was not influenced by treatment (18.4 kg/d), but yield of fat-corrected milk (23.9 vs. 22.6 kg/d) was increased by feeding high oil silage. Overall, processing corn silage did not affect milk production, but cows fed processed conventional silage tended to produce more milk than did cows fed unprocessed conventional silage. Milk protein percent, but not yield, was reduced with high oil silage. Milk fat percent, but not yield, was higher with processed silage. Overall, processed silage had higher starch digestibility, but the response was much greater for the conventional silage hybrid. The concentration of total digestible nutrients (TDN) tended to be higher for diets with high oil silage (71.6 vs. 69.9%) and tended to be higher for processed silage than unprocessed silage (71.7 vs. 69.8%), but an interaction between variety and processing was observed. Processing conventional corn silage increased TDN to values similar to high oil corn silage but processing high oil corn silage did not influence TDN.

  13. Increasing the Size of a Piece of Popcorn

    NASA Astrophysics Data System (ADS)

    Quinn, Paul; Hong, Daniel C.; Both, Joseph

    2003-03-01

    Popcorn is an extremely popular snack food in the world today. Thermodynamics can be used to analyze how popcorn is produced. By treating the popping mechanism of the corn as a thermodynamic expansion, a method of increasing the volume or size of a kernel of popcorn can be studied. By lowering the pressure surrounding the unpopped kernel, one can use a thermodynamic argument to show that the expanded volume of the kernel when it pops must increase. In this project, a variety of experiments are run to test the validity of this theory. The results show that there is a significant increase in the average kernel size when the pressure of the surroundings is reduced.

  14. Increasing the size of a piece of popcorn

    NASA Astrophysics Data System (ADS)

    Quinn, Paul V.; Hong, Daniel C.; Both, J. A.

    2005-08-01

    Popcorn is an extremely popular snack food in the world today. Thermodynamics can be used to analyze how popcorn is produced. By treating the popping mechanism of the corn as a thermodynamic expansion, a method of increasing the volume or size of a kernel of popcorn can be studied. By lowering the pressure surrounding the unpopped kernel, one can use a thermodynamic argument to show that the expanded volume of the kernel when it pops must increase. In this project, a variety of experiments are run to test the qualitative validity of this theory. The results show that there is a significant increase in the average kernel size when the pressure of the surroundings is reduced.

  15. Molecular mapping of QTLs for resistance to Gibberella ear rot, in corn, caused by Fusarium graminearum.

    PubMed

    Ali, M Liakat; Taylor, Jeff H; Jie, Liu; Sun, Genlou; William, Manilal; Kasha, Ken J; Reid, Lana M; Pauls, K Peter

    2005-06-01

    Gibberella ear rot, caused by the fungus Fusarium graminearum Schwabe, is a serious disease of corn (Zea mays) grown in northern climates. Infected corn is lower yielding and contains toxins that are dangerous to livestock and humans. Resistance to ear rot in corn is quantitative, specific to the mode of fungal entry (silk channels or kernel wounds), and highly influenced by the environment. Evaluations of ear rot resistance are complex and subjective; and they need to be repeated over several years. All of these factors have hampered attempts to develop F. graminearum resistant corn varieties. The aim of this study was to identify molecular markers linked to the genes for resistance to Gibberella ear rot. A recombinant inbred (RI) population, produced from a cross between a Gibberella ear rot resistant line (CO387) and a susceptible line (CG62), was field-inoculated and scored for Gibberella ear rot symptoms in the F4, F6, and F7 generations. The distributions of disease scores were continuous, indicating that resistance is probably conditioned by multiple loci. A molecular linkage map, based on segregation in the F5 RI population, contained 162 markers distributed over 10 linkage groups and had a total length of 2237 cM with an average distance between markers of 13.8 cM. Composite interval mapping identified 11 quantitative trait loci (QTLs) for Gibberella ear rot resistance following silk inoculation and 18 QTLs following kernel inoculation in 4 environments that accounted for 6.7%-35% of the total phenotypic variation. Only 2 QTLs (on linkage group 7) were detected in more than 1 test for silk resistance, and only 1 QTL (on linkage group 5) was detected in more than 1 test for kernel resistance, confirming the strong influence of the environment on these traits. The majority of the favorable alleles were derived from the resistant parent (CO387). The germplasm and markers for QTLs with significant phenotypic effects may be useful for marker-assisted selection to incorporate Gibberella ear rot resistance into commercial corn cultivars.

  16. Utilizing protein-lean coproducts from corn containing recombinant pharmaceutical proteins for ethanol production.

    PubMed

    Paraman, Ilankovan; Moeller, Lorena; Scott, M Paul; Wang, Kan; Glatz, Charles E; Johnson, Lawrence A

    2010-10-13

    Protein-lean fractions of corn (maize) containing recombinant (r) pharmaceutical proteins were evaluated as a potential feedstock to produce fuel ethanol. The levels of residual r-proteins in the coproduct, distillers dry grains with solubles (DDGS), were determined. Transgenic corn lines containing recombinant green fluorescence protein (r-GFP) and a recombinant subunit vaccine of Escherichia coli enterotoxin (r-LTB), primarily expressed in endosperm, and another two corn lines containing recombinant human collagen (r-CIα1) and r-GFP, primarily expressed in germ, were used as model systems. The kernels were either ground and used for fermentation or dry fractionated to recover germ-rich fractions prior to grinding for fermentation. The finished beers of whole ground kernels and r-protein-spent endosperm solids contained 127-139 and 138-155 g/L ethanol concentrations, respectively. The ethanol levels did not differ among transgenic and normal corn feedstocks, indicating the residual r-proteins did not negatively affect ethanol production. r-Protein extraction and germ removal also did not negatively affect fermentation of the remaining mass. Most r-proteins were inactivated during the mashing process used to prepare corn for fermentation. No functionally active r-GFP or r-LTB proteins were found after fermentation of the r-protein-spent solids; however, a small quantity of residual r-CIα1 was detected in DDGS, indicating that the safety of DDGS produced from transgenic grain for r-protein production needs to be evaluated for each event. Protease treatment during fermentation completely hydrolyzed the residual r-CIα1, and no residual r-proteins were detectable in DDGS.

  17. New Estimates of Land Use Intensity of Potential Bioethanol Production in the U.S.A.

    NASA Astrophysics Data System (ADS)

    Kheshgi, H. S.; Song, Y.; Torkamani, S.; Jain, A. K.

    2016-12-01

    We estimate potential bioethanol land use intensity (the inverse of potential bioethanol yield per hectare) across the United States by modeling crop yields and conversion to bioethanol (via a fermentation pathway), based on crop field studies and conversion technology analyses. We apply the process-based land surface model, the Integrated Science Assessment model (ISAM), to estimate the potential yield of four crops - corn, Miscanthus, and two variants of switchgrass (Cave-in-Rock and Alamo) - across the U.S.A. landscape for the 14-year period from 1999 through 2012, for the case with fertilizer application but without irrigation. We estimate bioethanol yield based on recent experience for corn bioethanol production from corn kernel, and current cellulosic bioethanol process design specifications under the assumption of the maximum practical harvest fraction for the energy grasses (Miscanthus and switchgrasses) and a moderate (30%) harvest fraction of corn stover. We find that each of four crops included has regions where that crop is estimated to have the lowest land use intensity (highest potential bioethanol yield per hectare). We find that minimizing potential land use intensity by including both corn and the energy grasses only improves incrementally to that of corn (using both harvested kernel and stover for bioethanol). Bioethanol land use intensity is one fundamental factor influencing the desirability of biofuels, but is not the only one; others factors include economics, competition with food production and land use, water and climate, nitrogen runoff, life-cycle emissions, and the pace of crop and technology improvement into the future.

  18. Electrochemical Immunosensor for the Detection of Aflatoxin B₁ in Palm Kernel Cake and Feed Samples.

    PubMed

    Azri, Farah Asilah; Selamat, Jinap; Sukor, Rashidah

    2017-11-30

    Palm kernel cake (PKC) is the solid residue following oil extraction of palm kernels and useful to fatten animals either as a single feed with only minerals and vitamins supplementation, or mixed with other feedstuffs such as corn kernels or soy beans. The occurrence of mycotoxins (aflatoxins, ochratoxins, zearalenone, and fumonisins) in feed samples affects the animal's health and also serves as a secondary contamination to humans via consumption of eggs, milk and meats. Of these, aflatoxin B₁ (AFB₁) is the most toxically potent and a confirmed carcinogen to both humans and animals. Methods such as High Performance Liquid Chromatography (HPLC) and Liquid Chromatography-Mass Spectrometry (LC-MS/MS) are common in the determination of mycotoxins. However, these methods usually require sample pre-treatment, extensive cleanup and skilled operator. Therefore, in the present work, a rapid method of electrochemical immunosensor for the detection of AFB₁ was developed based on an indirect competitive enzyme-linked immunosorbent assay (ELISA). Multi-walled carbon nanotubes (MWCNT) and chitosan (CS) were used as the electrode modifier for signal enhancement. N -ethyl- N '-(3-dimethylaminopropyl)-carbodiimide (EDC) and N -hydroxysuccinimide (NHS) activated the carboxyl groups at the surface of nanocomposite for the attachment of AFB₁-BSA antigen by covalent bonding. An indirect competitive reaction occurred between AFB₁-BSA and free AFB₁ for the binding site of a fixed amount of anti-AFB₁ antibody. A catalytic signal based on horseradish peroxidase (HRP) in the presence of hydrogen peroxide (H₂O₂) and 3,3',5,5'-tetramethylbenzidine (TMB) mediator was observed as a result of attachment of the secondary antibody to the immunoassay system. As a result, the reduction peak of TMB (Ox) was measured by using differential pulse voltammetry (DPV) analysis. Based on the results, the electrochemical surface area was increased from 0.396 cm² to 1.298 cm² due to the electrode modification with MWCNT/CS. At the optimal conditions, the working range of the electrochemical immunosensor was from 0.0001 to 10 ng/mL with limit of detection of 0.1 pg/mL. Good recoveries were obtained for the detection of spiked feed samples (PKC, corn kernels, soy beans). The developed method could be used for the screening of AFB₁ in real samples.

  19. Corn silage from corn treated with foliar fungicide and performance of Holstein cows.

    PubMed

    Haerr, K J; Lopes, N M; Pereira, M N; Fellows, G M; Cardoso, F C

    2015-12-01

    Foliar fungicide application to corn plants is used in corn aimed for corn silage in the dairy industry, but questions regarding frequency of application and its effect on corn silage quality and feed conversion when fed to dairy cows remain prevalent. The objective of this study was to evaluate the effects of various foliar fungicide applications to corn on dry matter intake (DMI), milk production, and milk composition when fed to dairy cows. Sixty-four Holstein cows with parity 2.5±1.5, 653±80kg of body weight, and 161±51d in milk were blocked and randomly assigned to 1 of 4 corn silage treatments (total mixed ration with 35% of the dry matter as corn silage). Treatments were as follows: control (CON), corn silage with no applications of foliar fungicide; treatment 1 (1X), corn silage from corn that received 1 application of pyraclostrobin (PYR) foliar fungicide (Headline; BASF Corp.) at corn vegetative stage 5; treatment 2 (2X), corn silage from corn that received the same application as 1X plus another application of a mixture of PYR and metconazole (Headline AMP; BASF Corp.) at corn reproductive stage 1 ("silking"); and treatment 3 (3X), corn silage from corn that received the same applications as 2X as well as a third application of PYR and metconazole at reproductive stage 3 ("milky kernel"). Corn was harvested at about 32% dry matter and 3/4 milk line stage of kernel development and ensiled for 200d. Treatments were fed to cows for 5wk, with the last week being used for statistical inferences. Week -1 was used as a covariate in the statistical analysis. Dry matter intake tended to be lower for cows fed corn silage treated with fungicide than CON (23.8, 23.0, 19.5, and 21.3kg for CON, 1X, 2X, and 3X, respectively). A linear treatment effect for DMI was observed, with DMI decreasing as foliar fungicide applications increased. Treatments CON, 1X, 2X, and 3X did not differ for milk yield (34.5, 34.5, 34.2, and 34.4kg/d, respectively); however, a trend for increased feed conversion represented by fat-corrected milk/DMI (1.65 vs. 1.47) and energy-corrected milk/DMI (1.60 vs. 1.43) was noted for cows fed corn silage with fungicide compared with CON. In conclusion, cows receiving corn silage treated with foliar fungicide had better conversion of feed dry matter to milk than those receiving CON silage. Copyright © 2015 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

  20. Nutritional value of high fiber co-products from the copra, palm kernel, and rice industries in diets fed to pigs.

    PubMed

    Stein, Hans Henrik; Casas, Gloria Amparo; Abelilla, Jerubella Jerusalem; Liu, Yanhong; Sulabo, Rommel Casilda

    2015-01-01

    High fiber co-products from the copra and palm kernel industries are by-products of the production of coconut oil and palm kernel oil. The co-products include copra meal, copra expellers, palm kernel meal, and palm kernel expellers. All 4 ingredients are very high in fiber and the energy value is relatively low when fed to pigs. The protein concentration is between 14 and 22 % and the protein has a low biological value and a very high Arg:Lys ratio. Digestibility of most amino acids is less than in soybean meal but close to that in corn. However, the digestibility of Lys is sometimes low due to Maillard reactions that are initiated due to overheating during drying. Copra and palm kernel ingredients contain 0.5 to 0.6 % P. Most of the P in palm kernel meal and palm kernel expellers is bound to phytate, but in copra products less than one third of the P is bound to phytate. The digestibility of P is, therefore, greater in copra meal and copra expellers than in palm kernel ingredients. Inclusion of copra meal should be less than 15 % in diets fed to weanling pigs and less than 25 % in diets for growing-finishing pigs. Palm kernel meal may be included by 15 % in diets for weanling pigs and 25 % in diets for growing and finishing pigs. Rice bran contains the pericarp and aleurone layers of brown rice that is removed before polished rice is produced. Rice bran contains approximately 25 % neutral detergent fiber and 25 to 30 % starch. Rice bran has a greater concentration of P than most other plant ingredients, but 75 to 90 % of the P is bound in phytate. Inclusion of microbial phytase in the diets is, therefore, necessary if rice bran is used. Rice bran may contain 15 to 24 % fat, but it may also have been defatted in which case the fat concentration is less than 5 %. Concentrations of digestible energy (DE) and metabolizable energy (ME) are slightly less in full fat rice bran than in corn, but defatted rice bran contains less than 75 % of the DE and ME in corn. The concentration of crude protein is 15 to 18 % in rice bran and the protein has a high biological value and most amino acids are well digested by pigs. Inclusion of rice bran in diets fed to pigs has yielded variable results and based on current research it is recommended that inclusion levels are less than 25 to 30 % in diets for growing-finishing pigs, and less than 20 % in diets for weanling pigs. However, there is a need for additional research to determine the inclusion rates that may be used for both full fat and defatted rice bran.

  1. Demonstrating Natural Selection

    ERIC Educational Resources Information Center

    Hinds, David S.; Amundson, John C.

    1975-01-01

    Describes laboratory exercises with chickens selecting their food from dyed and natural corn kernels as a method of demonstrating natural selection. The procedure is based on the fact that organisms that blend into their surroundings escape predation. (BR)

  2. Resistance to Spodoptera frugiperda (Lepidoptera: Noctuidae) and Euxesta stigmatias (Diptera: Ulidiidae) in sweet corn derived from exogenous and endogenous genetic systems.

    PubMed

    Nuessly, G S; Scully, B T; Hentz, M G; Beiriger, R; Snook, M E; Widstrom, N W

    2007-12-01

    Field trials using Spodoptera frugiperda (J. E. Smith) (Lepidoptera: Noctuidae) and Euxesta stigmatias Loew (Diptera: Ulidiidae) were conducted to evaluate resistance and potential damage interactions between these two primary corn, Zea mays L., pests against Lepidoptera-resistant corn varieties derived from both endogenous and exogenous sources. The endogenous source of resistance was maysin, a C-glycosyl flavone produced in high concentrations in varieties 'Zapalote Chico 2451' and 'Zapalote Chico sh2'. The exogenous resistance source was the Bacillus thuringiensis (Bt)11 gene that expresses Cry1A(b) insecticidal protein found in 'Attribute GSS-0966'. Damage by the two pests was compared among these resistant varieties and the susceptible 'Primetime'. Single-species tests determined that the Zapalote Chico varieties and GSS-0966 effectively reduced S. frugiperda larval damage compared with Primetime. E. stigmatias larval damage was less in the Zapalote Chico varieties than the other varieties in single-species tests. E. stigmatias damage was greater on S. frugiperda-infested versus S. frugiperda-excluded ears. Ears with S. frugiperda damage to husk, silk and kernels had greater E. stigmatias damage than ears with less S. frugiperda damage. Reversed phase high-performance liquid chromatography analysis of nonpollinated corn silk collected from field plots determined that isoorientin, maysin, and apimaysin plus 3'-methoxymaysin concentrations followed the order Zapalote Chico sh2 > Zapalote Chico 2451 > Attribute GSS-0966 = Primetime. Chlorogenic acid concentrations were greatest in Zapalote Chico 2451. The two high maysin Zapalote Chico varieties did as well against fall armyworm as the Bt-enhanced GSS-0966, and they outperformed GSS-0966 against E. stigmatias.

  3. 10. VIEW OF BASEMENT, LOOKING NORTHEAST. AT LEFT CENTER IS ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    10. VIEW OF BASEMENT, LOOKING NORTHEAST. AT LEFT CENTER IS A 'BISON' CORN CRACKER (Wolf Co., Champ, Pennsylvania), DESIGNED TO CRACK KERNEL CORN. AT LEFT IS A 'EUREKA' CLEANER (S. Howe Co., Silver Creek, New York), WHOSE RECIPROCATING SIEVES REMOVED COARSE FOREIGN MATERIAL FROM WHEAT BEFORE MAKING FLOUR. Photographer: Jet T. Lowe, 1985 - Alexander's Grist Mill, Lock 37 on Ohio & Erie Canal, South of Cleveland, Valley View, Cuyahoga County, OH

  4. 7 CFR 800.61 - Prohibited grain handling practices.

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... material or dockage has been added to the broken corn or broken kernels. (2) Insect and fungi control. Grain may be treated to control insects and fungi. Elevators, other grain handlers, and their agents are...

  5. 7 CFR 800.61 - Prohibited grain handling practices.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... material or dockage has been added to the broken corn or broken kernels. (2) Insect and fungi control. Grain may be treated to control insects and fungi. Elevators, other grain handlers, and their agents are...

  6. 7 CFR 800.61 - Prohibited grain handling practices.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... material or dockage has been added to the broken corn or broken kernels. (2) Insect and fungi control. Grain may be treated to control insects and fungi. Elevators, other grain handlers, and their agents are...

  7. 7 CFR 800.61 - Prohibited grain handling practices.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... material or dockage has been added to the broken corn or broken kernels. (2) Insect and fungi control. Grain may be treated to control insects and fungi. Elevators, other grain handlers, and their agents are...

  8. Influence of Agricultural Management on Phytochemicals of Colored Corn Genotypes ( Zea mays L.). Part 2: Sowing Time.

    PubMed

    Giordano, Debora; Beta, Trust; Gagliardi, Federica; Blandino, Massimo

    2018-05-02

    Among the agronomic practices carried out in corn cultivation, the early sowing time is increasingly used by farmers of temperate regions to improve yield and reduce mycotoxin contamination of corn grains. The present study determined the influence of sowing time on the phytochemical content of grains of 10 colored genotypes of corn. There was a significant improvement of both grain yield (+26%), thousand kernel weight (+3%), and test weight (+2%) in plots sown early. The early sowing also significantly influenced the chemical composition of corn grains, with an increase in the concentration of cell-wall-bound phenolic acids (+5%) and β-cryptoxanthin (+23%) and a decrease in the concentration of lutein (-18%) and total anthocyanins (-21%). Environmental conditions that occurred during grain development significantly influenced the phytochemical content of corn grain, and early spring sowing could impart advantages in terms of both productivity and content of some antioxidants of whole-meal corn flour.

  9. 40 CFR 180.110 - Maneb; tolerances for residues.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... 10 None Beet, sugar, tops 45 None Broccoli 10 None Brussels sprouts 10 None Cabbage 10 None Cabbage... None Collards 10 None Corn, sweet, kernel plus cob with husks removed 5 None Cranberry 7 None Cucumber...

  10. 40 CFR 180.110 - Maneb; tolerances for residues.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... 10 None Beet, sugar, tops 45 None Broccoli 10 None Brussels sprouts 10 None Cabbage 10 None Cabbage... None Collards 10 None Corn, sweet, kernel plus cob with husks removed 5 None Cranberry 7 None Cucumber...

  11. Effects of different mechanized soil fertilization methods on corn nutrient accumulation and yield

    NASA Astrophysics Data System (ADS)

    Shi, Qingwen; Bai, Chunming; Wang, Huixin; Wu, Di; Song, Qiaobo; Dong, Zengqi; Gao, Depeng; Dong, Qiping; Cheng, Xin; Zhang, Yahao; Mu, Jiahui; Chen, Qinghong; Liao, Wenqing; Qu, Tianru; Zhang, Chunling; Zhang, Xinyu; Liu, Yifei; Han, Xiaori

    2017-05-01

    Aim: Experiments for mechanized corn soil fertilization were conducted in Faku demonstration zone. On this basis, we studied effects on corn nutrient accumulation and yield traits at brown soil regions due to different mechanized soil fertilization measures. We also evaluated and optimized the regulation effects of mechanized soil fertilization for the purpose of crop yield increase and production efficiency improvement. Method: Based on the survey of soil background value in the demonstration zone, we collected plant samples during different corn growth periods to determine and make statistical analysis. Conclusions: Decomposed cow dung, when under mechanical broadcasting, was able to remarkably increase nitrogen and potassium accumulation content of corns at their ripe stage. Crushed stalk returning combined with deep tillage would remarkably increase phosphorus accumulation content of corn plants. When compared with top application, crushed stalk returning combined with deep tillage would remarkably increase corn thousand kernel weight (TKW). Mechanized broadcasting of granular organic fertilizer and crushed stalk returning combined with deep tillage, when compared with surface application, were able to boost corn yield in the in the demonstration zone.

  12. Effects of whole-plant corn silage hybrid type on intake, digestion, ruminal fermentation, and lactation performance by dairy cows through a meta-analysis.

    PubMed

    Ferraretto, L F; Shaver, R D

    2015-04-01

    Understanding the effect of whole-plant corn silage (WPCS) hybrids in dairy cattle diets may allow for better decisions on hybrid selection by dairy producers, as well as indicate potential strategies for the seed corn industry with regard to WPCS hybrids. Therefore, the objective of this study was to perform a meta-analysis using literature data on the effects of WPCS hybrid type on intake, digestibility, rumen fermentation, and lactation performance by dairy cows. The meta-analysis was performed using a data set of 162 treatment means from 48 peer-reviewed articles published between 1995 and 2014. Hybrids were divided into 3 categories before analysis. Comparative analysis of WPCS hybrid types differing in stalk characteristics were in 4 categories: conventional, dual-purpose, isogenic, or low-normal fiber digestibility (CONS), brown midrib (BMR), hybrids with greater NDF but lower lignin (%NDF) contents or high in vitro NDF digestibility (HFD), and leafy (LFY). Hybrid types differing in kernel characteristics were in 4 categories: conventional or yellow dent (CONG), NutriDense (ND), high oil (HO), and waxy. Genetically modified (GM) hybrids were compared with their genetically similar non-biotech counterpart (ISO). Except for lower lignin content for BMR and lower starch content for HFD than CONS and LFY, silage nutrient composition was similar among hybrids of different stalk types. A 1.1 kg/d greater intake of DM and 1.5 and 0.05 kg/d greater milk and protein yields, respectively, were observed for BMR compared with CONS and LFY. Likewise, DMI and milk yield were greater for HFD than CONS, but the magnitude of the difference was smaller. Total-tract NDF digestibility was greater, but starch digestibility was reduced, for BMR and HFD compared with CONS or LFY. Silage nutrient composition was similar for hybrids of varied kernel characteristics, except for lower CP and EE content for CONG than ND and HO. Feeding HO WPCS to dairy cows decreased milk fat content and yield and protein content compared with the other kernel-type hybrids. Hybrids varying in kernel characteristics did not affect intake, milk production, or total-tract nutrient digestibilities by lactating dairy cows. Nutrient composition and lactation performance were similar between GM and ISO. Positive effects of BMR and HFD on intake and milk yield were observed for lactating dairy cows, but the reduced total-tract starch digestibility for these hybrids merits further study. Except for negative effects of HO on milk components, differences were minimal among corn silage hybrids differing in kernel type. Feeding GM WPCS did not affect lactation performance by dairy cows. Copyright © 2015 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

  13. Anthocyanin, phenolics and antioxidant activity changes in purple waxy corn as affected by traditional cooking.

    PubMed

    Harakotr, Bhornchai; Suriharn, Bhalang; Tangwongchai, Ratchada; Scott, Marvin Paul; Lertrat, Kamol

    2014-12-01

    Antioxidant components, including anthocyanins and phenolic compounds, antioxidant activity, and their changes during traditional cooking of fresh purple waxy corn were investigated. As compared to the raw corn, thermal treatment caused significant (p⩽0.05) decreases in each antioxidant compound and antioxidant activity. Steam cooking preserved more antioxidant compounds than boiling. Boiling caused a significant loss of anthocyanin and phenolic compounds into the cooking water. This cooking water is a valuable co-product because it is a good source of purple pigment. By comparing levels of antioxidant compounds in raw and cooked corn, we determined that degradation results in greater loss than leaching or diffusion into cooking water. Additionally, separation of kernels from the cob prior to cooking caused increased loss of antioxidant compounds. Copyright © 2014 Elsevier Ltd. All rights reserved.

  14. [Super sweet corn hybrid sh2 adaptability for industrial canning process].

    PubMed

    Ortiz de Bertorelli, Ligia; De Venanzi, Frank; Alfonzo, Braunnier; Camacho, Candelario

    2002-12-01

    The super sweet corns Krispy king, Victor and 324 (sh2 hybrids) were evaluated to determine their adaptabilities to the industrial canning process as whole kernels. All these hybrids and Bonanza (control) were sown in San Joaquín (Carabobo, Venezuela), harvested and canned. After 110 days storage at room temperature they were analyzed to be compared physically, chemically and sensorially with Bonanza hybrid. Results did not show significant differences among most of the physical characteristics, except for percentage of broken kernels which was higher in 324 hybrid. Chemical parameters showed significant differences (P < 0.05) comparing each super sweet hybrid with Bonanza. The super sweet hybrids presented a higher sugar content and soluble solid of the brine than Bonanza, also a lower pH. The super sweet whole kernel presented a lower soluble solids content than Bonanza but they were not significant (Krispy king and 324). Appearance, odor and overall quality were the same for super sweet hybrids and Bonanza (su). Color, flavor and sweetness were better for 324 than all the other hybrids. Super sweet hybrids presented a very good adaptation to the canning process, having as an advantage that doesn't require sugar addition in the brine and a very good texture (firm and crispy).

  15. SEM-EDX analysis of an unknown "known" white powder found in a shipping container from Peru

    NASA Astrophysics Data System (ADS)

    Albright, Douglas C.

    2009-05-01

    In 2008, an unknown white powder was discovered spilled inside of a shipping container of whole kernel corn during an inspection by federal inspectors in the port of Baltimore, Maryland. The container was detained and quarantined while a sample of the powder was collected and sent to a federal laboratory where it was screened using chromatography for the presence of specific poisons and pesticides with negative results. Samples of the corn kernels and the white powder were forwarded to the Food and Drug Administration, Forensic Chemistry Center for further analysis. Stereoscopic Light Microscopy (SLM), Scanning Electron Microscopy/Energy Dispersive X-ray Spectrometry (SEM/EDX), and Polarized Light Microscopy/Infrared Spectroscopy (PLM-IR) were used in the analysis of the kernels and the unknown powder. Based on the unique particle analysis by SLM and SEM as well as the detection of the presence of aluminum and phosphorous by EDX, the unknown was determined to be consistent with reacted aluminum phosphide (AlP). While commonly known in the agricultural industry, aluminum phosphide is relatively unknown in the forensic community. A history of the use and acute toxicity of this compound along with some very unique SEM/EDX analysis characteristics of aluminum phosphide will be discussed.

  16. The first report of A. novoparasiticus, A. arachidicola and A. pseudocaelatus in Brazilian corn kernels.

    PubMed

    Viaro, Helena Paula; da Silva, Josué José; de Souza Ferranti, Larissa; Bordini, Jaqueline Gozzi; Massi, Fernanda Pelisson; Fungaro, Maria Helena Pelegrinelli

    2017-02-21

    Maize is one of the most important commercial crops cultivated throughout the world, mostly in tropical and subtropical countries. It is highly susceptible to mycotoxins, toxic secondary metabolites produced by fungi. In this study, we assessed freshly harvested corn produced in Brazil for aflatoxin contamination and the presence of Aspergillus. B type aflatoxins (AFB 1 +AFB 2 ) were detected in 56% of 16 grain samples, while G type aflatoxins (AFG 1 +AFG 2 ) were detected in 25%. Of the total number of grains (n=1920) evaluated for the presence of fungi species, 4.7% were infected with Aspergillus species, 74.5% and 16.7% respectively with Fusarium and Penicillium species and 4.1% with other fungi genera. In total, 89 Aspergillus isolates were identified, most (86 isolates) characterized as belonging to Aspergillus section Flavi, and the remainder to Aspergillus section Cremei (2 isolates) and Aspergillus section Terrei (1 isolate). All the isolates of section Flavi were subjected to molecular analysis. They were found to belong to six species, including Aspergillus novoparasiticus, Aspergillus arachidicola and Aspergillus pseudocaelatus, all aflatoxins B and G producing species, which are herein described for the first time infecting corn kernels. Copyright © 2016 Elsevier B.V. All rights reserved.

  17. Alternative Fuels Data Center

    Science.gov Websites

    Payments Through the Bioenergy Program for Advanced Biofuels (Section 9005), eligible producers of advanced biofuels, or fuels derived from renewable biomass other than corn kernel starch, may receive payments to support expanded production of advanced biofuels. Payment amounts will depend on the quantity

  18. 40 CFR 180.275 - Chlorothalonil; tolerances for residues.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... Apricot 0.5 Asparagus 0.1 Banana (NMT 0.05 ppm in edible pulp) 0.5 Bean, dry, seed 0.1 Bean, snap....5 Cherry, tart 0.5 Cocoa bean, dried bean 0.05 Coffee, bean, green 0.20 Corn, sweet, kernel plus cob...

  19. 40 CFR 180.275 - Chlorothalonil; tolerances for residues.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... Apricot 0.5 Asparagus 0.1 Banana (NMT 0.05 ppm in edible pulp) 0.5 Bean, dry, seed 0.1 Bean, snap....5 Cherry, tart 0.5 Cocoa bean, dried bean 0.05 Coffee, bean, green 0.20 Corn, sweet, kernel plus cob...

  20. 40 CFR 180.275 - Chlorothalonil; tolerances for residues.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... Apricot 0.5 Asparagus 0.1 Banana (NMT 0.05 ppm in edible pulp) 0.5 Bean, dry, seed 0.1 Bean, snap....5 Cherry, tart 0.5 Cocoa bean, dried bean 0.05 Coffee, bean, green 0.20 Corn, sweet, kernel plus cob...

  1. Classification of corn kernels contaminated with aflatoxins using fluorescence and reflectance hyperspectral image analysis

    USDA-ARS?s Scientific Manuscript database

    Aflatoxins are secondary metabolites produced by certain fungal species of the Aspergillus genus. Aflatoxin contamination remains a problem in agricultural products due to its toxic and carcinogenic properties. Conventional chemical methods for aflatoxin detection are time-consuming and destructive....

  2. 40 CFR 180.275 - Chlorothalonil; tolerances for residues.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... Apricot 0.5 Asparagus 0.1 Banana (NMT 0.05 ppm in edible pulp) 0.5 Bean, dry, seed 0.1 Bean, snap....5 Cherry, tart 0.5 Cocoa bean, dried bean 0.05 Coffee, bean, green 0.20 Corn, sweet, kernel plus cob...

  3. Inhibition of Helicoverpa zea (Lepidoptera: Noctuidae) Growth by Transgenic Corn Expressing Bt Toxins and Development of Resistance to Cry1Ab.

    PubMed

    Reisig, Dominic D; Reay-Jones, Francis P F

    2015-08-01

    Transgenic corn, Zea mays L., that expresses the Bacillus thuringiensis (Bt) toxin Cry1Ab is only moderately toxic to Helicoverpa zea (Boddie) and has been planted commercially since 1996. Growth and development of H. zea was monitored to determine potential changes in susceptibility to this toxin over time. Small plots of corn hybrids expressing Cry1F, Cry1F × Cry1Ab, Cry1Ab × Cry3Bb1, Cry1A.105 × Cry2Ab2 × Cry3Bb1, Cry1A.105 × Cry2Ab2, and Vip3Aa20 × Cry1Ab × mCry3A were planted in both 2012 and 2013 inNorth and South Carolina with paired non-Bt hybrids from the same genetic background. H. zea larvae were sampled on three time periods from ears and the following factors were measured: kernel area injured (cm(2)) by H. zea larvae, larval number per ear, larval weight, larval length, and larval head width. Pupae were sampled on a single time period and the following factors recorded: number per ear, weight, time to eclosion, and the number that eclosed. There was no reduction in larval weight, number of insect entering the pupal stadium, pupal weight, time to eclosion, and number of pupae able to successfully eclose to adulthood in the hybrid expressing Cry1Ab compared with a non-Bt paired hybrid. As Cry1Ab affected these in 1996, H. zea may be developing resistance to Cry1Ab in corn, although these results are not comprehensive, given the limited sampling period, size, and geography. We also found that the negative impacts on larval growth and development were greater in corn hybrids with pyramided traits compared with single traits. © The Authors 2015. Published by Oxford University Press on behalf of Entomological Society of America. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

  4. Reduction of Fumonisin Toxicity by Extrusion and Nixtamalization (Alkaline Cooking).

    PubMed

    Voss, Kenneth; Ryu, Dojin; Jackson, Lauren; Riley, Ronald; Gelineau-van Waes, Janee

    2017-08-23

    Fumonisins are mycotoxins found in corn. They are toxic to animals and cause cancer in rodents and neural tube defects in LM/Bc mice. Reducing their concentrations in corn-based foods is therefore desirable. Chemical analysis or in vitro bioassays of food extracts might not detect toxic fumonisin reaction products that are unknown or unextractable from food matrices, thus potentially underestimating in vivo toxicity. The effectiveness of two common cooking methods, extrusion and nixtamalization (alkaline cooking), to reduce the toxicity of fumonisin-contaminated corn grits (extrusion) and whole kernel corn (nixtamalization) was shown by means of rat feeding bioassays using fumonisin-specific kidney effects as indicators of potential toxicity. A third bioassay showed that in contrast to fumonisin B 1 (FB 1 ), hydrolyzed fumonisin B 1 (HFB 1 ; formed from FB 1 during nixtamalization) did not cause neural tube defects in LM/Bc mice. The findings indicate that extrusion and nixtamalization reduce the potential toxicity of FB 1 -contaminated corn.

  5. Gene Deletion and Functional Analysis of Fusarium verticillioides Trehalose Metabolism

    USDA-ARS?s Scientific Manuscript database

    Fusarium verticillioides is a species of fungus that causes stalk, ear, and kernel rot of corn and produces fumonisins, a group of mycotoxins that have dangerous health effects. We have observed previously that the intracellular concentration of trehalose, a disaccharide involved in resistance to st...

  6. Toward a scientific understanding of DDGS

    USDA-ARS?s Scientific Manuscript database

    The objective of this book is to provide a thorough summary of all aspects of DDGS, ranging from the corn kernel itself all the way through end use. The broad topic of distillers grains intersects a variety of disciplines, including physics, chemistry, microbiology, biology, animal science, as well...

  7. Burrower bugs (Heteroptera: Cydnidae) in peanut: seasonal species abundance, tillage effects, grade reduction effects, insecticide efficacy, and management.

    PubMed

    Chapin, Jay W; Thomas, James S

    2003-08-01

    Pitfall traps placed in South Carolina peanut, Arachis hypogaea (L.), fields collected three species of burrower bugs (Cydnidae): Cyrtomenus ciliatus (Palisot de Beauvois), Sehirus cinctus cinctus (Palisot de Beauvois), and Pangaeus bilineatus (Say). Cyrtomenus ciliatus was rarely collected. Sehirus cinctus produced a nymphal cohort in peanut during May and June, probably because of abundant henbit seeds, Lamium amplexicaule L., in strip-till production systems. No S. cinctus were present during peanut pod formation. Pangaeus bilineatus was the most abundant species collected and the only species associated with peanut kernel feeding injury. Overwintering P. bilineatus adults were present in a conservation tillage peanut field before planting and two to three subsequent generations were observed. Few nymphs were collected until the R6 (full seed) growth stage. Tillage and choice of cover crop affected P. bilineatus populations. Peanuts strip-tilled into corn or wheat residue had greater P. bilineatus populations and kernel-feeding than conventional tillage or strip-tillage into rye residue. Fall tillage before planting a wheat cover crop also reduced burrower bug feeding on peanut. At-pegging (early July) granular chlorpyrifos treatments were most consistent in suppressing kernel feeding. Kernels fed on by P. bilineatus were on average 10% lighter than unfed on kernels. Pangaeus bilineatus feeding reduced peanut grade by reducing individual kernel weight, and increasing the percentage damaged kernels. Each 10% increase in kernels fed on by P. bilineatus was associated with a 1.7% decrease in total sound mature kernels, and kernel feeding levels above 30% increase the risk of damaged kernel grade penalties.

  8. Imaging and automated detection of Sitophilus oryzae (Coleoptera: Curculionidae) pupae in hard red winter wheat.

    PubMed

    Toews, Michael D; Pearson, Tom C; Campbell, James F

    2006-04-01

    Computed tomography, an imaging technique commonly used for diagnosing internal human health ailments, uses multiple x-rays and sophisticated software to recreate a cross-sectional representation of a subject. The use of this technique to image hard red winter wheat, Triticum aestivm L., samples infested with pupae of Sitophilus oryzae (L.) was investigated. A software program was developed to rapidly recognize and quantify the infested kernels. Samples were imaged in a 7.6-cm (o.d.) plastic tube containing 0, 50, or 100 infested kernels per kg of wheat. Interkernel spaces were filled with corn oil so as to increase the contrast between voids inside kernels and voids among kernels. Automated image processing, using a custom C language software program, was conducted separately on each 100 g portion of the prepared samples. The average detection accuracy in the five infested kernels per 100-g samples was 94.4 +/- 7.3% (mean +/- SD, n = 10), whereas the average detection accuracy in the 10 infested kernels per 100-g sample was 87.3 +/- 7.9% (n = 10). Detection accuracy in the 10 infested kernels per 100-g samples was slightly less than the five infested kernels per 100-g samples because of some infested kernels overlapping with each other or air bubbles in the oil. A mean of 1.2 +/- 0.9 (n = 10) bubbles (per tube) was incorrectly classed as infested kernels in replicates containing no infested kernels. In light of these positive results, future studies should be conducted using additional grains, insect species, and life stages.

  9. Influence of genotype and ensiling of corn grain on in situ degradation of starch in the rumen.

    PubMed

    Philippeau, C; Michalet-Doreau, B

    1998-08-01

    This trial was conducted to determine the influence of genotype and ensiling of corn grain on the rate and extent of ruminal starch degradation. Two cultivars of corn that differed in texture of the endosperm, dent (Zea mays ssp. indentata) or flint (Zea mays ssp. indentura) were harvested at 30% whole-plant dry matter (DM). After separation from stover and cob, the kernels were coarsely chopped and ensiled or not ensiled. Grains were oven-dried at 40 degrees C and either ground through a 3-mm sieve or left unground. Ruminal DM and starch degradabilities were determined using the in situ technique. The proportion of starch lost through the pores of the bag without degradation was also determined. Mean ruminal DM and starch degradabilities were higher for ground grains than for chopped grains, which could be related to the proportion of DM and starch lost through the pores of the bag. For unensiled, chopped grain, ruminal starch degradability was higher for dent corn than for flint corn (72.3% vs. 61.6%). The ensiling process increased ruminal starch degradability, averaging 5.8 percentage units. The difference in ruminal starch degradability between dent corn and flint corn remained constant whether the corn was unensiled or ensiled (10.7 vs. 11.6 percentage units).

  10. Cultural Resource Survey and Assessment of Proposed Valley Park Levee Alignment and Borrow Areas, St. Louis County, Missouri. St. Louis District Cultural Resource Management Report Number 10.

    DTIC Science & Technology

    1984-02-01

    these people were not unlike the Old World Upper PaleolIthic cultures occupying much of central AsIa by 15,000 B.C. Paleo-lndlan peoples inhabited an...reconstructions. These large "protein packages" were only a minimal part of their total diet , the major portion probably comprised of modern-day fauna (e.g...the Archaic tradition, corn was Introduced into Woodland diets from Mexico. This was a small-eared "tropical flint" corn with 10 to 16 rows of kernels

  11. Polyphasic Approach Including MALDI-TOF MS/MS Analysis for Identification and Characterisation of Fusarium verticillioides in Brazilian Corn Kernels

    PubMed Central

    Chang, Susane; Porto Carneiro-Leão, Mariele; Ferreira de Oliveira, Benny; Souza-Motta, Cristina; Lima, Nelson; Santos, Cledir; Tinti de Oliveira, Neiva

    2016-01-01

    Fusarium verticillioides is considered one of the most important global sources of fumonisins contamination in food and feed. Corn is one of the main commodities produced in the Northeastern Region of Brazil. The present study investigated potential mycotoxigenic fungal strains belonging to the F. verticillioides species isolated from corn kernels in 3 different Regions of the Brazilian State of Pernambuco. A polyphasic approach including classical taxonomy, molecular biology, MALDI-TOF MS and MALDI-TOF MS/MS for the identification and characterisation of the F. verticillioides strains was used. Sixty F. verticillioides strains were isolated and successfully identified by classical morphology, proteomic profiles of MALDI-TOF MS, and by molecular biology using the species-specific primers VERT-1 and VERT-2. FUM1 gene was further detected for all the 60 F. verticillioides by using the primers VERTF-1 and VERTF-2 and through the amplification profiles of the ISSR regions using the primers (GTG)5 and (GACA)4. Results obtained from molecular analysis shown a low genetic variability among these isolates from the different geographical regions. All of the 60 F. verticillioides isolates assessed by MALDI-TOF MS/MS presented ion peaks with the molecular mass of the fumonisin B1 (721.83 g/mol) and B2 (705.83 g/mol). PMID:26927172

  12. Effects of incorporating agro-industrial by-products into diet of New Zealand rabbits: Case of rebus of date and apricot kernel meal.

    PubMed

    Mennani, Achour; Arbouche, Rafik; Arbouche, Yasmine; Montaigne, Etienne; Arbouche, Fodil; Arbouche, Halima Saâdia

    2017-12-01

    The aim of this study was to determine the effects of incorporating the by-products complex of date and apricot on the fattening performance of the New Zealand breed of rabbits, to reduce the economic costs of the food formula. A total of 288 young New Zealand rabbits aged 35 days were divided into four equal groups each containing 72 animals and into sub-groups of 6 rabbits per cage, depending on the rate of substitution of corn by date rebus and of soybean meal by apricot kernel meal (0%, 10%, 20%, and 30%). The change in weight from day 35 to 77 and the average daily gain are not significantly different, regardless of the diet. The pH and water content are proportional to the substitution rates (6.4-6.6% and 66.5-68.8%). Meat protein levels increased significantly, in particular for the 10% and 30% groups (+8.1% and 6%) while the fat and mineral content levels decreased significantly, in particular for the 30% group displaying -16% and -17%, respectively. Incorporation of dates and apricot kernel meal into the ration of rabbits reduces the cost of the kilogram of food produced of -9%, with an opportunity cost of 165 Algerian dinars (DZD). The date rebus/apricot kernel meal complex can be used as an alternative to the corn/soybean meal complex at substitution rates of up to 30% without adverse effects on growth rates, feed contribution, or slaughter yield. It improves the chemical composition of the meat and reduces the cost price of the quintal of feed produced.

  13. Effects of incorporating agro-industrial by-products into diet of New Zealand rabbits: Case of rebus of date and apricot kernel meal

    PubMed Central

    Mennani, Achour; Arbouche, Rafik; Arbouche, Yasmine; Montaigne, Etienne; Arbouche, Fodil; Arbouche, Halima Saâdia

    2017-01-01

    Aim: The aim of this study was to determine the effects of incorporating the by-products complex of date and apricot on the fattening performance of the New Zealand breed of rabbits, to reduce the economic costs of the food formula. Materials and Methods: A total of 288 young New Zealand rabbits aged 35 days were divided into four equal groups each containing 72 animals and into sub-groups of 6 rabbits per cage, depending on the rate of substitution of corn by date rebus and of soybean meal by apricot kernel meal (0%, 10%, 20%, and 30%). Results: The change in weight from day 35 to 77 and the average daily gain are not significantly different, regardless of the diet. The pH and water content are proportional to the substitution rates (6.4-6.6% and 66.5-68.8%). Meat protein levels increased significantly, in particular for the 10% and 30% groups (+8.1% and 6%) while the fat and mineral content levels decreased significantly, in particular for the 30% group displaying −16% and −17%, respectively. Incorporation of dates and apricot kernel meal into the ration of rabbits reduces the cost of the kilogram of food produced of −9%, with an opportunity cost of 165 Algerian dinars (DZD). Conclusion: The date rebus/apricot kernel meal complex can be used as an alternative to the corn/soybean meal complex at substitution rates of up to 30% without adverse effects on growth rates, feed contribution, or slaughter yield. It improves the chemical composition of the meat and reduces the cost price of the quintal of feed produced. PMID:29391686

  14. Field screening of experimental corn hybrids and inbred lines for multiple ear-feeding insect resistance.

    PubMed

    Ni, Xinzhi; Xu, Wenwei; Krakowsky, Matthew D; Buntin, G David; Brown, Steve L; Lee, R Dewey; Coy, Anton E

    2007-10-01

    Identifying and using native insect resistance genes is the core of integrated pest management. In this study, 10 experimental corn, Zea mays L., hybrids and 10 inbred lines were screened for resistance to major ear-feeding insects in the southeastern Coastal Plain region of the United States during 2004 and 2005. Ear-feeding insect damage was assessed at harvest by visual damage rating for the corn earworm, Helicoverpa zea (Boddie), and by the percentage of kernels damaged by the maize weevil, Sitophilus zeamais Motschulsky, and stink bugs [combination of Euschistus servus (Say) and southern green stink bug, Nezara viridula (L.)]. Among the eight inbred lines and two control populations examined, C3S1B73-5b was resistant to corn earworm, maize weevil, and stink bugs. In contrast, C3S1B73-4 was resistant to corn earworm and stink bugs, but not to maize weevil. In a similar manner, the corn hybrid S1W*CML343 was resistant to all three ear-feeding insects, whereas hybrid C3S1B73-3*Tx205 was resistant to corn earworm and maize weevil in both growing seasons, but susceptible to stink bugs in 2005. The silk-feeding bioassay showed that corn earworm developed better on corn silk than did fall armyworm. Among all phenotypic traits examined (i.e., corn ear size, husk extension, and husk tightness), only corn ear size was negatively correlated to corn earworm damage in the inbred lines examined, whereas only husk extension (i.e., coverage) was negatively correlated to both corn earworm and maize weevil damage on the experimental hybrids examined. Such information could be used to establish a baseline for developing agronomically elite corn germplasm that confers multiple ear-feeding insect resistance.

  15. Survival of Aspergillus flavus and Fusarium moniliforme in High-Moisture Corn Stored Under Modified Atmospheres

    PubMed Central

    Wilson, David M.; Huang, L. H.; Jay, Edward

    1975-01-01

    Freshly harvested high-moisture corn with 29.4% moisture and corn remoistened to 19.6% moisture were inoculated with Aspergillus flavus Link ex Fr. and stored for 4 weeks at about 27 C in air (0.03% CO2, 21% O2, and 78% N2) and three modified atmospheres: (i) 99.7% N2 and 0.3% O2; (ii) 61.7% CO2, 8.7% O2, and 29.6% N2; and (iii) 13.5% CO2, 0.5% O2, and 84.8% N2. Kernel infections by A. flavus, Fusarium moniliforme (Sheld.) Snyd. et Hans., and other fungi were monitored weekly. The modified-atmosphere treatments delayed deterioration by A. flavus and F. moniliforme, but their growth was not completely stopped. A. flavus survived better in the remoistened than in the freshly harvested corn. F. moniliforme survived in both. A. flavus and F. moniliforme were the dominant fungi in corn removed from the modified atmospheres and exposed to normal air for 1 week. PMID:811165

  16. Drought-responsive protein profiles reveal diverse defense pathways in corn kernels under field drought atress

    USDA-ARS?s Scientific Manuscript database

    Drought stress is a major factor which contributes to disease susceptibility and yield loss in agricultural crops. To identify drought responsive proteins and explore metabolic pathways involved in maize tolerance to drought stress, two lines (B73 and Lo964) with contrasting drought sensitivity were...

  17. Conventional and organic soil fertility management practices affect corn plant nutrition and Ostrinia nubilalis (Lepidoptera: Crambidae) larval performance.

    PubMed

    Murrell, Ebony G; Cullen, Eileen M

    2014-10-01

    Few studies compare how different soil fertilization practices affect plant mineral content and insect performance in organic systems. This study examined: 1) The European corn borer, Ostrinia nubilalis (Hübner), larval response on corn (Zea mays L.) grown in field soils with different soil management histories; and 2) resilience of these plants to O. nubilalis herbivory. Treatments included: 1) standard organic--organically managed soil fertilized with dairy manure and 2 yr of alfalfa (Medicago sativa L.) in the rotation; 2) basic cation saturation ratio--organically managed soil fertilized with dairy manure and alfalfa nitrogen credits, plus addition of gypsum (CaSO4·2H2O) according to the soil balance hypothesis; and 3) conventional--conventionally managed soil fertilized with synthetic fertilizers. Corn plants were reared to maturity in a greenhouse, and then infested with 0-40 O. nubilalis larvae for 17 d. O. nubilalis exhibited negative competitive response to increasing larval densities. Mean development time was significantly faster for larvae consuming basic cation saturation ratio plants than those on standard organic plants, with intermediate development time on conventional plants. Neither total yield (number of kernels) nor proportion kernels damaged differed among soil fertility treatments. Soil nutrients differed significantly in S and in Ca:Mg and Ca:K ratios, but principal components analysis of plant tissue samples taken before O. nubilalis infestation showed that S, Fe, and Cu contributed most to differences in plant nutrient profiles among soil fertility treatments. Results demonstrate that different fertilization regimens can significantly affect insect performance within the context of organic systems, but the effects in this study were relatively minor compared with effects of intraspecific competition.

  18. Corn and culture in central andean prehistory.

    PubMed

    Johannessen, S; Hastorf, C A

    1989-05-12

    The prehistoric development and spread of domesticated maize varieties in the highlands of Peru, unlike the drier coastal deserts, is little known because ancient maize remains in this area survive mainly as fragments, kernels, and cob parts. An analysis of fragmented charred maize from prehistoric households (A.D.450 to 1500) in the Mantaro Valley reveals a developmental sequence of maize varieties for Highland Peru. The evidence indicates an adoption of large-kernelled maize varieties beginning in the Late Intermediate (A.D. 1000). This is centuries later than a similar change in maize, associated with the Wari expansion, that occurred in coastal areas, and indicates minimal Wari impact in the Mantaro Valley.

  19. Effect of the corn breaking method on oil distribution between stillage phases of dry-grind corn ethanol production.

    PubMed

    Wang, H; Wang, T; Johnson, L A; Pometto, A L

    2008-11-12

    The majority of fuel ethanol in the United States is produced by using the dry-grind corn ethanol process. The corn oil that is contained in the coproduct, distillers' dried grains with solubles (DDGS), can be recovered for use as a biodiesel feedstock. Oil removal will also improve the feed quality of DDGS. The most economical way to remove oil is considered to be at the centrifugation step for separating thin stillage (liquid) from coarse solids after distilling the ethanol. The more oil there is in the liquid, the more it can be recovered by centrifugation. Therefore, we studied the effects of corn preparation and grinding methods on oil distribution between liquid and solid phases. Grinding the corn to three different particle sizes, flaking, flaking and grinding, and flaking and extruding were used to break up the corn kernel before fermentation, and their effects on oil distribution between the liquid and solid phases were examined by simulating an industrial decanter centrifuge. Total oil contents were measured in the liquid and solids after centrifugation. Dry matter yield and oil partitioning in the thin stillage were highly positively correlated. Flaking slightly reduced bound fat. The flaked and then extruded corn meal released the highest amount of free oil, about 25% compared to 7% for the average of the other treatments. The freed oil from flaking, however, became nonextractable after the flaked corn was ground. Fine grinding alone had little effect on oil partitioning.

  20. Novel near-infrared sampling apparatus for single kernel analysis of oil content in maize.

    PubMed

    Janni, James; Weinstock, B André; Hagen, Lisa; Wright, Steve

    2008-04-01

    A method of rapid, nondestructive chemical and physical analysis of individual maize (Zea mays L.) kernels is needed for the development of high value food, feed, and fuel traits. Near-infrared (NIR) spectroscopy offers a robust nondestructive method of trait determination. However, traditional NIR bulk sampling techniques cannot be applied successfully to individual kernels. Obtaining optimized single kernel NIR spectra for applied chemometric predictive analysis requires a novel sampling technique that can account for the heterogeneous forms, morphologies, and opacities exhibited in individual maize kernels. In this study such a novel technique is described and compared to less effective means of single kernel NIR analysis. Results of the application of a partial least squares (PLS) derived model for predictive determination of percent oil content per individual kernel are shown.

  1. Abundance of truncated and full-length ChitA and ChitB chitinases in healthy and diseased maize tissues

    USDA-ARS?s Scientific Manuscript database

    Chitinase modifying proteins, cmps, are secreted fungal proteases that combat plant defenses by truncating plant class IV chitinases. We initially discovered that ChitA and ChitB, two plant class IV chitinases that are abundant in developing and mature kernels of corn, are truncated by cmps during e...

  2. Characterization of a double deletion mutant of Fusarium verticillioides lacking two putative trehalose-6-phosphate phosphatase genes

    USDA-ARS?s Scientific Manuscript database

    Fusarium verticillioides is a fungal pathogen that commonly infects the stalk, ear, and kernels of corn and can produce fumonisins, a family of mycotoxins linked to disease in livestock and humans. Our goal is to characterize the role of the disaccharide trehalose in growth and stress response in F....

  3. Critical environmental and genotypic factors for Fusarium verticillioides infection, fungal growth and fumonisin contamination in maize grown in northwestern Spain.

    PubMed

    Cao, Ana; Santiago, Rogelio; Ramos, Antonio J; Souto, Xosé C; Aguín, Olga; Malvar, Rosa Ana; Butrón, Ana

    2014-05-02

    In northwestern Spain, where weather is rainy and mild throughout the year, Fusarium verticillioides is the most prevalent fungus in kernels and a significant risk of fumonisin contamination has been exposed. In this study, detailed information about environmental and maize genotypic factors affecting F. verticillioides infection, fungal growth and fumonisin content in maize kernels was obtained in order to establish control points to reduce fumonisin contamination. Evaluations were conducted in a total of 36 environments and factorial regression analyses were performed to determine the contribution of each factor to variability among environments, genotypes, and genotype × environment interactions for F. verticillioides infection, fungal growth and fumonisin content. Flowering and kernel drying were the most critical periods throughout the growing season for F. verticillioides infection and fumonisin contamination. Around flowering, wetter and cooler conditions limited F. verticillioides infection and growth, and high temperatures increased fumonisin contents. During kernel drying, increased damaged kernels favored fungal growth, and higher ear damage by corn borers and hard rainfall favored fumonisin accumulation. Later planting dates and especially earlier harvest dates reduced the risk of fumonisin contamination, possibly due to reduced incidence of insects and accumulation of rainfall during the kernel drying period. The use of maize varieties resistant to Sitotroga cerealella, with good husk coverage and non-excessive pericarp thickness could also be useful to reduce fumonisin contamination of maize kernels. Copyright © 2014 Elsevier B.V. All rights reserved.

  4. A morel improved growth and suppressed Fusarium infection in sweet corn.

    PubMed

    Yu, Dan; Bu, Fangfang; Hou, Jiaojiao; Kang, Yongxiang; Yu, Zhongdong

    2016-12-01

    A post-fire morel collected from Populus simonii stands in Mt. Qingling was identified as Morchella crassipes Mes-20 by using nuclear ribosomal DNA internal transcribed spacer phylogeny. It was inoculated into sweet corn to observe colonized roots in purified culture and in greenhouse experiments. The elongation and maturation zones of sweet corn were remarkably colonized at the cortex intercellular and intracellular cells, vessel cells, and around the Casparian strip, forming ectendomycorrhiza-like structures. Colonization was also observed in the zone of cell division proximal to the root cap. Greenhouse assays with sweet corn showed that this morel stimulated the development of the root system and significantly increased the dry root biomass. M. crassipes also significantly reduced the incidence of Fusarium verticillioides in the kernels of mature ears when inoculated into young ears before Fusarium inoculation and prevented Fusarium infection in corn ears compared with that of the control in the greenhouse. When grown under axenic conditions, M. crassipes produced the phytohormones abscisic acid, indole-3-acetic acid, and salicylic acid. The benefits to plants elicited by M. crassipes may result from these phytohormones which may improve the drought resistance, biomass growth and resistance to Fusarium.

  5. Effect of essential oils on the growth of Fusarium verticillioides and fumonisin contamination in corn.

    PubMed

    Fandohan, Pascal; Gbenou, Joachim D; Gnonlonfin, Benoit; Hell, Kerstin; Marasas, Walter F O; Wingfield, Michael J

    2004-11-03

    Essential oils extracted by hydrodistillation from local plants in Benin, western Africa, and oil from seeds of the neem tree (Azadirachta indica) were evaluated in vitro and in vivo for their efficacy against Fusarium verticillioides infection and fumonisin contamination. Fumonisin in corn was quantified using a fluorometer and the Vicam method. Oils from Cymbopogon citratus, Ocimum basilicum, and Ocimum gratissimum were the most effective in vitro, completely inhibiting the growth of F. verticillioides at lower concentrations over 21 days of incubation. These oils reduced the incidence of F. verticillioides in corn and totally inhibited fungal growth at concentrations of 8, 6.4, and 4.8 microL/g, respectively, over 21 days. At the concentration of 4.8 microL/g, these oils did not affect significantly fumonisin production. However, a marked reduction of fumonisin level was observed in corn stored in closed conditions. The oils adversely affected kernel germination at 4.8 microL/g and therefore cannot be recommended for controlling F. verticillioides on stored corn used as seeds, when used at this concentration. The oil of neem seeds showed no inhibitory effect but rather accelerated the growth of F. verticillioides.

  6. Larval western bean cutworm feeding damage encourages the development of Gibberella ear rot on field corn.

    PubMed

    Parker, Nicole S; Anderson, Nolan R; Richmond, Douglas S; Long, Elizabeth Y; Wise, Kiersten A; Krupke, Christian H

    2017-03-01

    A 2 year study was conducted to determine whether western bean cutworm (Striacosta albicosta Smith) (WBC) larval feeding damage increases severity of the fungal disease Gibberella ear rot [Fusarium graminearum (Schwein.) Petch] in field corn (Zea mays L.). The effect of a quinone-outside inhibiting fungicide, pyraclostrobin, on Gibberella ear rot severity and mycotoxin production, both with and without WBC pressure, was also evaluated. The impact of each variable was assessed individually and in combination to determine the effect of each upon ear disease severity. There was a positive correlation between the presence of WBC larvae in field corn and Gibberella ear rot severity under inoculated conditions in the 2 years of the experiment. An application of pyraclostrobin did not impact Gibberella ear rot development when applied at corn growth stage R1 (silks first emerging). Feeding damage from WBC larvae significantly increases the development of F. graminearum in field corn. We conclude that an effective integrated management strategy for Gibberella ear rot should target the insect pest first, in an effort to limit disease severity and subsequent mycotoxin production by F. graminearum in kernels. © 2016 Society of Chemical Industry. © 2016 Society of Chemical Industry.

  7. Determining weight and moisture properties of sound and fusarium-damaged single wheat kernels by near infrared spectroscopy

    USDA-ARS?s Scientific Manuscript database

    Single kernel moisture content (MC) is important in the measurement of other quality traits in single kernels since many traits are expressed on a dry weight basis, and MC affects viability, storage quality, and price. Also, if near-infrared (NIR) spectroscopy is used to measure grain traits, the in...

  8. 7 CFR 868.310 - Grades and grade requirements for the classes Long Grain Milled Rice, Medium Grain Milled Rice...

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ..., heatdamaged, and paddy kernels (singly or combined) Total (number in 500 grams) Heatdamaged kernels and objectionable seeds (number in 500 grams) Red rice anddamaged kernels (singly or combined) (percent) Chalky...

  9. 7 CFR 868.310 - Grades and grade requirements for the classes Long Grain Milled Rice, Medium Grain Milled Rice...

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ..., heatdamaged, and paddy kernels (singly or combined) Total (number in 500 grams) Heatdamaged kernels and objectionable seeds (number in 500 grams) Red rice anddamaged kernels (singly or combined) (percent) Chalky...

  10. Construction and characterization of a double deletion mutant of Fusarium verticillioides lacking two putative trehalose-6-phosphate phosphatase genes

    USDA-ARS?s Scientific Manuscript database

    Fusarium verticillioides is a fungal pathogen that commonly infects the stalk, ear, and kernels of corn and can produce fumonisins, a family of mycotoxins linked to disease in livestock and humans. Our goal is to characterize the role of the disaccharide trehalose in growth and stress response in F....

  11. Effects of Carriers, Emulsifiers, and Biopesticides for Direct Silk Treatments on Caterpillar Feeding Damage and Ear Development in Sweet Corn.

    PubMed

    Westgate, P J; Schultz, B B; Hazzard, R V

    2017-04-01

    In the northeastern United States, control of Lepidopteran pests of sweet corn, particularly corn earworm [Helicoverpa zea (Boddie)], is difficult using organic methods. The direct application of corn oil and Bacillus thuringiensis (Bt) to corn silk has been shown to reduce ear damage from corn earworm in past studies; these studies sought to optimize this method by evaluating additional carrier and biopesticide mixtures that comply with the United States Federal Insecticide, Fungicide, and Rodenticide Act and National Organic Standards. Carriers, which are liquids used to dissolve the biopesticide and deliver it into the tip of the ear, may have phytotoxic or insecticidal properties. Experiments conducted from 2001 to 2005 evaluated caterpillar damage and ear development effects from carriers (vegetable and paraffinic oils and carrageenan), biopesticides (Bt, spinsosad, and neem), and three emulsifiers in various combinations when applied directly to the tips of the ears 5-7 d after silk initiation. There were no effects of emulsifiers on ear quality, except for slight reduction in caterpillar damage in one of the two years. There were no differences among corn, soy, canola, and safflower oils in corn earworm control or tip development. The carrageenan carrier had the least effect upon ear development as measured by the length of nonpollinated kernels at the tip, compared to corn oil or paraffinic oil (JMS Stylet Oil), which caused the greatest tip damage as well as an oily discoloration. The carrier-pesticide combinations with the best ear quality overall were spinosad in carrageenan or corn oil, and Bt in carrageenan. © The Authors 2017. Published by Oxford University Press on behalf of Entomological Society of America. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

  12. 7 CFR 868.310 - Grades and grade requirements for the classes Long Grain Milled Rice, Medium Grain Milled Rice...

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ..., heat damaged, and paddy kernels (singly or combined) Total (number in 500 grams) Heat damaged kernels and objectionable seeds (number in 500 grams) Red rice and damaged kernels (singly or combined...

  13. Development of a single kernel analysis method for detection of 2-acetyl-1-pyrroline in aromatic rice germplasm

    USDA-ARS?s Scientific Manuscript database

    Solid-phase microextraction (SPME) in conjunction with GC/MS was used to distinguish non-aromatic rice (Oryza sativa, L.) kernels from aromatic rice kernels. In this method, single kernels along with 10 µl of 0.1 ng 2,4,6-Trimethylpyridine (TMP) were placed in sealed vials and heated to 80oC for 18...

  14. A Novel Extreme Learning Machine Classification Model for e-Nose Application Based on the Multiple Kernel Approach.

    PubMed

    Jian, Yulin; Huang, Daoyu; Yan, Jia; Lu, Kun; Huang, Ying; Wen, Tailai; Zeng, Tanyue; Zhong, Shijie; Xie, Qilong

    2017-06-19

    A novel classification model, named the quantum-behaved particle swarm optimization (QPSO)-based weighted multiple kernel extreme learning machine (QWMK-ELM), is proposed in this paper. Experimental validation is carried out with two different electronic nose (e-nose) datasets. Being different from the existing multiple kernel extreme learning machine (MK-ELM) algorithms, the combination coefficients of base kernels are regarded as external parameters of single-hidden layer feedforward neural networks (SLFNs). The combination coefficients of base kernels, the model parameters of each base kernel, and the regularization parameter are optimized by QPSO simultaneously before implementing the kernel extreme learning machine (KELM) with the composite kernel function. Four types of common single kernel functions (Gaussian kernel, polynomial kernel, sigmoid kernel, and wavelet kernel) are utilized to constitute different composite kernel functions. Moreover, the method is also compared with other existing classification methods: extreme learning machine (ELM), kernel extreme learning machine (KELM), k-nearest neighbors (KNN), support vector machine (SVM), multi-layer perceptron (MLP), radical basis function neural network (RBFNN), and probabilistic neural network (PNN). The results have demonstrated that the proposed QWMK-ELM outperforms the aforementioned methods, not only in precision, but also in efficiency for gas classification.

  15. 7 CFR 868.210 - Grades and grade requirements for the classes of Rough Rice. (See also § 868.212.)

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... and heat-damaged kernels Total (singly or combined) (Number in 500 grams) Heat-damaged kernels and objectionable seeds (singly or combined) (Number in 500 grams) Heat-damaged kernels (Number in 500 grams) Red...

  16. 7 CFR 868.210 - Grades and grade requirements for the classes of Rough Rice. (See also § 868.212.)

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... and heat-damaged kernels Total (singly or combined) (Number in 500 grams) Heat-damaged kernels and objectionable seeds (singly or combined) (Number in 500 grams) Heat-damaged kernels (Number in 500 grams) Red...

  17. 7 CFR 868.210 - Grades and grade requirements for the classes of Rough Rice. (See also § 868.212.)

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... and heat-damaged kernels Total (singly or combined) (Number in 500 grams) Heat-damaged kernels and objectionable seeds (singly or combined) (Number in 500 grams) Heat-damaged kernels (Number in 500 grams) Red...

  18. The role of Aspergillus flavus veA in the production of extracellular proteins during growth on starch substrates.

    PubMed

    Duran, Rocio M; Gregersen, Scott; Smith, Timothy D; Bhetariya, Preetida J; Cary, Jeffrey W; Harris-Coward, Pamela Y; Mattison, Christopher P; Grimm, Casey; Calvo, Ana M

    2014-06-01

    The aflatoxin-producer and opportunistic plant pathogenic, filamentous fungus Aspergillus flavus is responsible for the contamination of corn and other important agricultural commodities. In order to obtain nutrients from the host A. flavus produces a variety of extracellular hydrolytic enzymes. Interestingly, A. flavus amylase and protease activity are dependent on the global regulator veA, a gene known to regulate morphogenesis and secondary metabolism in numerous fungi. Analysis of starch degradation by fungal enzymes secreted into broths of starch- or corn kernel-based media showed a notable accumulation of glucose in samples of the A. flavus control strain while the deletion veA sample accumulated high levels of maltose and maltotriose and only a small amount of glucose. Furthermore, SDS-PAGE and proteomics analysis of culture broths from starch- or corn kernel-based media demonstrated differential production of a number of proteins that included a reduction in the amount of a glucoamylase protein in the veA mutant compared to the control strain, while an alpha-amylase was produced in greater quantities in the veA mutant. Quantitative real-time PCR and western blot analyses using anti-glucoamylase or alpha-amylase antisera supported the proteomics results. Additionally, an overall reduction in protease activity was observed in the veA mutant including production of the alkaline protease, oryzin, compared to the control strain. These findings contribute to our knowledge of mechanisms controlling production of hydrolases and other extracellular proteins during growth of A. flavus on natural starch-based substrates.

  19. [Super sweet corn hybrids adaptability for industrial processing. I freezing].

    PubMed

    Alfonzo, Braunnier; Camacho, Candelario; Ortiz de Bertorelli, Ligia; De Venanzi, Frank

    2002-09-01

    With the purpose of evaluating adaptability to the freezing process of super sweet corn sh2 hybrids Krispy King, Victor and 324, 100 cobs of each type were frozen at -18 degrees C. After 120 days of storage, their chemical, microbiological and sensorial characteristics were compared with a sweet corn su. Industrial quality of the process of freezing and length and number of rows in cobs were also determined. Results revealed yields above 60% in frozen corns. Length and number of rows in cobs were acceptable. Most of the chemical characteristics of super sweet hybrids were not different from the sweet corn assayed at the 5% significance level. Moisture content and soluble solids of hybrid Victor, as well as total sugars of hybrid 324 were statistically different. All sh2 corns had higher pH values. During freezing, soluble solids concentration, sugars and acids decreased whereas pH increased. Frozen cobs exhibited acceptable microbiological rank, with low activities of mesophiles and total coliforms, absence of psychrophiles and fecal coliforms, and an appreciable amount of molds. In conclusion, sh2 hybrids adapted with no problems to the freezing process, they had lower contents of soluble solids and higher contents of total sugars, which almost doubled the amount of su corn; flavor, texture, sweetness and appearance of kernels were also better. Hybrid Victor was preferred by the evaluating panel and had an outstanding performance due to its yield and sensorial characteristics.

  20. Adjacent Habitat Influence on Stink Bug (Hemiptera: Pentatomidae) Densities and the Associated Damage at Field Corn and Soybean Edges

    PubMed Central

    Venugopal, P. Dilip; Coffey, Peter L.; Dively, Galen P.; Lamp, William O.

    2014-01-01

    The local dispersal of polyphagous, mobile insects within agricultural systems impacts pest management. In the mid-Atlantic region of the United States, stink bugs, especially the invasive Halyomorpha halys (Stål 1855), contribute to economic losses across a range of cropping systems. Here, we characterized the density of stink bugs along the field edges of field corn and soybean at different study sites. Specifically, we examined the influence of adjacent managed and natural habitats on the density of stink bugs in corn and soybean fields at different distances along transects from the field edge. We also quantified damage to corn grain, and to soybean pods and seeds, and measured yield in relation to the observed stink bug densities at different distances from field edge. Highest density of stink bugs was limited to the edge of both corn and soybean fields. Fields adjacent to wooded, crop and building habitats harbored higher densities of stink bugs than those adjacent to open habitats. Damage to corn kernels and to soybean pods and seeds increased with stink bug density in plots and was highest at the field edges. Stink bug density was also negatively associated with yield per plant in soybean. The spatial pattern of stink bugs in both corn and soybeans, with significant edge effects, suggests the use of pest management strategies for crop placement in the landscape, as well as spatially targeted pest suppression within fields. PMID:25295593

  1. Adjacent habitat influence on stink bug (Hemiptera: Pentatomidae) densities and the associated damage at field corn and soybean edges.

    PubMed

    Venugopal, P Dilip; Coffey, Peter L; Dively, Galen P; Lamp, William O

    2014-01-01

    The local dispersal of polyphagous, mobile insects within agricultural systems impacts pest management. In the mid-Atlantic region of the United States, stink bugs, especially the invasive Halyomorpha halys (Stål 1855), contribute to economic losses across a range of cropping systems. Here, we characterized the density of stink bugs along the field edges of field corn and soybean at different study sites. Specifically, we examined the influence of adjacent managed and natural habitats on the density of stink bugs in corn and soybean fields at different distances along transects from the field edge. We also quantified damage to corn grain, and to soybean pods and seeds, and measured yield in relation to the observed stink bug densities at different distances from field edge. Highest density of stink bugs was limited to the edge of both corn and soybean fields. Fields adjacent to wooded, crop and building habitats harbored higher densities of stink bugs than those adjacent to open habitats. Damage to corn kernels and to soybean pods and seeds increased with stink bug density in plots and was highest at the field edges. Stink bug density was also negatively associated with yield per plant in soybean. The spatial pattern of stink bugs in both corn and soybeans, with significant edge effects, suggests the use of pest management strategies for crop placement in the landscape, as well as spatially targeted pest suppression within fields.

  2. Climate Effects on Corn Yield in Missouri(.

    NASA Astrophysics Data System (ADS)

    Hu, Qi; Buyanovsky, Gregory

    2003-11-01

    Understanding climate effects on crop yield has been a continuous endeavor aiming at improving farming technology and management strategy, minimizing negative climate effects, and maximizing positive climate effects on yield. Many studies have examined climate effects on corn yield in different regions of the United States. However, most of those studies used yield and climate records that were shorter than 10 years and were for different years and localities. Although results of those studies showed various influences of climate on corn yield, they could be time specific and have been difficult to use for deriving a comprehensive understanding of climate effects on corn yield. In this study, climate effects on corn yield in central Missouri are examined using unique long-term (1895 1998) datasets of both corn yield and climate. Major results show that the climate effects on corn yield can only be explained by within-season variations in rainfall and temperature and cannot be distinguished by average growing-season conditions. Moreover, the growing-season distributions of rainfall and temperature for high-yield years are characterized by less rainfall and warmer temperature in the planting period, a rapid increase in rainfall, and more rainfall and warmer temperatures during germination and emergence. More rainfall and cooler-than-average temperatures are key features in the anthesis and kernel-filling periods from June through August, followed by less rainfall and warmer temperatures during the September and early October ripening time. Opposite variations in rainfall and temperature in the growing season correspond to low yield. Potential applications of these results in understanding how climate change may affect corn yield in the region also are discussed.

  3. Multiple kernel SVR based on the MRE for remote sensing water depth fusion detection

    NASA Astrophysics Data System (ADS)

    Wang, Jinjin; Ma, Yi; Zhang, Jingyu

    2018-03-01

    Remote sensing has an important means of water depth detection in coastal shallow waters and reefs. Support vector regression (SVR) is a machine learning method which is widely used in data regression. In this paper, SVR is used to remote sensing multispectral bathymetry. Aiming at the problem that the single-kernel SVR method has a large error in shallow water depth inversion, the mean relative error (MRE) of different water depth is retrieved as a decision fusion factor with single kernel SVR method, a multi kernel SVR fusion method based on the MRE is put forward. And taking the North Island of the Xisha Islands in China as an experimentation area, the comparison experiments with the single kernel SVR method and the traditional multi-bands bathymetric method are carried out. The results show that: 1) In range of 0 to 25 meters, the mean absolute error(MAE)of the multi kernel SVR fusion method is 1.5m,the MRE is 13.2%; 2) Compared to the 4 single kernel SVR method, the MRE of the fusion method reduced 1.2% (1.9%) 3.4% (1.8%), and compared to traditional multi-bands method, the MRE reduced 1.9%; 3) In 0-5m depth section, compared to the single kernel method and the multi-bands method, the MRE of fusion method reduced 13.5% to 44.4%, and the distribution of points is more concentrated relative to y=x.

  4. 40 CFR 180.635 - Spinetoram; tolerances for residues.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... Banana 0.25 Beet, sugar, molasses 0.75 Biriba 0.30 Brassica, head and stem, subgroup 5A 2.0 Brassica... Cherimoya 0.30 Citrus, dried pulp 0.50 Citrus, oil 3.0 Corn, sweet, kernel plus cob with husks removed 0.04... 0.30 Star fruit 0.30 Strawberry 1.0 Sugar apple 0.30 Ti, leaves 10 Vegetable, bulb, group 3, except...

  5. 40 CFR 180.495 - Spinosad; tolerances for residues.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ....2 Atemoya 0.3 Avocado 0.3 Banana 0.25 Beet, sugar, molasses 0.75 Biriba 0.3 Brassica, head and stem... liver 5.0 Cherimoya 0.3 Citrus, oil 3.0 Citrus, dried pulp 0.5 Coriander, leaves 8.0 Corn, sweet, kernel... Star apple 0.3 Starfruit 0.3 Strawberry 1.0 Sugar apple 0.3 Ti, leaves 10.0 Vegetable, bulb, group 3...

  6. 40 CFR 180.495 - Spinosad; tolerances for residues.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ....2 Atemoya 0.3 Avocado 0.3 Banana 0.25 Beet, sugar, molasses 0.75 Biriba 0.3 Brassica, head and stem... liver 5.0 Cherimoya 0.3 Citrus, oil 3.0 Citrus, dried pulp 0.5 Coriander, leaves 8.0 Corn, sweet, kernel... Star apple 0.3 Starfruit 0.3 Strawberry 1.0 Sugar apple 0.3 Ti, leaves 10.0 Vegetable, bulb, group 3...

  7. 40 CFR 180.635 - Spinetoram; tolerances for residues.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... Banana 0.25 Beet, sugar, molasses 0.75 Biriba 0.30 Brassica, head and stem, subgroup 5A 2.0 Brassica... Cherimoya 0.30 Citrus, dried pulp 0.50 Citrus, oil 3.0 Corn, sweet, kernel plus cob with husks removed 0.04... 0.30 Star fruit 0.30 Strawberry 1.0 Sugar apple 0.30 Ti, leaves 10 Vegetable, bulb, group 3, except...

  8. 40 CFR 180.495 - Spinosad; tolerances for residues.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ....2 Atemoya 0.3 Avocado 0.3 Banana 0.25 Beet, sugar, molasses 0.75 Biriba 0.3 Brassica, head and stem... liver 5.0 Cherimoya 0.3 Citrus, oil 3.0 Citrus, dried pulp 0.5 Coriander, leaves 8.0 Corn, sweet, kernel... Star apple 0.3 Starfruit 0.3 Strawberry 1.0 Sugar apple 0.3 Ti, leaves 10.0 Vegetable, bulb, group 3...

  9. 40 CFR 180.635 - Spinetoram; tolerances for residues.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... Banana 0.25 Beet, sugar, molasses 0.75 Biriba 0.30 Brassica, head and stem, subgroup 5A 2.0 Brassica... Cherimoya 0.30 Citrus, dried pulp 0.50 Citrus, oil 3.0 Corn, sweet, kernel plus cob with husks removed 0.04... 0.30 Star fruit 0.30 Strawberry 1.0 Sugar apple 0.30 Ti, leaves 10 Vegetable, bulb, group 3, except...

  10. Effects of irradiation on fungi and fumonisin B(1) in corn, and of microwave-popping on fumonisins in popcorn.

    PubMed

    D'Ovidio, K L; Trucksess, M W; Devries, J W; Bean, G

    2007-07-01

    Fumonisins are metabolites produced in corn primarily by the fungus Fusarium verticillioides (F. moniliforme) and are toxic to humans and animals. Fumonisin B(1) (FB(1)) is the primary fumonisin produced and is found frequently in corn kernels, some of which may be used as food or food ingredients. A three-part study was conducted to determine the effects of gamma- and electron beam irradiation on the levels of fumonisins in naturally contaminated field corn, and the effects of microwave-popping on fumonisins in selected, naturally contaminated popcorn. To date, no effective means have been found to reduce consistently mycotoxin levels once foods are contaminated. Aqueous solutions of FB(1) at various concentrations, samples of whole corn, and samples of ground corn containing known levels of FB(1) were irradiated with various levels of cobalt and electron beam irradiation. Popcorn samples, taken from the reject streams of popcorn processing, were popped using normal microwave-popping conditions. FB(1) in aqueous solutions was reduced by 99.7% using a minimal level of irradiation (0.5 kGray). Gamma- and electron beam irradiation did not significantly reduce levels of FB(1) in whole and ground corn. Aspergillus sp., Penicillium sp. and Fusarium sp. fungi were totally eliminated at 30 kGray in ground corn and at 100 kGray in whole corn. The normal commercial cleaning processes for microwave popcorn before packaging reduced fumonisins to <0.03 microg g(-1) for the cleaned product stream. Microwave popping of popcorn from reject streams of the cleaning operation that contained fumonisins resulted in significant reduction of the mould toxin.

  11. A Novel Extreme Learning Machine Classification Model for e-Nose Application Based on the Multiple Kernel Approach

    PubMed Central

    Jian, Yulin; Huang, Daoyu; Yan, Jia; Lu, Kun; Huang, Ying; Wen, Tailai; Zeng, Tanyue; Zhong, Shijie; Xie, Qilong

    2017-01-01

    A novel classification model, named the quantum-behaved particle swarm optimization (QPSO)-based weighted multiple kernel extreme learning machine (QWMK-ELM), is proposed in this paper. Experimental validation is carried out with two different electronic nose (e-nose) datasets. Being different from the existing multiple kernel extreme learning machine (MK-ELM) algorithms, the combination coefficients of base kernels are regarded as external parameters of single-hidden layer feedforward neural networks (SLFNs). The combination coefficients of base kernels, the model parameters of each base kernel, and the regularization parameter are optimized by QPSO simultaneously before implementing the kernel extreme learning machine (KELM) with the composite kernel function. Four types of common single kernel functions (Gaussian kernel, polynomial kernel, sigmoid kernel, and wavelet kernel) are utilized to constitute different composite kernel functions. Moreover, the method is also compared with other existing classification methods: extreme learning machine (ELM), kernel extreme learning machine (KELM), k-nearest neighbors (KNN), support vector machine (SVM), multi-layer perceptron (MLP), radical basis function neural network (RBFNN), and probabilistic neural network (PNN). The results have demonstrated that the proposed QWMK-ELM outperforms the aforementioned methods, not only in precision, but also in efficiency for gas classification. PMID:28629202

  12. Twin- or single-screw extrusion of raw soybeans and preconditioned soybean meal and corn as individual ingredients or as corn-soybean product blends in diets for weanling swine.

    PubMed

    Veum, T L; Serrano, X; Hsieh, F H

    2017-03-01

    Two 28-d experiments were conducted to evaluate the effects of extrusion of ground yellow corn, solvent-extracted soybean meal (SBM), and cracked whole soybeans (CWS) individually or as corn-soybean product blends on growth performance of weanling pigs. For Exp. 1, ground corn, SBM, and the corn-SBM blend were extruded at 137.5°C, 131.5°C, and 135.0°C, respectively, in a twin-screw extruder. Transit time was 60 s. Water was injected at 125 gmin during extrusion. The 5 treatments were the corn-SBM control diet and the diets with extruded (EX) corn + SBM, EX-SBM + corn, EX-corn + EX-SBM, and the EX-blend of corn-SBM. Ninety crossbred pigs with an initial average BW of 5.98 kg were allotted to 9 treatment replications with a barrow and gilt per pen. For Exp. 2, ground corn was preconditioned with water (10.0% of corn weight), and SBM was preconditioned with water and soybean oil (each at 20.0% of SBM weight) before extrusion. Raw CWS were not preconditioned. The corn, SBM, CWS, corn-SBM blend, and corn-CWS blend were extruded at 113.0°C, 132.0°C, 132.0°C, 88.0°C, and 102°C, respectively, with a single-screw extruder. Transit time was 30 s. The 8 isocaloric treatments were the corn-SBM control diet and the diets with EX-corn + SBM, EX-SBM + corn, EX-corn + EX-SBM, the EX-blend of corn-SBM, EX-CWS + corn, EX-CWS + EX-corn, and the EX-blend of corn-CWS. A total of 296 crossbred pigs with an initial average BW of 6.56 kg were allotted to 10 treatment replications. Sex and pigs per pen (3 or 4) were equalized within replication. Results for both experiments indicate that single- or twin-screw extrusion of ground corn or SBM as individual ingredients or as corn-SBM blends in diets for weanling pigs did not improve 28-d growth performance. However, for Exp. 2 weanling pigs fed the diets with EX-CWS + corn and EX-CWS + EX-corn had greater ( < 0.01) ADG and G:F, respectively, than pigs fed the corn-SBM control diet. The extrusion temperature of 102°C for the corn-CWS blend did not inactivate adequate protease inhibitors in CWS, and pigs fed that diet had poor growth performance. In conclusion, single-screw extrusion of CWS (132°C for 30 s) in diets for weanling pigs improved growth performance compared with pigs fed the corn-SBM control diet. However, twin- or single-screw extrusion of ground yellow corn or solvent-extracted SBM as individual ingredients or as corn-SBM blends in diets for weanling pigs did not improve growth performance compared with pigs fed the corn-SBM control diets.

  13. On the occurrence of aflatoxin M1 in milk and dairy products.

    PubMed

    Prandini, A; Tansini, G; Sigolo, S; Filippi, L; Laporta, M; Piva, G

    2009-05-01

    Aflatoxins are toxic fungal metabolites found in foods and feeds. When ruminants eat AFB(1)-feedstuffs, they metabolise the toxin and excrete AFM(1) in milk. To control AFM(1) in foods it is necessary to reduce AFB(1) contamination of feeds for dairy cattle by preventing fungal growth and AFB(1) formation in agricultural commodities intended for animal use. Corn and corn-based products are one of the most contaminated feedstuffs; therefore risk factor analysis of AFB(1) contamination in corn is necessary to evaluate risk of AFM(1) contamination in milk and milk products. During the corn silage production, the aflatoxins production is mostly influenced by: harvest time; fertilization; irrigation; pest control; silage moisture; and storage practices. Due to the lower moisture at harvest and to the conservation methods, the corn grain is mostly exposed to the contamination by Aspergillus species. Therefore, it is necessary to reduce the probability of this contaminant through choice of: hybrids; seeding time and density; suitable ploughing and fertirrigation; and chemical or biological control. Grains harvested with the lowest possible moisture and conservation moisture close to or less than 14% are necessary to reduce contamination risks, as is maintaining mass to homogeneous moisture. Kernel mechanical damage, grain cleaning practices and conservation temperature are also factors which need to be carefully controlled.

  14. Feasibility of detecting Aflatoxin B1 in single maize kernels using hyperspectral imaging

    USDA-ARS?s Scientific Manuscript database

    The feasibility of detecting Aflatoxin B1 (AFB1) in single maize kernel inoculated with Aspergillus flavus conidia in the field, as well as its spatial distribution in the kernels, was assessed using near-infrared hyperspectral imaging (HSI) technique. Firstly, an image mask was applied to a pixel-b...

  15. An enzyme complex increases in vitro dry matter digestibility of corn and wheat in pigs.

    PubMed

    Park, Kyu Ree; Park, Chan Sol; Kim, Beob Gyun

    2016-01-01

    Two experiments were conducted to determine the effects of enzyme complex on in vitro dry matter (DM) digestibility for feed ingredients. The objective of experiment 1 was to screen feed ingredients that can be effective substrates for an enzyme complex, mainly consisted of β-pentosanase, β-glucanase and α-amylase, using in vitro digestibility methods. In experiment 1, the test ingredients were three grain sources (barley, corn and wheat) and six protein supplements (canola meal, copra expellers, cottonseed meal, distillers dried grains with solubles, palm kernel expellers and soybean meal). In vitro ileal and total tract digestibility (IVID and IVTTD, respectively) of DM for test ingredients were determined. In vitro digestibility methods consisted of two- or three-step procedure simulating in vivo digestion in the pig gastrointestinal tracts with or without enzyme complex. As the enzyme complex added, the IVID of DM for corn and wheat increased (p < 0.05) by 5.0 and 2.6 percentage unit, respectively. The IVTTD of DM for corn increased (p < 0.05) by 3.1 percentage unit with enzyme complex addition. As the effect of enzyme complex was the greatest in corn digestibility, corn grains were selected to determine the in vitro digestibility of the fractions (starch, germ, hull and gluten) that maximally respond to the enzyme complex in experiment 2. The IVID of DM for corn starch, germ and hull increased (p < 0.05) by 16.0, 2.8 and 1.2 percentage unit, respectively. The IVTTD of DM for corn starch and hull also increased (p < 0.05) by 8.6 and 0.9 percentage unit, respectively, with enzyme complex addition. In conclusion, the enzyme complex increases in vitro DM digestibility of corn and wheat, and the digestibility increments of corn are mainly attributed to the increased digestibility of corn starch.

  16. Temporal Effects on Internal Fluorescence Emissions Associated with Aflatoxin Contamination from Corn Kernel Cross-Sections Inoculated with Toxigenic and Atoxigenic Aspergillus flavus.

    PubMed

    Hruska, Zuzana; Yao, Haibo; Kincaid, Russell; Brown, Robert L; Bhatnagar, Deepak; Cleveland, Thomas E

    2017-01-01

    Non-invasive, easy to use and cost-effective technology offers a valuable alternative for rapid detection of carcinogenic fungal metabolites, namely aflatoxins, in commodities. One relatively recent development in this area is the use of spectral technology. Fluorescence hyperspectral imaging, in particular, offers a potential rapid and non-invasive method for detecting the presence of aflatoxins in maize infected with the toxigenic fungus Aspergillus flavus . Earlier studies have shown that whole maize kernels contaminated with aflatoxins exhibit different spectral signatures from uncontaminated kernels based on the external fluorescence emission of the whole kernels. Here, the effect of time on the internal fluorescence spectral emissions from cross-sections of kernels infected with toxigenic and atoxigenic A. flavus , were examined in order to elucidate the interaction between the fluorescence signals emitted by some aflatoxin contaminated maize kernels and the fungal invasion resulting in the production of aflatoxins. First, the difference in internal fluorescence emissions between cross-sections of kernels incubated in toxigenic and atoxigenic inoculum was assessed. Kernels were inoculated with each strain for 5, 7, and 9 days before cross-sectioning and imaging. There were 270 kernels (540 halves) imaged, including controls. Second, in a different set of kernels (15 kernels/group; 135 total), the germ of each kernel was separated from the endosperm to determine the major areas of aflatoxin accumulation and progression over nine growth days. Kernels were inoculated with toxigenic and atoxigenic fungal strains for 5, 7, and 9 days before the endosperm and germ were separated, followed by fluorescence hyperspectral imaging and chemical aflatoxin determination. A marked difference in fluorescence intensity was shown between the toxigenic and atoxigenic strains on day nine post-inoculation, which may be a useful indicator of the location of aflatoxin contamination. This finding suggests that both, the fluorescence peak shift and intensity as well as timing, may be essential in distinguishing toxigenic and atoxigenic fungi based on spectral features. Results also reveal a possible preferential difference in the internal colonization of maize kernels between the toxigenic and atoxigenic strains of A. flavus suggesting a potential window for differentiating the strains based on fluorescence spectra at specific time points.

  17. Temporal Effects on Internal Fluorescence Emissions Associated with Aflatoxin Contamination from Corn Kernel Cross-Sections Inoculated with Toxigenic and Atoxigenic Aspergillus flavus

    PubMed Central

    Hruska, Zuzana; Yao, Haibo; Kincaid, Russell; Brown, Robert L.; Bhatnagar, Deepak; Cleveland, Thomas E.

    2017-01-01

    Non-invasive, easy to use and cost-effective technology offers a valuable alternative for rapid detection of carcinogenic fungal metabolites, namely aflatoxins, in commodities. One relatively recent development in this area is the use of spectral technology. Fluorescence hyperspectral imaging, in particular, offers a potential rapid and non-invasive method for detecting the presence of aflatoxins in maize infected with the toxigenic fungus Aspergillus flavus. Earlier studies have shown that whole maize kernels contaminated with aflatoxins exhibit different spectral signatures from uncontaminated kernels based on the external fluorescence emission of the whole kernels. Here, the effect of time on the internal fluorescence spectral emissions from cross-sections of kernels infected with toxigenic and atoxigenic A. flavus, were examined in order to elucidate the interaction between the fluorescence signals emitted by some aflatoxin contaminated maize kernels and the fungal invasion resulting in the production of aflatoxins. First, the difference in internal fluorescence emissions between cross-sections of kernels incubated in toxigenic and atoxigenic inoculum was assessed. Kernels were inoculated with each strain for 5, 7, and 9 days before cross-sectioning and imaging. There were 270 kernels (540 halves) imaged, including controls. Second, in a different set of kernels (15 kernels/group; 135 total), the germ of each kernel was separated from the endosperm to determine the major areas of aflatoxin accumulation and progression over nine growth days. Kernels were inoculated with toxigenic and atoxigenic fungal strains for 5, 7, and 9 days before the endosperm and germ were separated, followed by fluorescence hyperspectral imaging and chemical aflatoxin determination. A marked difference in fluorescence intensity was shown between the toxigenic and atoxigenic strains on day nine post-inoculation, which may be a useful indicator of the location of aflatoxin contamination. This finding suggests that both, the fluorescence peak shift and intensity as well as timing, may be essential in distinguishing toxigenic and atoxigenic fungi based on spectral features. Results also reveal a possible preferential difference in the internal colonization of maize kernels between the toxigenic and atoxigenic strains of A. flavus suggesting a potential window for differentiating the strains based on fluorescence spectra at specific time points. PMID:28966606

  18. Influence of distillers grains resulting from a cellulosic ethanol process utilizing corn kernel fiber on nutrient digestibility of lambs and steer feedlot performance.

    PubMed

    Lundy, E L; Loy, D D; Hansen, S L

    2015-05-01

    Two experiments evaluated the effects on animal performance of traditional wet distillers grains (T-WDG) compared to cellulosic wet distillers grains (C-WDG) from a new process converting corn kernel fiber into cellulosic ethanol. The resulting coproduct has greater CP and decreased starch and ether extract (EE) concentrations (34.0% CP, 1.6% starch, 7.3% EE) compared to T-WDG (32.5% CP, 5.1% starch, 7.7% EE). In Exp. 1, 10 wethers (34.1 ± 2.35 kg, SD) were used in a replicated 5 × 5 Latin square to evaluate digestibility of DM, fiber, EE, and N. Diets including a corn-based control with 7.5% T-WDG and 7.5% C-WDG (CORN); 30% or 45% inclusion of T-WDG; and 30% or 45% inclusion of C-WDG. Between CORN, 30% T-WDG, 45% T-WDG, or 45% C-WDG, DMI was not different (P ≥ 0.11), but lambs fed 30% C-WDG had decreased (P ≤ 0.05) DMI compared to other diets. Compared to CORN and 30% T-WDG, DM digestibility was lesser ( P< 0.05) for 45% T-WDG or 30% C-WDG, while 45% C-WDG has lesser (P ≤ 0.05) DM digestibility than all other treatments. Digestibility of NDF was not affected by treatment (P= 0.13), and ADF digestibility was not different ( 0.21) between CORN, 30% T-WDG, 30% C-WDG, or 45% C-WDG. However, digestibility of ADF tended to differ (P = 0.06) between 30% T-WDG and 45% C-WDG and was greater (P ≤ 0.05) in lambs fed 45% T-WDG compared to other treatments. In Exp. 2, 168 steers (421 ± 23.9 kg, SD) were used in a randomized complete block design to determine the impact of C-WDG or T-WDG on growth performance and carcass characteristics. Diets included a corn-based control (CON), 30% T-WDG (TRAD), 30% C-WDG (CEL), and 18% C-WDG and 12% condensed corn distillers solubles (CEL+CCDS; = 7 pens of 6 steers/pen). Steers fed TRAD had improved (P ≤ 0.01) ADG, G:F, and HCW compared to steers fed the CON diet. No differences (P ≥ 0.16) in ADG and HCW were noted for steers fed CEL compared to TRAD; however, steers fed CEL had decreased (P = 0.01) G:F due to increased (P = 0.02) DMI compared to TRAD-fed steers. Steers fed CEL or CEL+CCDS did not differ (P = 0.50) in G:F, but CEL+CCDS-fed steers had lesser (P ≤ 0.01) DMI and ADG likely due to greater S content of the CEL+CCDS diet. Overall, while DM digestibility of lambs fed 30% C-WDG was lesser than 30% T-WDG, performance of steers finished on C-WDG was similar to those fed T-WDG. However, WDG from the secondary fermentation appeared to have lesser energy than T-WDG, while maintaining similar cattle performance to corn-fed controls.

  19. Comparison of tungsten carbide and stainless steel ball bearings for grinding single maize kernels in a reciprocating grinder

    USDA-ARS?s Scientific Manuscript database

    Reciprocating grinders can grind single maize kernels by shaking the kernel in a vial with a ball bearing. This process results in a grind quality that is not satisfactory for many experiments. Tungesten carbide ball bearings are nearly twice as dense as steel, so we compared their grinding performa...

  20. Effects of air, ozone, and nitrogen dioxide exposure on the oxidation of corn and soybean lipids

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Brooks, R.I.; Csallany, A.S.

    1978-01-01

    Whole, halves and ground samples of soybean seeds and whole corn kernels were exposed to air, 15 ppm NO2, or 1.5 ppm O3 continuously for 100 h at room temperature. Lipid oxidation was measured by polyunsaturated fatty acid (PUFA) and tocopherol destruction and formation of fluorescent lipofuscin-like pigments. Exposure of whole soybean and corn seeds to air, 15 ppm NO2, or 1.5 ppm O3 was found to induce no PUFA and tocopherol destruction and no formation of lipofuscin-like pigments. Tocopherol and PUFA destruction and lipofuscin-like pigment formation were detected in samples of soybean seed halves exposed to 15 ppm NO2more » or 1.5 ppm O3; however, only tocopherol destruction occurred in soybean halves exposed to air. Ground soybean samples exposed to air, 15 ppm NO2, or 1.5 ppm O3 incurred the greatest PUFA and tocopherol destruction and lipofuscin-like pigment formation. 25 references, 3 figures, 4 tables.« less

  1. Analytical and numerical solutions for mass diffusion in a composite cylindrical body

    NASA Astrophysics Data System (ADS)

    Kumar, A.

    1980-12-01

    The analytical and numerical solution techniques were investigated to study moisture diffusion problems in cylindrical bodies that are assumed to be composed of a finite number of layers of different materials. A generalized diffusion model for an n-layer cylindrical body with discontinuous moisture content at the interfaces was developed and the formal solutions were obtained. The model is to be used for describing mass transfer rates of any composite body, such as an ear of corn which could be assumed of consisting two different layers: the inner core represents the woody cob and the outer cylinder represents the kernel layer. Data describing the fully exposed drying characteristics of ear corn at high air velocity were obtained under different drying conditions. Ear corns were modeled as homogeneous bodies since composite model did not improve the fit substantially. A computer program using multidimensional optimization technique showed that diffusivity was an exponential function of moisture content and an arrhenius function of temperature of drying air.

  2. Genomic Prediction of Genotype × Environment Interaction Kernel Regression Models.

    PubMed

    Cuevas, Jaime; Crossa, José; Soberanis, Víctor; Pérez-Elizalde, Sergio; Pérez-Rodríguez, Paulino; Campos, Gustavo de Los; Montesinos-López, O A; Burgueño, Juan

    2016-11-01

    In genomic selection (GS), genotype × environment interaction (G × E) can be modeled by a marker × environment interaction (M × E). The G × E may be modeled through a linear kernel or a nonlinear (Gaussian) kernel. In this study, we propose using two nonlinear Gaussian kernels: the reproducing kernel Hilbert space with kernel averaging (RKHS KA) and the Gaussian kernel with the bandwidth estimated through an empirical Bayesian method (RKHS EB). We performed single-environment analyses and extended to account for G × E interaction (GBLUP-G × E, RKHS KA-G × E and RKHS EB-G × E) in wheat ( L.) and maize ( L.) data sets. For single-environment analyses of wheat and maize data sets, RKHS EB and RKHS KA had higher prediction accuracy than GBLUP for all environments. For the wheat data, the RKHS KA-G × E and RKHS EB-G × E models did show up to 60 to 68% superiority over the corresponding single environment for pairs of environments with positive correlations. For the wheat data set, the models with Gaussian kernels had accuracies up to 17% higher than that of GBLUP-G × E. For the maize data set, the prediction accuracy of RKHS EB-G × E and RKHS KA-G × E was, on average, 5 to 6% higher than that of GBLUP-G × E. The superiority of the Gaussian kernel models over the linear kernel is due to more flexible kernels that accounts for small, more complex marker main effects and marker-specific interaction effects. Copyright © 2016 Crop Science Society of America.

  3. Properties of Particle Size Distribution from Milled White Nixtamalized Corn Kernels as a Function of Steeping Time

    PubMed Central

    Fernández-Muñoz, J. L.; Zapata-Torrez, M.; Márquez-Herrera, A.; Sánchez-Sinencio, F.; Mendoza-Álvarez, J. G.; Meléndez-Lira, M.; Zelaya-Ángel, O.

    2016-01-01

    This paper focuses on the particle size distribution (PSD) changes during nixtamalized corn kernels (NCK) as a function of the steeping time (ST). The process to obtain powder or corn flour from NCK was as follows: (i) the NCK with different STs were wet-milled in a stone mill, (ii) dehydrated by a Flash type dryer, and (iii) pulverized with a hammer mill and sieved with a 20 mesh. The powder was characterized by measuring the PSD percentage, calcium percentage (CP), peak viscosity at 90°C (PV), and crystallinity percentage (CP). The PSD of the powder as a function of ST was determined by sieving in Ro-TAP equipment. By sieving, five fractions of powder were obtained employing meshes 30, 40, 60, 80, and 100. The final weight of the PSD obtained from the sieving process follows a Gaussian profile with the maximum corresponding to the average particle obtained with mesh 60. The calcium percentage as a function of ST follows a behavior similar to the weight of the PSD. The study of crystallinity versus the mesh number shows that it decreases for smaller mesh number. A similar behavior is observed as steeping time increases, except around ST = 8 h where the gelatinization of starch is observed. The trend of increasing viscosity values of the powder samples occurs when increasing ST and decreasing particle size. The ST significantly changes the crystallinity and viscosity values of the powder and, in both cases, a minimum value is observed in the region 7–9 h. The experimental results show that the viscosity increases (decreases) if the particle size decreases (increases). PMID:27375921

  4. Kernel-aligned multi-view canonical correlation analysis for image recognition

    NASA Astrophysics Data System (ADS)

    Su, Shuzhi; Ge, Hongwei; Yuan, Yun-Hao

    2016-09-01

    Existing kernel-based correlation analysis methods mainly adopt a single kernel in each view. However, only a single kernel is usually insufficient to characterize nonlinear distribution information of a view. To solve the problem, we transform each original feature vector into a 2-dimensional feature matrix by means of kernel alignment, and then propose a novel kernel-aligned multi-view canonical correlation analysis (KAMCCA) method on the basis of the feature matrices. Our proposed method can simultaneously employ multiple kernels to better capture the nonlinear distribution information of each view, so that correlation features learned by KAMCCA can have well discriminating power in real-world image recognition. Extensive experiments are designed on five real-world image datasets, including NIR face images, thermal face images, visible face images, handwritten digit images, and object images. Promising experimental results on the datasets have manifested the effectiveness of our proposed method.

  5. Occurrence of 'super soft' wheat kernel texture in hexaploid and tetraploid wheats

    USDA-ARS?s Scientific Manuscript database

    Wheat kernel texture is a key trait that governs milling performance, flour starch damage, flour particle size, flour hydration properties, and baking quality. Kernel texture is commonly measured using the Perten Single Kernel Characterization System (SKCS). The SKCS returns texture values (Hardness...

  6. Multiple kernel learning using single stage function approximation for binary classification problems

    NASA Astrophysics Data System (ADS)

    Shiju, S.; Sumitra, S.

    2017-12-01

    In this paper, the multiple kernel learning (MKL) is formulated as a supervised classification problem. We dealt with binary classification data and hence the data modelling problem involves the computation of two decision boundaries of which one related with that of kernel learning and the other with that of input data. In our approach, they are found with the aid of a single cost function by constructing a global reproducing kernel Hilbert space (RKHS) as the direct sum of the RKHSs corresponding to the decision boundaries of kernel learning and input data and searching that function from the global RKHS, which can be represented as the direct sum of the decision boundaries under consideration. In our experimental analysis, the proposed model had shown superior performance in comparison with that of existing two stage function approximation formulation of MKL, where the decision functions of kernel learning and input data are found separately using two different cost functions. This is due to the fact that single stage representation helps the knowledge transfer between the computation procedures for finding the decision boundaries of kernel learning and input data, which inturn boosts the generalisation capacity of the model.

  7. Single Mode Optical Waveguide Design Study.

    DTIC Science & Technology

    1981-11-23

    AD-I7g62 CORNING GLASS WORKS NY FIG 20/6 ADA0 21 SINGLE MODE OPTICAL WAVEGUIDE DESIGN STUDY.(U) NOV 81 V A BHAGAVATJLA. D B KECK, R A WESTWIG N00173...Ralph A. Westwig Corning Glass Works ’ 1 / Research and Development-Division Sullivan Park Corning, New York Th document ha bern c -yro vd Spubc rlea...Authors: Venkata A. Bhagavatula Donald B. Keck Ralph A. Westwig Corning Glass Works Research and Development Division Sullivan Park Corning, New York 11

  8. Ethanol from Agriculture for Arkansas and America

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Hood, Elizabeth E

    The purpose of this project was to develop technology that would facilitate production of sugars from agricultural residues to enable biofuels and biobased product manufacturing. Our primary technology is to use genetic engineering to put bacterial and fungal cellulase genes into corn kernels, using the grain as the production system for the enzymes. At the beginning of this DoE funded program, we were producing two cellulases—E1 endocellulase from a bacterium found in a hot spring at Yellowstone National Park, and CBH I exocellulase from a wood rot fungus. Our team developed several new regulatory sequences (promoters) that increased enzyme proteinmore » accumulation in two kernel compartments (embryo and endosperm). We were also able to capitalize on the diverse genetics of corn to increase protein accumulation. High oil germplasm in particular was instrumental in this increase. A second task in the program was to produce enzymes and proteins that enhanced the activity of the E1 and CBH I enzymes. Our team produced CBH II, from the same wood rot fungus at a level that enabled highly enhanced deconstruction activity of E1 and CBH I in a synergistic manner. We analyzed an additional protein, expansin from cucumber that was expressed in the maize grain expression system. This protein had been previously shown to enhance cellulase activity (D. Cosgrove, Penn State University), and required a large-scale production platform. Our team showed that the corn production system allows industrial amounts of active expansin to be harvested from the grain. One of the challenges of any new production system is to maximize recovery of active ingredient from the raw materials at a cost compatible with its final use. Our team showed that low pH extraction of grain solubilized the enzymes without contamination of native corn protein and active product could be concentrated through ultrafiltration. The final outcomes of this project were the following: 3 cellulase enzymes and the synergistic protein expansin produced at high levels in corn grain, new promoters and combinations of promoters to enhance protein accumulation in grain, application of unique germplasm pools to enhance protein accumulation, and highly efficient processing enabling cost-effective production of cellulases that are highly active in biomass deconstruction.« less

  9. Identification of corn fields using multidate radar data

    NASA Technical Reports Server (NTRS)

    Shanmugan, K. S.; Ulaby, F. T.; Narayanan, V.; Dobson, C.

    1983-01-01

    Airborne C- and L-band radar data acquired over a test site in western kansas were analyzed to determine corn-field identification accuracies obtainable using single-channel, multichannel, and multidate radar data. An automated pattern-recognition procedure was used to classify 144 fields into three categories: corn, pasture land, and bare soil (including wheat stubble and fallow). Corn fields were identified with accuracies ranging from 85 percent for single channel, single-date data to 100 percent for single-channel, multidate data. The effects of radar parameters such as frequency, polarization, and look angle as well as the effects of soil moisture on the classification accuracy are also presented.

  10. A challenge for the seed mixture refuge strategy in Bt maize: impact of cross-pollination on an ear-feeding pest, corn earworm.

    PubMed

    Yang, Fei; Kerns, David L; Head, Graham P; Leonard, B Rogers; Levy, Ronnie; Niu, Ying; Huang, Fangneng

    2014-01-01

    To counter the threat of insect resistance, Bacillus thuringiensis (Bt) maize growers in the U.S. are required to plant structured non-Bt maize refuges. Concerns with refuge compliance led to the introduction of seed mixtures, also called RIB (refuge-in-the-bag), as an alternative approach for implementing refuge for Bt maize products in the U.S. Maize Belt. A major concern in RIB is cross-pollination of maize hybrids that can cause Bt proteins to be present in refuge maize kernels and negatively affect refuge insects. Here we show that a mixed planting of 5% nonBt and 95% Bt maize containing the SmartStax traits expressing Cry1A.105, Cry2Ab2 and Cry1F did not provide an effective refuge for an important above-ground ear-feeding pest, the corn earworm, Helicoverpa zea (Boddie). Cross-pollination in RIB caused a majority (>90%) of refuge kernels to express ≥ one Bt protein. The contamination of Bt proteins in the refuge ears reduced neonate-to-adult survivorship of H. zea to only 4.6%, a reduction of 88.1% relative to larvae feeding on ears of pure non-Bt maize plantings. In addition, the limited survivors on refuge ears had lower pupal mass and took longer to develop to adults.

  11. Digestible and metabolizable energy concentrations in copra meal, palm kernel meal, and cassava root fed to growing pigs.

    PubMed

    Son, A R; Ji, S Y; Kim, B G

    2012-12-01

    An experiment was conducted to measure DE and ME in copra (Cocos nucifera) meal (CM), palm kernel meal (PKM), and cassava (Manihot esculenta) root (CR) in growing pigs. Eight boars with an initial BW of 67.3 ± 5.8 kg were individually housed in metabolism crates that were equipped with a feeder and a nipple drinker. A replicated 4 × 4 Latin square design was used with 4 dietary treatments, 4 periods, and 8 animals. A basal diet mainly contained corn (Zea mays) and soybean (Glycine max) meal. Three additional diets were formulated to contain 30% of CM, PKM, and CR. All diets contained the same proportion of corn:soybean meal ratio at 4.14:1. The apparent total tract digestibility of energy was 89.5, 84.1, 82.4, and 87.9% (P < 0.001) in the basal, CM, PKM, and CR diets, respectively. The DE in CM and PKM were greater (P < 0.05) than in CR (3440 and 3238 vs. 2966 kcal/kg as-fed). The ME in CM was greater (P < 0.05) than in CR (3340 vs. 2935 kcal/kg as-fed) but not different from the ME in PKM (3168 kcal/kg as-fed). In conclusion, CM and PKM have a higher DE value than CR, and CM has a higher ME value than CR.

  12. Regulation of Fumonisin B1 Biosynthesis and Conidiation in Fusarium verticillioides by a Cyclin-Like (C-Type) Gene, FCC1†

    PubMed Central

    Shim, Won-Bo; Woloshuk, Charles P.

    2001-01-01

    Fumonisins are a group of mycotoxins produced in corn kernels by the plant-pathogenic fungus Fusarium verticillioides. A mutant of the fungus, FT536, carrying a disrupted gene named FCC1 (for Fusarium cyclin C1) resulting in altered fumonisin B1 biosynthesis was generated. FCC1 contains an open reading frame of 1,018 bp, with one intron, and encodes a putative 319-amino-acid polypeptide. This protein is similar to UME3 (also called SRB11 or SSN8), a cyclin C of Saccharomyces cerevisiae, and contains three conserved motifs: a cyclin box, a PEST-rich region, and a destruction box. Also similar to the case for C-type cyclins, FCC1 was constitutively expressed during growth. When strain FT536 was grown on corn kernels or on defined minimal medium at pH 6, conidiation was reduced and FUM5, the polyketide synthase gene involved in fumonisin B1 biosynthesis, was not expressed. However, when the mutant was grown on a defined minimal medium at pH 3, conidiation was restored, and the blocks in expression of FUM5 and fumonisin B1 production were suppressed. Our data suggest that FCC1 plays an important role in signal transduction regulating secondary metabolism (fumonisin biosynthesis) and fungal development (conidiation) in F. verticillioides. PMID:11282612

  13. Hyperspectral data discrimination methods

    NASA Astrophysics Data System (ADS)

    Casasent, David P.; Chen, Xuewen

    2000-12-01

    Hyperspectral data provides spectral response information that provides detailed chemical, moisture, and other description of constituent parts of an item. These new sensor data are useful in USDA product inspection. However, such data introduce problems such as the curse of dimensionality, the need to reduce the number of features used to accommodate realistic small training set sizes, and the need to employ discriminatory features and still achieve good generalization (comparable training and test set performance). Several two-step methods are compared to a new and preferable single-step spectral decomposition algorithm. Initial results on hyperspectral data for good/bad almonds and for good/bad (aflatoxin infested) corn kernels are presented. The hyperspectral application addressed differs greatly from prior USDA work (PLS) in which the level of a specific channel constituent in food was estimated. A validation set (separate from the test set) is used in selecting algorithm parameters. Threshold parameters are varied to select the best Pc operating point. Initial results show that nonlinear features yield improved performance.

  14. The Location of Genes Governing Long First Internode of Corn

    PubMed Central

    Troyer, A. F.

    1997-01-01

    Knowing breeding behavior and cytological location of traits helps breeders. My objective was to locate dominant genes for long first internode of corn (Zea mays L.). I determined that Hopi Indian corn PI213733 (variety Komona) displayed the trait and grew well in the U.S. Corn Belt. I crossed PI213733 to 26 translocation tester stocks in Minnesota inbred A188 background, backcrossed semi-sterile plants carrying the translocation to A188 the next generation, and grew the segregating generation planted in trenches 15 cm deep with ridges of dirt 10 cm high one year, in trenches 25 cm deep the other year and also at normal (6 cm) depth. Emerged plants were classified for semi-sterility or for normal pollen. I concluded from multiple testers for each chromosome arm that dominant genes for long first internode are located (chromosome and region) on 3S, on 6 near the centromere, and on 9S; spurious associations occurred for two testers. Measurement of cell lengths indicated that PI213733 had more cells than A188 both in upper and in lower mesocotyl sections and that lower, older cells elongated sooner. I found a normal-sized kernel with twin embryos that developed two long first internode seedlings indicating that the amount of endosperm did not limit mesocotyl growth. PMID:9093865

  15. Climate change, transgenic corn adoption and field-evolved resistance in corn earworm.

    PubMed

    Venugopal, P Dilip; Dively, Galen P

    2017-06-01

    Increased temperature anomaly during the twenty-first century coincides with the proliferation of transgenic crops containing the bacterium Bacillus thuringiensis (Berliner) (Bt) to express insecticidal Cry proteins. Increasing temperatures profoundly affect insect life histories and agricultural pest management. However, the implications of climate change on Bt crop-pest interactions and insect resistance to Bt crops remains unexamined. We analysed the relationship of temperature anomaly and Bt adoption with field-evolved resistance to Cry1Ab Bt sweet corn in a major pest, Helicoverpa zea (Boddie). Increased Bt adoption during 1996-2016 suppressed H. zea populations, but increased temperature anomaly buffers population reduction. Temperature anomaly and its interaction with elevated selection pressure from high Bt acreage probably accelerated the Bt-resistance development. Helicoverpa zea damage to corn ears, kernel area consumed, mean instars and proportion of late instars in Bt varieties increased with Bt adoption and temperature anomaly, through additive or interactive effects. Risk of Bt-resistant H. zea spreading is high given extensive Bt adoption, and the expected increase in overwintering and migration. Our study highlights the challenges posed by climate change for Bt biotechnology-based agricultural pest management, and the need to incorporate evolutionary processes affected by climate change into Bt-resistance management programmes.

  16. Pod Corn Is Caused by Rearrangement at the Tunicate1 Locus[W][OA

    PubMed Central

    Han, Jong-Jin; Jackson, David; Martienssen, Robert

    2012-01-01

    Pod corn (Zea mays var tunicata) was once regarded as ancestral to cultivated maize, and was prized by pre-Columbian cultures for its magical properties. Tunicate1 (Tu1) is a dominant pod corn mutation in which kernels are completely enclosed in leaflike glumes. Here we show that Tu1 encodes a MADS box transcription factor expressed in leaves whose 5′ regulatory region is fused by a 1.8-Mb chromosomal inversion to the 3′ region of a gene expressed in the inflorescence. Both genes are further duplicated, accounting for classical derivative alleles isolated by recombination, and Tu1 transgenes interact with these derivative alleles in a dose-dependent manner. In young ear primordia, TU1 proteins are nuclearly localized in specific cells at the base of spikelet pair meristems. Tu1 branch determination defects resemble those in ramosa mutants, which encode regulatory proteins expressed in these same cells, accounting for synergism in double mutants discovered almost 100 years ago. The Tu1 rearrangement is not found in ancestral teosinte and arose after domestication of maize. PMID:22829149

  17. Efficiency of time-lapse intervals and simple baits for camera surveys of wild pigs

    USGS Publications Warehouse

    Williams, B.L.; Holtfreter, R.W.; Ditchkoff, S.S.; Grand, J.B.

    2011-01-01

    Growing concerns surrounding established and expanding populations of wild pigs (Sus scrofa) have created the need for rapid and accurate surveys of these populations. We conducted surveys of a portion of the wild pig population on Fort Benning, Georgia, to determine if a longer time-lapse interval than had been previously used in surveys of wild pigs would generate similar detection results. We concurrently examined whether use of soured corn at camera sites affected the time necessary for pigs to locate a new camera site or the time pigs remained at a site. Our results suggest that a 9-min time-lapse interval generated dependable detection results for pigs and that soured corn neither attracted pigs to a site any quicker than plain, dry, whole-kernel corn, nor held them at a site longer. Maximization of time-lapse interval should decrease data and processing loads, and use of a simple, available bait should decrease cost and effort associated with more complicated baits; combination of these concepts should increase efficiency of wild pig surveys. ?? 2011 The Wildlife Society.

  18. Single kernel ionomic profiles are highly heritable indicators of genetic and environmental influences on elemental accumulation in maize grain (Zea mays)

    USDA-ARS?s Scientific Manuscript database

    The ionome, or elemental profile, of a maize kernel represents at least two distinct ideas. First, the collection of elements within the kernel are food, feed and feedstocks for people, animals and industrial processes. Second, the ionome of the kernel represents a developmental end point that can s...

  19. 7 CFR 868.311 - Grades and grade requirements for the class Second Head Milled Rice. (See also § 868.315.)

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... combined) Total (number in 500 grams) Heat-damaged kernels and objectionable seeds (number in 500 grams) Red rice and damaged kernels (singly or combined) (percent) Chalky kernels 1,3 (percent) Color...

  20. Cost Driver Analysis for Tray Pack Foods

    DTIC Science & Technology

    1988-03-01

    Chicken 0 Macaroni Cheese 0 Peas/Mushrooms C Canadian Bacon C Spaghetti w/ Meatballs C Macaroni Salad C Sliced Carrots C Chicken Breasts C Swedish... Meatballs C Spanish Rice C Whole Kernel Corn C Chicken Cacciatore [ Swiss Steak C Sweet Potatoes C Fruit Cocktail C Franks in Brine C Turkey SI.w/Gravy C...and Carrots 0 Beef Pot Roast C Roast Chicken C Macaroni Cheese C Peas/Mushrooms C Canadian Bacon C Spaghetti w/ Meatballs C Macaroni Salad 0 Sliced

  1. Analysis of fractionation in corn-to-ethanol plants

    NASA Astrophysics Data System (ADS)

    Nelson, Camille

    As the dry grind ethanol industry has grown, the research and technology surrounding ethanol production and co-product value has increased. Including use of back-end oil extraction and front-end fractionation. Front-end fractionation is pre-fermentation separation of the corn kernel into 3 fractions: endosperm, bran, and germ. The endosperm fraction enters the existing ethanol plant, and a high protein DDGS product remains after fermentation. High value oil is extracted out of the germ fraction. This leaves corn germ meal and bran as co-products from the other two streams. These 3 co-products have a very different composition than traditional corn DDGS. Installing this technology allows ethanol plants to increase profitability by tapping into more diverse markets, and ultimately could allow for an increase in profitability. An ethanol plant model was developed to evaluate both back-end oil extraction and front-end fractionation technology and predict the change in co-products based on technology installed. The model runs in Microsoft Excel and requires inputs of whole corn composition (proximate analysis), amino acid content, and weight to predict the co-product quantity and quality. User inputs include saccharification and fermentation efficiencies, plant capacity, and plant process specifications including front-end fractionation and backend oil extraction, if applicable. This model provides plants a way to assess and monitor variability in co-product composition due to the variation in whole corn composition. Additionally the co-products predicted in this model are entered into the US Pork Center of Excellence, National Swine Nutrition Guide feed formulation software. This allows the plant user and animal nutritionists to evaluate the value of new co-products in existing animal diets.

  2. A multispectral sorting device for isolating single wheat kernels with high protein content

    USDA-ARS?s Scientific Manuscript database

    Automated sorting of single wheat kernels according to protein content was demonstrated using two novel multispectral sorting devices with different spectral ranges; 470-1070 nm (silicone based detector) and 910nm-1550 nm (InGaAs based detector). The multispectral data were acquired by rapidly (~12...

  3. Moisture effects on the prediction performance of a single kernel near-infrared deoxynivalenol calibration

    USDA-ARS?s Scientific Manuscript database

    Effect of moisture content variation on the accuracy of single kernel deoxynivalenol (DON) prediction by near-infrared (NIR) spectroscopy was investigated. Sample moisture content (MC) considerably affected accuracy of the current NIR DON calibration by underestimating or over estimating DON at high...

  4. Detecting and Segregating Black Tip-Damaged Wheat Kernels Using Visible and Near Infrared Spectroscopy

    USDA-ARS?s Scientific Manuscript database

    Detection of individual wheat kernels with black tip symptom (BTS) and black tip damage (BTD) was demonstrated using near infrared reflectance spectroscopy (NIRS) and silicon light-emitting-diode (LED) based instruments. The two instruments tested, a single kernel near-infrared spectroscopy instrume...

  5. Transgenic multivitamin corn through biofortification of endosperm with three vitamins representing three distinct metabolic pathways

    PubMed Central

    Naqvi, Shaista; Zhu, Changfu; Farre, Gemma; Ramessar, Koreen; Bassie, Ludovic; Breitenbach, Jürgen; Perez Conesa, Dario; Ros, Gaspar; Sandmann, Gerhard; Capell, Teresa; Christou, Paul

    2009-01-01

    Vitamin deficiency affects up to 50% of the world's population, disproportionately impacting on developing countries where populations endure monotonous, cereal-rich diets. Transgenic plants offer an effective way to increase the vitamin content of staple crops, but thus far it has only been possible to enhance individual vitamins. We created elite inbred South African transgenic corn plants in which the levels of 3 vitamins were increased specifically in the endosperm through the simultaneous modification of 3 separate metabolic pathways. The transgenic kernels contained 169-fold the normal amount of β-carotene, 6-fold the normal amount of ascorbate, and double the normal amount of folate. Levels of engineered vitamins remained stable at least through to the T3 homozygous generation. This achievement, which vastly exceeds any realized thus far by conventional breeding alone, opens the way for the development of nutritionally complete cereals to benefit the world's poorest people. PMID:19416835

  6. Sensitive Quantification of Aflatoxin B1 in Animal Feeds, Corn Feed Grain, and Yellow Corn Meal Using Immunomagnetic Bead-Based Recovery and Real-Time Immunoquantitative-PCR

    PubMed Central

    Babu, Dinesh; Muriana, Peter M.

    2014-01-01

    Aflatoxins are considered unavoidable natural mycotoxins encountered in foods, animal feeds, and feed grains. In this study, we demonstrate the application of our recently developed real-time immunoquantitative PCR (RT iq-PCR) assay for sensitive detection and quantification of aflatoxins in poultry feed, two types of dairy feed (1 and 2), horse feed, whole kernel corn feed grains, and retail yellow ground corn meal. Upon testing methanol/water (60:40) extractions of the above samples using competitive direct enzyme linked immunosorbent assay, the aflatoxin content was found to be <20 μg/kg. The RT iq-PCR assay exhibited high antigen hook effect in samples containing aflatoxin levels higher than the quantification limits (0.1–10 μg/kg), addressed by comparing the quantification results of undiluted and diluted extracts. In testing the reliability of the immuno-PCR assay, samples were spiked with 200 μg/kg of aflatoxin B1, but the recovery of spiked aflatoxin was found to be poor. Considering the significance of determining trace levels of aflatoxins and their serious implications for animal and human health, the RT iq-PCR method described in this study can be useful for quantifying low natural aflatoxin levels in complex matrices of food or animal feed samples without the requirement of extra sample cleanup. PMID:25474493

  7. Sensitive quantification of aflatoxin B1 in animal feeds, corn feed grain, and yellow corn meal using immunomagnetic bead-based recovery and real-time immunoquantitative-PCR.

    PubMed

    Babu, Dinesh; Muriana, Peter M

    2014-12-02

    Aflatoxins are considered unavoidable natural mycotoxins encountered in foods, animal feeds, and feed grains. In this study, we demonstrate the application of our recently developed real-time immunoquantitative PCR (RT iq-PCR) assay for sensitive detection and quantification of aflatoxins in poultry feed, two types of dairy feed (1 and 2), horse feed, whole kernel corn feed grains, and retail yellow ground corn meal. Upon testing methanol/water (60:40) extractions of the above samples using competitive direct enzyme linked immunosorbent assay, the aflatoxin content was found to be <20 μg/kg. The RT iq-PCR assay exhibited high antigen hook effect in samples containing aflatoxin levels higher than the quantification limits (0.1-10 μg/kg), addressed by comparing the quantification results of undiluted and diluted extracts. In testing the reliability of the immuno-PCR assay, samples were spiked with 200 μg/kg of aflatoxin B1, but the recovery of spiked aflatoxin was found to be poor. Considering the significance of determining trace levels of aflatoxins and their serious implications for animal and human health, the RT iq-PCR method described in this study can be useful for quantifying low natural aflatoxin levels in complex matrices of food or animal feed samples without the requirement of extra sample cleanup.

  8. Single Mode Optical Waveguide Design Investigation.

    DTIC Science & Technology

    1981-07-10

    AD-AI04 584 CORNING GLASS WORKS NY F/G 20/6 SINGLE MODE OPTICAL WAVEGUIDE DESIGN INVESTIGATION. (7 N JUL 81 V A BHAGAVATJLA, R A WESTWIG. D B KECK...Contract N00173-8O-C-0563 / V. A./Bhagavatula R. A..Westwig D. B.!Keck Corning Glass Works Corning, New York H> July 1,0, 1981 CL 8m NA Single Mode Optical...Waveguide Design Inve-tigation Progress Report 3 1. Sumpry 1.1 ,A total of six fibers have been fabricated with parameters fitting the design matrix

  9. Composition of grain and forage from insect-protected and herbicide-tolerant corn, MON 89034 × TC1507 × MON 88017 × DAS-59122-7 (SmartStax), is equivalent to that of conventional corn (Zea mays L.).

    PubMed

    Lundry, Denise R; Burns, J Austin; Nemeth, Margaret A; Riordan, Susan G

    2013-02-27

    Monsanto Company and Dow AgroSciences LLC have developed the combined-trait corn product MON 89034 × TC1507 × MON 88017 × DAS-59122-7 (SmartStax, a registered trademark of Monsanto Technology LLC). The combination of four biotechnology-derived events into a single corn product (stacking) through conventional breeding provides broad protection against lepidopteran and corn rootworm insect pests as well as tolerance to the glyphosate and glufosinate-ammonium herbicide families. The purpose of the work described here was to assess whether the nutrient, antinutrient, and secondary metabolite levels in grain and forage tissues of the combined-trait product are comparable to those in conventional corn. Compositional analyses were conducted on grain and forage from SmartStax, a near-isogenic conventional corn hybrid (XE6001), and 14 conventional reference hybrids, grown at multiple locations across the United States. No statistically significant differences between SmartStax and conventional corn were observed for the 8 components analyzed in forage and for 46 of the 52 components analyzed in grain. The six significant differences observed in grain components (p < 0.05) were assessed in context of the natural variability for that component. These results demonstrate that the stacked product, SmartStax, produced through conventional breeding of four single-event products containing eight proteins, is compositionally equivalent to conventional corn, as previously demonstrated for the single-event products.

  10. Effects of long-term feeding of genetically modified corn (event MON810) on the performance of lactating dairy cows.

    PubMed

    Steinke, K; Guertler, P; Paul, V; Wiedemann, S; Ettle, T; Albrecht, C; Meyer, H H D; Spiekers, H; Schwarz, F J

    2010-10-01

    A long-term study over 25 months was conducted to evaluate the effects of genetically modified corn on performance of lactating dairy cows. Thirty-six dairy cows were assigned to two feeding groups and fed with diets based on whole-crop silage, kernels and whole-crop cobs from Bt-corn (Bt-MON810) or its isogenic not genetically modified counterpart (CON) as main components. The study included two consecutive lactations. There were no differences in the chemical composition and estimated net energy content of Bt-MON810 and CON corn components and diets. CON feed samples were negative for the presence of Cry1Ab protein, while in Bt-MON810 feed samples the Cry1Ab protein was detected. Cows fed Bt-MON810 corn had a daily Cry1Ab protein intake of 6.0 mg in the first lactation and 6.1 mg in the second lactation of the trial. Dry matter intake (DMI) was 18.8 and 20.7 kg/cow per day in the first and the second lactation of the trial, with no treatment differences. Similarly, milk yield (23.8 and 29.0 kg/cow per day in the first and the second lactation of the trial) was not affected by dietary treatment. There were no consistent effects of feeding MON810 or its isogenic CON on milk composition or body condition. Thus, the present long-term study demonstrated the compositional and nutritional equivalence of Bt-MON810 and its isogenic CON. © 2010 Blackwell Verlag GmbH.

  11. Striving Toward Energy Sustainability: How Plants Will Play a Role in Our Future (453rd Brookhaven Lecture)

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Ferrieri, Richard A.

    2009-10-28

    Edible biomass includes sugars from sugar cane or sugar beets, starches from corn kernels or other grains, and vegetable oils. The fibrous, woody and generally inedible portions of plants contain cellulose, hemicellulose and lignin, three key cell-wall components that make up roughly 70 percent of total plant biomass. At present, starch can readily be degraded from corn grain into glucose sugar, which is then fermented into ethanol, and an acre of corn can yield roughly 400 gallons of ethanol. In tapping into the food supply to solve the energy crisis, however, corn and other crops have become more expensive asmore » food. One solution lies in breaking down other structural tissues of plants, including the stalks and leaves of corn, grasses and trees. However, the complex carbohydrates in cellulose-containing biomass are more difficult to break down and convert to ethanol. So researchers are trying to engineer plants having optimal sugars for maximizing fuel yield. This is a challenge because only a handful of enzymes associated with the more than 1,000 genes responsible for cell-wall synthesis have had their roles in controlling plant metabolism defined. As Richard Ferrieri, Ph.D., a leader of a biofuel research initiative within the Medical Department, will discuss during the 453rd Brookhaven Lecture, he and his colleagues use short-lived radioisotopes, positron emission tomography and biomarkers that they have developed to perform non-invasive, real time imaging of whole plants. He will explain how the resulting metabolic flux analysis gives insight into engineering plant metabolism further.« less

  12. Simultaneous analysis of free phytosterols/phytostanols and intact phytosteryl/phytostanyl fatty acid and phenolic acid esters in cereals.

    PubMed

    Esche, Rebecca; Barnsteiner, Andreas; Scholz, Birgit; Engel, Karl-Heinz

    2012-05-30

    An approach based on solid-phase extraction for the effective separation of free phytosterols/phytostanols and phytosteryl/phytostanyl fatty acid and phenolic acid esters from cereal lipids was developed. The ester conjugates were analyzed in their intact form by means of capillary gas chromatography. Besides free sterols and stanols, up to 33 different fatty acid and phenolic acid esters were identified in four different cereal grains via gas chromatography-mass spectrometry. The majority (52-57%) of the sterols and stanols were present as fatty acid esters. The highest levels of all three sterol and stanol classes based on dry matter of ground kernels were determined in corn, whereas the oil extract of rye was 1.7 and 1.6 times richer in fatty acid esters and free sterols/stanols than the corn oil. The results showed that there are considerable differences in the sterols/stanols and their ester profiles and contents obtained from corn compared to rye, wheat, and spelt. The proposed method is useful for the quantification of a wide range of free phytosterols/phytostanols and intact phytosteryl/phytostanyl esters to characterize different types of grain.

  13. Susceptibility of Nebraska Western Corn Rootworm (Coleoptera: Chrysomelidae) Populations to Bt Corn Events

    USDA-ARS?s Scientific Manuscript database

    Transgenic plants have been widely adopted by growers to manage the western corn rootworm, Diabrotica virgifera virgifera LeConte, in field corn. Because of reduced efficacy in some Nebraska fields after repeated use of Cry3Bb1 expressing hybrids, single plant bioassays were conducted in 2012 and 20...

  14. An SVM model with hybrid kernels for hydrological time series

    NASA Astrophysics Data System (ADS)

    Wang, C.; Wang, H.; Zhao, X.; Xie, Q.

    2017-12-01

    Support Vector Machine (SVM) models have been widely applied to the forecast of climate/weather and its impact on other environmental variables such as hydrologic response to climate/weather. When using SVM, the choice of the kernel function plays the key role. Conventional SVM models mostly use one single type of kernel function, e.g., radial basis kernel function. Provided that there are several featured kernel functions available, each having its own advantages and drawbacks, a combination of these kernel functions may give more flexibility and robustness to SVM approach, making it suitable for a wide range of application scenarios. This paper presents such a linear combination of radial basis kernel and polynomial kernel for the forecast of monthly flowrate in two gaging stations using SVM approach. The results indicate significant improvement in the accuracy of predicted series compared to the approach with either individual kernel function, thus demonstrating the feasibility and advantages of such hybrid kernel approach for SVM applications.

  15. [Research on the methods for multi-class kernel CSP-based feature extraction].

    PubMed

    Wang, Jinjia; Zhang, Lingzhi; Hu, Bei

    2012-04-01

    To relax the presumption of strictly linear patterns in the common spatial patterns (CSP), we studied the kernel CSP (KCSP). A new multi-class KCSP (MKCSP) approach was proposed in this paper, which combines the kernel approach with multi-class CSP technique. In this approach, we used kernel spatial patterns for each class against all others, and extracted signal components specific to one condition from EEG data sets of multiple conditions. Then we performed classification using the Logistic linear classifier. Brain computer interface (BCI) competition III_3a was used in the experiment. Through the experiment, it can be proved that this approach could decompose the raw EEG singles into spatial patterns extracted from multi-class of single trial EEG, and could obtain good classification results.

  16. Generalization Performance of Regularized Ranking With Multiscale Kernels.

    PubMed

    Zhou, Yicong; Chen, Hong; Lan, Rushi; Pan, Zhibin

    2016-05-01

    The regularized kernel method for the ranking problem has attracted increasing attentions in machine learning. The previous regularized ranking algorithms are usually based on reproducing kernel Hilbert spaces with a single kernel. In this paper, we go beyond this framework by investigating the generalization performance of the regularized ranking with multiscale kernels. A novel ranking algorithm with multiscale kernels is proposed and its representer theorem is proved. We establish the upper bound of the generalization error in terms of the complexity of hypothesis spaces. It shows that the multiscale ranking algorithm can achieve satisfactory learning rates under mild conditions. Experiments demonstrate the effectiveness of the proposed method for drug discovery and recommendation tasks.

  17. Robotic Intelligence Kernel: Driver

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    The INL Robotic Intelligence Kernel-Driver is built on top of the RIK-A and implements a dynamic autonomy structure. The RIK-D is used to orchestrate hardware for sensing and action as well as software components for perception, communication, behavior and world modeling into a single cognitive behavior kernel that provides intrinsic intelligence for a wide variety of unmanned ground vehicle systems.

  18. Pressure Sensitivity Kernels Applied to Time-reversal Acoustics

    DTIC Science & Technology

    2009-06-29

    experimental data, along with an internal wave model, using various metrics. The linear limitations of the kernels are explored in the context of time...Acknowledgments . . . . . . . . . . . . . . . . . . . . . . 82 3.A Internal wave modeling . . . . . . . . . . . . . . . . . . . 82 Bibliography...multipaths corresponding to direct path, single surface/bottom bounce, double bounce off the surface and bot- tom, Bottom: Time-domain sensitivity kernel for

  19. Evaluation of the gastrointestinal tolerability of corn starch fiber, a novel dietary fiber, in two independent randomized, double-blind, crossover studies in healthy men and women.

    PubMed

    Crincoli, Christine M; Garcia-Campayo, Vicenta; Rihner, Marisa O; Nikiforov, Andrey I; Liska, DeAnn; van de Ligt, Jennifer L G

    2016-11-01

    Two independent clinical studies were conducted to compare the gastrointestinal (GI) tolerability of corn starch fiber, a novel dietary fiber, at up to 50 g/day (single-dose study) or 90 g/day (multiple-serving study) with a negative control (no fiber) and a positive control (50 or 90 g polydextrose, for single- and multiple-serving studies, respectively) in generally healthy study volunteers. Flatulence and borborygmus were the primary symptoms reported at the higher doses of corn starch fiber and for the positive control interventions. Bowel movements were increased over 48 h with corn starch fiber at 90 g. Thresholds for mild GI effects were established at 30 g as a single dose and 60 g as multiple servings spread over the day. Other than moderate abdominal pain and mild increased appetite in one subject at 90-g corn starch fiber, no test article-related adverse events were reported.

  20. Design of a multiple kernel learning algorithm for LS-SVM by convex programming.

    PubMed

    Jian, Ling; Xia, Zhonghang; Liang, Xijun; Gao, Chuanhou

    2011-06-01

    As a kernel based method, the performance of least squares support vector machine (LS-SVM) depends on the selection of the kernel as well as the regularization parameter (Duan, Keerthi, & Poo, 2003). Cross-validation is efficient in selecting a single kernel and the regularization parameter; however, it suffers from heavy computational cost and is not flexible to deal with multiple kernels. In this paper, we address the issue of multiple kernel learning for LS-SVM by formulating it as semidefinite programming (SDP). Furthermore, we show that the regularization parameter can be optimized in a unified framework with the kernel, which leads to an automatic process for model selection. Extensive experimental validations are performed and analyzed. Copyright © 2011 Elsevier Ltd. All rights reserved.

  1. Multineuron spike train analysis with R-convolution linear combination kernel.

    PubMed

    Tezuka, Taro

    2018-06-01

    A spike train kernel provides an effective way of decoding information represented by a spike train. Some spike train kernels have been extended to multineuron spike trains, which are simultaneously recorded spike trains obtained from multiple neurons. However, most of these multineuron extensions were carried out in a kernel-specific manner. In this paper, a general framework is proposed for extending any single-neuron spike train kernel to multineuron spike trains, based on the R-convolution kernel. Special subclasses of the proposed R-convolution linear combination kernel are explored. These subclasses have a smaller number of parameters and make optimization tractable when the size of data is limited. The proposed kernel was evaluated using Gaussian process regression for multineuron spike trains recorded from an animal brain. It was compared with the sum kernel and the population Spikernel, which are existing ways of decoding multineuron spike trains using kernels. The results showed that the proposed approach performs better than these kernels and also other commonly used neural decoding methods. Copyright © 2018 Elsevier Ltd. All rights reserved.

  2. The Conserved and Unique Genetic Architecture of Kernel Size and Weight in Maize and Rice1[OPEN

    PubMed Central

    Lan, Liu; Wang, Hongze; Xu, Yuancheng; Yang, Xiaohong; Li, Wenqiang; Tong, Hao; Xiao, Yingjie; Pan, Qingchun; Qiao, Feng; Raihan, Mohammad Sharif; Liu, Haijun; Yang, Ning; Wang, Xiaqing; Deng, Min; Jin, Minliang; Zhao, Lijun; Luo, Xin; Zhan, Wei; Liu, Nannan; Wang, Hong; Chen, Gengshen

    2017-01-01

    Maize (Zea mays) is a major staple crop. Maize kernel size and weight are important contributors to its yield. Here, we measured kernel length, kernel width, kernel thickness, hundred kernel weight, and kernel test weight in 10 recombinant inbred line populations and dissected their genetic architecture using three statistical models. In total, 729 quantitative trait loci (QTLs) were identified, many of which were identified in all three models, including 22 major QTLs that each can explain more than 10% of phenotypic variation. To provide candidate genes for these QTLs, we identified 30 maize genes that are orthologs of 18 rice (Oryza sativa) genes reported to affect rice seed size or weight. Interestingly, 24 of these 30 genes are located in the identified QTLs or within 1 Mb of the significant single-nucleotide polymorphisms. We further confirmed the effects of five genes on maize kernel size/weight in an independent association mapping panel with 540 lines by candidate gene association analysis. Lastly, the function of ZmINCW1, a homolog of rice GRAIN INCOMPLETE FILLING1 that affects seed size and weight, was characterized in detail. ZmINCW1 is close to QTL peaks for kernel size/weight (less than 1 Mb) and contains significant single-nucleotide polymorphisms affecting kernel size/weight in the association panel. Overexpression of this gene can rescue the reduced weight of the Arabidopsis (Arabidopsis thaliana) homozygous mutant line in the AtcwINV2 gene (Arabidopsis ortholog of ZmINCW1). These results indicate that the molecular mechanisms affecting seed development are conserved in maize, rice, and possibly Arabidopsis. PMID:28811335

  3. The Conserved and Unique Genetic Architecture of Kernel Size and Weight in Maize and Rice.

    PubMed

    Liu, Jie; Huang, Juan; Guo, Huan; Lan, Liu; Wang, Hongze; Xu, Yuancheng; Yang, Xiaohong; Li, Wenqiang; Tong, Hao; Xiao, Yingjie; Pan, Qingchun; Qiao, Feng; Raihan, Mohammad Sharif; Liu, Haijun; Zhang, Xuehai; Yang, Ning; Wang, Xiaqing; Deng, Min; Jin, Minliang; Zhao, Lijun; Luo, Xin; Zhou, Yang; Li, Xiang; Zhan, Wei; Liu, Nannan; Wang, Hong; Chen, Gengshen; Li, Qing; Yan, Jianbing

    2017-10-01

    Maize ( Zea mays ) is a major staple crop. Maize kernel size and weight are important contributors to its yield. Here, we measured kernel length, kernel width, kernel thickness, hundred kernel weight, and kernel test weight in 10 recombinant inbred line populations and dissected their genetic architecture using three statistical models. In total, 729 quantitative trait loci (QTLs) were identified, many of which were identified in all three models, including 22 major QTLs that each can explain more than 10% of phenotypic variation. To provide candidate genes for these QTLs, we identified 30 maize genes that are orthologs of 18 rice ( Oryza sativa ) genes reported to affect rice seed size or weight. Interestingly, 24 of these 30 genes are located in the identified QTLs or within 1 Mb of the significant single-nucleotide polymorphisms. We further confirmed the effects of five genes on maize kernel size/weight in an independent association mapping panel with 540 lines by candidate gene association analysis. Lastly, the function of ZmINCW1 , a homolog of rice GRAIN INCOMPLETE FILLING1 that affects seed size and weight, was characterized in detail. ZmINCW1 is close to QTL peaks for kernel size/weight (less than 1 Mb) and contains significant single-nucleotide polymorphisms affecting kernel size/weight in the association panel. Overexpression of this gene can rescue the reduced weight of the Arabidopsis ( Arabidopsis thaliana ) homozygous mutant line in the AtcwINV2 gene (Arabidopsis ortholog of ZmINCW1 ). These results indicate that the molecular mechanisms affecting seed development are conserved in maize, rice, and possibly Arabidopsis. © 2017 American Society of Plant Biologists. All Rights Reserved.

  4. Development of Single-Seed Near-Infrared Spectroscopic Predictions of Corn and Soybeans Constituents Using Bulk Teference Values and Mean Spectra

    USDA-ARS?s Scientific Manuscript database

    Near-Infrared reflectance spectroscopic prediction models were developed for common constituents of corn and soybeans using bulk reference values and mean spectra from single-seeds. The bulk reference model and a true single-seed model for soybean protein were compared to determine how well the bul...

  5. Vowel Imagery Decoding toward Silent Speech BCI Using Extreme Learning Machine with Electroencephalogram

    PubMed Central

    Kim, Jongin; Park, Hyeong-jun

    2016-01-01

    The purpose of this study is to classify EEG data on imagined speech in a single trial. We recorded EEG data while five subjects imagined different vowels, /a/, /e/, /i/, /o/, and /u/. We divided each single trial dataset into thirty segments and extracted features (mean, variance, standard deviation, and skewness) from all segments. To reduce the dimension of the feature vector, we applied a feature selection algorithm based on the sparse regression model. These features were classified using a support vector machine with a radial basis function kernel, an extreme learning machine, and two variants of an extreme learning machine with different kernels. Because each single trial consisted of thirty segments, our algorithm decided the label of the single trial by selecting the most frequent output among the outputs of the thirty segments. As a result, we observed that the extreme learning machine and its variants achieved better classification rates than the support vector machine with a radial basis function kernel and linear discrimination analysis. Thus, our results suggested that EEG responses to imagined speech could be successfully classified in a single trial using an extreme learning machine with a radial basis function and linear kernel. This study with classification of imagined speech might contribute to the development of silent speech BCI systems. PMID:28097128

  6. Multi-environment QTL analysis of grain morphology traits and fine mapping of a kernel-width QTL in Zheng58 × SK maize population.

    PubMed

    Raihan, Mohammad Sharif; Liu, Jie; Huang, Juan; Guo, Huan; Pan, Qingchun; Yan, Jianbing

    2016-08-01

    Sixteen major QTLs regulating maize kernel traits were mapped in multiple environments and one of them, qKW - 9.2 , was restricted to 630 Kb, harboring 28 putative gene models. To elucidate the genetic basis of kernel traits, a quantitative trait locus (QTL) analysis was conducted in a maize recombinant inbred line population derived from a cross between two diverse parents Zheng58 and SK, evaluated across eight environments. Construction of a high-density linkage map was based on 13,703 single-nucleotide polymorphism markers, covering 1860.9 cM of the whole genome. In total, 18, 26, 23, and 19 QTLs for kernel length, width, thickness, and 100-kernel weight, respectively, were detected on the basis of a single-environment analysis, and each QTL explained 3.2-23.7 % of the phenotypic variance. Sixteen major QTLs, which could explain greater than 10 % of the phenotypic variation, were mapped in multiple environments, implying that kernel traits might be controlled by many minor and multiple major QTLs. The major QTL qKW-9.2 with physical confidence interval of 1.68 Mbp, affecting kernel width, was then selected for fine mapping using heterogeneous inbred families. At final, the location of the underlying gene was narrowed down to 630 Kb, harboring 28 putative candidate-gene models. This information will enhance molecular breeding for kernel traits and simultaneously assist the gene cloning underlying this QTL, helping to reveal the genetic basis of kernel development in maize.

  7. Protective effect of pulp oil extracted from Canarium odontophyllum Miq. Fruit on blood lipids, lipid peroxidation, and antioxidant status in healthy rabbits.

    PubMed

    Shakirin, Faridah Hanim; Azlan, Azrina; Ismail, Amin; Amom, Zulkhairi; Yuon, Lau Cheng

    2012-01-01

    The aim of this paper was to compare the effects of pulp and kernel oils of Canarium odontophyllum Miq. (CO) on lipid profile, lipid peroxidation, and oxidative stress of healthy rabbits. The oils are rich in SFAs and MUFAs (mainly palmitic and oleic acids). The pulp oil is rich in polyphenols. Male New Zealand white (NZW) rabbits were fed for 4 weeks on a normal diet containing pulp (NP) or kernel oil (NK) of CO while corn oil was used as control (NC). Total cholesterol (TC), HDL-C, LDL-c and triglycerides (TG) levels were measured in this paper. Antioxidant enzymes (superoxide dismutase and glutathione peroxidise), thiobarbiturate reactive substances (TBARSs), and plasma total antioxidant status (TAS) were also evaluated. Supplementation of CO pulp oil resulted in favorable changes in blood lipid and lipid peroxidation (increased HDL-C, reduced LDL-C, TG, TBARS levels) with enhancement of SOD, GPx, and plasma TAS levels. Meanwhile, supplementation of kernel oil caused lowering of plasma TC and LDL-C as well as enhancement of SOD and TAS levels. These changes showed that oils of CO could be beneficial in improving lipid profile and antioxidant status as when using part of normal diet. The oils can be used as alternative to present vegetable oil.

  8. Fluorescence imaging spectroscopy (FIS) for comparing spectra from corn ears naturally and artificially infected with aflatoxin producing fungus.

    PubMed

    Hruska, Zuzana; Yao, Haibo; Kincaid, Russell; Darlington, Dawn; Brown, Robert L; Bhatnagar, Deepak; Cleveland, Thomas E

    2013-08-01

    In an effort to address the problem of rapid detection of aflatoxin in grain, particularly oilseeds, the current study assessed the spectral differences of aflatoxin production in kernels from a cornfield inoculated with spores from 2 different strains of toxigenic Aspergillus flavus. Aflatoxin production in corn from the same field due to natural infestation was also assessed. A small corn plot in Baton Rouge, La., U.S.A., was used during the 2008-growing season. Two groups of 400 plants were inoculated with 2 different inocula and 1 group of 400 plants was designated as controls. Any contamination detected in the controls was attributed to natural infestation. A subset of each group was imaged with a visible near infra red (VNIR) hyperspectral system under ultra violet (UV) excitation and subsequently analyzed for aflatoxin using affinity column fluorometry. Group differences were statistically analyzed. Results indicate that when all the spectral data across all groups were averaged, any potential differences between groups (treated and untreated) were obscured. However, spectral analysis based on contaminated "hot" pixel classification showed a distinct spectral shift/separation between contaminated and clean ears with fluorescence peaks at 501 and 478 nm, respectively. All inoculated and naturally infected control ears had fluorescence peaks at 501 nm that differed from uninfected corn ears. Results from this study may be useful in evaluating rapid, noninvasive instrumentation and/or methodology for aflatoxin detection in grain. © 2013 Institute of Food Technologists®

  9. Single Mode Optical Waveguide Design Investigation.

    DTIC Science & Technology

    1981-03-30

    ADA09 979 CORNING GLASS WORKS NY F/6 20/6 SINGLE NOOK OPTICAL WAVEGUIOC DESIGN INVESTIGATION. (U) MA 81 V A BHAGAVAY~l-A, R A WESTWIG. D 6 KECK...Bhagavatula R. A. Westwig D. B. Keck Corning Glass Wqrks Corning, N.Y. March 30, 1981 Approved L r oc e 81 415 021 1i. Summary 1.1 Lateral and angular offset...sensitivity test equipment has been designed and built. 1.2 Measurements of lateral offset sensitivity have been made on several fibers to determine

  10. Unsupervised multiple kernel learning for heterogeneous data integration.

    PubMed

    Mariette, Jérôme; Villa-Vialaneix, Nathalie

    2018-03-15

    Recent high-throughput sequencing advances have expanded the breadth of available omics datasets and the integrated analysis of multiple datasets obtained on the same samples has allowed to gain important insights in a wide range of applications. However, the integration of various sources of information remains a challenge for systems biology since produced datasets are often of heterogeneous types, with the need of developing generic methods to take their different specificities into account. We propose a multiple kernel framework that allows to integrate multiple datasets of various types into a single exploratory analysis. Several solutions are provided to learn either a consensus meta-kernel or a meta-kernel that preserves the original topology of the datasets. We applied our framework to analyse two public multi-omics datasets. First, the multiple metagenomic datasets, collected during the TARA Oceans expedition, was explored to demonstrate that our method is able to retrieve previous findings in a single kernel PCA as well as to provide a new image of the sample structures when a larger number of datasets are included in the analysis. To perform this analysis, a generic procedure is also proposed to improve the interpretability of the kernel PCA in regards with the original data. Second, the multi-omics breast cancer datasets, provided by The Cancer Genome Atlas, is analysed using a kernel Self-Organizing Maps with both single and multi-omics strategies. The comparison of these two approaches demonstrates the benefit of our integration method to improve the representation of the studied biological system. Proposed methods are available in the R package mixKernel, released on CRAN. It is fully compatible with the mixOmics package and a tutorial describing the approach can be found on mixOmics web site http://mixomics.org/mixkernel/. jerome.mariette@inra.fr or nathalie.villa-vialaneix@inra.fr. Supplementary data are available at Bioinformatics online.

  11. A simple and fast method for computing the relativistic Compton Scattering Kernel for radiative transfer

    NASA Technical Reports Server (NTRS)

    Kershaw, David S.; Prasad, Manoj K.; Beason, J. Douglas

    1986-01-01

    The Klein-Nishina differential cross section averaged over a relativistic Maxwellian electron distribution is analytically reduced to a single integral, which can then be rapidly evaluated in a variety of ways. A particularly fast method for numerically computing this single integral is presented. This is, to the authors' knowledge, the first correct computation of the Compton scattering kernel.

  12. Biological Control of Aflatoxin Contamination in U.S. Crops and the Use of Bioplastic Formulations of Aspergillus flavus Biocontrol Strains To Optimize Application Strategies.

    PubMed

    Abbas, Hamed K; Accinelli, Cesare; Shier, W Thomas

    2017-08-23

    Aflatoxin contamination has a major economic impact on crop production in the southern United States. Reduction of aflatoxin contamination in harvested crops has been achieved by applying nonaflatoxigenic biocontrol Aspergillus flavus strains that can out-compete wild aflatoxigenic A. flavus, reducing their numbers at the site of application. Currently, the standard method for applying biocontrol A. flavus strains to soil is using a nutrient-supplying carrier (e.g., pearled barley for Afla-Guard). Granules of Bioplastic (partially acetylated corn starch) have been investigated as an alternative nutritive carrier for biocontrol agents. Bioplastic granules have also been used to prepare a sprayable biocontrol formulation that gives effective reduction of aflatoxin contamination in harvested corn kernels with application of much smaller amounts to leaves later in the growing season. The ultimate goal of biocontrol research is to produce biocontrol systems that can be applied to crops only when long-range weather forecasting indicates they will be needed.

  13. Applications of single kernel conventional and hyperspectral imaging near infrared spectroscopy in cereals.

    PubMed

    Fox, Glen; Manley, Marena

    2014-01-30

    Single kernel (SK) near infrared (NIR) reflectance and transmittance technologies have been developed during the last two decades for a range of cereal grain physical quality and chemical traits as well as detecting and predicting levels of toxins produced by fungi. Challenges during the development of single kernel near infrared (SK-NIR) spectroscopy applications are modifications of existing NIR technology to present single kernels for scanning as well as modifying reference methods for the trait of interest. Numerous applications have been developed, and cover almost all cereals although most have been for key traits including moisture, protein, starch and oil in the globally important food grains, i.e. maize, wheat, rice and barley. An additional benefit in developing SK-NIR applications has been to demonstrate the value in sorting grain infected with a fungus or mycotoxins such as deoxynivalenol, fumonisins and aflatoxins. However, there is still a need to develop cost-effective technologies for high-speed sorting which can be used for small grain samples such as those from breeding programmes or commercial sorting; capable of sorting tonnes per hour. Development of SK-NIR technologies also includes standardisation of SK reference methods to analyse single kernels. For protein content, the use of the Dumas method would require minimal standardisation; for starch or oil content, considerable development would be required. SK-NIR, including the use of hyperspectral imaging, will improve our understanding of grain quality and the inherent variation in the range of a trait. In the area of food safety, this technology will benefit farmers, industry and consumers if it enables contaminated grain to be removed from the human food chain. © 2013 Society of Chemical Industry.

  14. Corn fiber utilization for production of Schizophyllan

    USDA-ARS?s Scientific Manuscript database

    Corn fiber is an abundant coproduct of the corn wet milling process, primarily composed of the seed pericarp and adherent starch. Schizophyllan is a biopolymer composed entirely of glucose, with a ß-1,3-linked backbone and single ß-1,6-linked glucose side chains at every third residue, produced by t...

  15. Propelled abrasive grit for weed control in organic silage corn

    USDA-ARS?s Scientific Manuscript database

    Weed management in organic farming requires many strategies to accomplish acceptable control and maintain crop yields. This two-year field study used air propelled abrasive grit for in-row weed control in a silage corn system. Corncob grit was applied as a single application at corn vegetative growt...

  16. Kernel Machine SNP-set Testing under Multiple Candidate Kernels

    PubMed Central

    Wu, Michael C.; Maity, Arnab; Lee, Seunggeun; Simmons, Elizabeth M.; Harmon, Quaker E.; Lin, Xinyi; Engel, Stephanie M.; Molldrem, Jeffrey J.; Armistead, Paul M.

    2013-01-01

    Joint testing for the cumulative effect of multiple single nucleotide polymorphisms grouped on the basis of prior biological knowledge has become a popular and powerful strategy for the analysis of large scale genetic association studies. The kernel machine (KM) testing framework is a useful approach that has been proposed for testing associations between multiple genetic variants and many different types of complex traits by comparing pairwise similarity in phenotype between subjects to pairwise similarity in genotype, with similarity in genotype defined via a kernel function. An advantage of the KM framework is its flexibility: choosing different kernel functions allows for different assumptions concerning the underlying model and can allow for improved power. In practice, it is difficult to know which kernel to use a priori since this depends on the unknown underlying trait architecture and selecting the kernel which gives the lowest p-value can lead to inflated type I error. Therefore, we propose practical strategies for KM testing when multiple candidate kernels are present based on constructing composite kernels and based on efficient perturbation procedures. We demonstrate through simulations and real data applications that the procedures protect the type I error rate and can lead to substantially improved power over poor choices of kernels and only modest differences in power versus using the best candidate kernel. PMID:23471868

  17. Single-kernel analysis of fumonisins and other fungal metabolites in maize from South African subsistence farmers.

    PubMed

    Mogensen, J M; Sørensen, S M; Sulyok, M; van der Westhuizen, L; Shephard, G S; Frisvad, J C; Thrane, U; Krska, R; Nielsen, K F

    2011-12-01

    Fumonisins are important Fusarium mycotoxins mainly found in maize and derived products. This study analysed maize from five subsistence farmers in the former Transkei region of South Africa. Farmers had sorted kernels into good and mouldy quality. A total of 400 kernels from 10 batches were analysed; of these 100 were visually characterised as uninfected and 300 as infected. Of the 400 kernels, 15% were contaminated with 1.84-1428 mg kg(-1) fumonisins, and 4% (n=15) had a fumonisin content above 100 mg kg(-1). None of the visually uninfected maize had detectable amounts of fumonisins. The total fumonisin concentration was 0.28-1.1 mg kg(-1) for good-quality batches and 0.03-6.2 mg kg(-1) for mouldy-quality batches. The high fumonisin content in the batches was apparently caused by a small number (4%) of highly contaminated kernels, and removal of these reduced the average fumonisin content by 71%. Of the 400 kernels, 80 were screened for 186 microbial metabolites by liquid chromatography-tandem mass spectrometry, detecting 17 other fungal metabolites, including fusaric acid, equisetin, fusaproliferin, beauvericin, cyclosporins, agroclavine, chanoclavine, rugulosin and emodin. Fusaric acid in samples without fumonisins indicated the possibility of using non-toxinogenic Fusaria as biocontrol agents to reduce fumonisin exposure, as done for Aspergillus flavus. This is the first report of mycotoxin profiling in single naturally infected maize kernels. © 2011 Taylor & Francis

  18. Field-Evolved Resistance in Corn Earworm to Cry Proteins Expressed by Transgenic Sweet Corn.

    PubMed

    Dively, Galen P; Venugopal, P Dilip; Finkenbinder, Chad

    2016-01-01

    Transgenic corn engineered with genes expressing insecticidal toxins from the bacterium Bacillus thuringiensis (Berliner) (Bt) are now a major tool in insect pest management. With its widespread use, insect resistance is a major threat to the sustainability of the Bt transgenic technology. For all Bt corn expressing Cry toxins, the high dose requirement for resistance management is not achieved for corn earworm, Helicoverpa zea (Boddie), which is more tolerant to the Bt toxins. We present field monitoring data using Cry1Ab (1996-2016) and Cry1A.105+Cry2Ab2 (2010-2016) expressing sweet corn hybrids as in-field screens to measure changes in field efficacy and Cry toxin susceptibility to H. zea. Larvae successfully damaged an increasing proportion of ears, consumed more kernel area, and reached later developmental stages (4th - 6th instars) in both types of Bt hybrids (Cry1Ab-event Bt11, and Cry1A.105+Cry2Ab2-event MON89034) since their commercial introduction. Yearly patterns of H. zea population abundance were unrelated to reductions in control efficacy. There was no evidence of field efficacy or tissue toxicity differences among different Cry1Ab hybrids that could contribute to the decline in control efficacy. Supportive data from laboratory bioassays demonstrate significant differences in weight gain and fitness characteristics between the Maryland H. zea strain and a susceptible strain. In bioassays with Cry1Ab expressing green leaf tissue, Maryland H. zea strain gained more weight than the susceptible strain at all concentrations tested. Fitness of the Maryland H. zea strain was significantly lower than that of the susceptible strain as indicated by lower hatch rate, longer time to adult eclosion, lower pupal weight, and reduced survival to adulthood. After ruling out possible contributing factors, the rapid change in field efficacy in recent years and decreased susceptibility of H. zea to Bt sweet corn provide strong evidence of field-evolved resistance in H. zea populations to multiple Cry toxins. The high adoption rate of Bt field corn and cotton, along with the moderate dose expression of Cry1Ab and related Cry toxins in these crops, and decreasing refuge compliance probably contributed to the evolution of resistance. Our results have important implications for resistance monitoring, refuge requirements and other regulatory policies, cross-resistance issues, and the sustainability of the pyramided Bt technology.

  19. Investigation of various energy deposition kernel refinements for the convolution/superposition method

    PubMed Central

    Huang, Jessie Y.; Eklund, David; Childress, Nathan L.; Howell, Rebecca M.; Mirkovic, Dragan; Followill, David S.; Kry, Stephen F.

    2013-01-01

    Purpose: Several simplifications used in clinical implementations of the convolution/superposition (C/S) method, specifically, density scaling of water kernels for heterogeneous media and use of a single polyenergetic kernel, lead to dose calculation inaccuracies. Although these weaknesses of the C/S method are known, it is not well known which of these simplifications has the largest effect on dose calculation accuracy in clinical situations. The purpose of this study was to generate and characterize high-resolution, polyenergetic, and material-specific energy deposition kernels (EDKs), as well as to investigate the dosimetric impact of implementing spatially variant polyenergetic and material-specific kernels in a collapsed cone C/S algorithm. Methods: High-resolution, monoenergetic water EDKs and various material-specific EDKs were simulated using the EGSnrc Monte Carlo code. Polyenergetic kernels, reflecting the primary spectrum of a clinical 6 MV photon beam at different locations in a water phantom, were calculated for different depths, field sizes, and off-axis distances. To investigate the dosimetric impact of implementing spatially variant polyenergetic kernels, depth dose curves in water were calculated using two different implementations of the collapsed cone C/S method. The first method uses a single polyenergetic kernel, while the second method fully takes into account spectral changes in the convolution calculation. To investigate the dosimetric impact of implementing material-specific kernels, depth dose curves were calculated for a simplified titanium implant geometry using both a traditional C/S implementation that performs density scaling of water kernels and a novel implementation using material-specific kernels. Results: For our high-resolution kernels, we found good agreement with the Mackie et al. kernels, with some differences near the interaction site for low photon energies (<500 keV). For our spatially variant polyenergetic kernels, we found that depth was the most dominant factor affecting the pattern of energy deposition; however, the effects of field size and off-axis distance were not negligible. For the material-specific kernels, we found that as the density of the material increased, more energy was deposited laterally by charged particles, as opposed to in the forward direction. Thus, density scaling of water kernels becomes a worse approximation as the density and the effective atomic number of the material differ more from water. Implementation of spatially variant, polyenergetic kernels increased the percent depth dose value at 25 cm depth by 2.1%–5.8% depending on the field size, while implementation of titanium kernels gave 4.9% higher dose upstream of the metal cavity (i.e., higher backscatter dose) and 8.2% lower dose downstream of the cavity. Conclusions: Of the various kernel refinements investigated, inclusion of depth-dependent and metal-specific kernels into the C/S method has the greatest potential to improve dose calculation accuracy. Implementation of spatially variant polyenergetic kernels resulted in a harder depth dose curve and thus has the potential to affect beam modeling parameters obtained in the commissioning process. For metal implants, the C/S algorithms generally underestimate the dose upstream and overestimate the dose downstream of the implant. Implementation of a metal-specific kernel mitigated both of these errors. PMID:24320507

  20. Patterns and Practices for Future Architectures

    DTIC Science & Technology

    2014-08-01

    14. SUBJECT TERMS computing architecture, graph algorithms, high-performance computing, big data , GPU 15. NUMBER OF PAGES 44 16. PRICE CODE 17...at Vertex 1 6 Figure 4: Data Structures Created by Kernel 1 of Single CPU, List Implementation Using the Graph in the Example from Section 1.2 9...Figure 5: Kernel 2 of Graph500 BFS Reference Implementation: Single CPU, List 10 Figure 6: Data Structures for Sequential CSR Algorithm 12 Figure 7

  1. DNA extraction methods for detecting genetically modified foods: A comparative study.

    PubMed

    Elsanhoty, Rafaat M; Ramadan, Mohamed Fawzy; Jany, Klaus Dieter

    2011-06-15

    The work presented in this manuscript was achieved to compare six different methods for extracting DNA from raw maize and its derived products. The methods that gave higher yield and quality of DNA were chosen to detect the genetic modification in the samples collected from the Egyptian market. The different methods used were evaluated for extracting DNA from maize kernels (without treatment), maize flour (mechanical treatment), canned maize (sweet corn), frozen maize (sweet corn), maize starch, extruded maize, popcorn, corn flacks, maize snacks, and bread made from corn flour (mechanical and thermal treatments). The quality and quantity of the DNA extracted from the standards, containing known percentages of GMO material and from the different food products were evaluated. For qualitative detection of the GMO varieties in foods, the GMOScreen 35S/NOS test kit was used, to screen the genetic modification in the samples. The positive samples for the 35S promoter and/or the NOS terminator were identified by the standard methods adopted by EU. All of the used methods extracted yielded good DNA quality. However, we noted that the purest DNA extract were obtained using the DNA extraction kit (Roche) and this generally was the best method for extracting DNA from most of the maize-derived foods. We have noted that the yield of DNA extracted from maize-derived foods was generally lower in the processed products. The results indicated that 17 samples were positive for the presence of 35S promoter, while 34% from the samples were positive for the genetically modified maize line Bt-176. Copyright © 2010 Elsevier Ltd. All rights reserved.

  2. Protective Effect of Pulp Oil Extracted from Canarium odontophyllum Miq. Fruit on Blood Lipids, Lipid Peroxidation, and Antioxidant Status in Healthy Rabbits

    PubMed Central

    Shakirin, Faridah Hanim; Azlan, Azrina; Ismail, Amin; Amom, Zulkhairi; Cheng Yuon, Lau

    2012-01-01

    The aim of this paper was to compare the effects of pulp and kernel oils of Canarium odontophyllum Miq. (CO) on lipid profile, lipid peroxidation, and oxidative stress of healthy rabbits. The oils are rich in SFAs and MUFAs (mainly palmitic and oleic acids). The pulp oil is rich in polyphenols. Male New Zealand white (NZW) rabbits were fed for 4 weeks on a normal diet containing pulp (NP) or kernel oil (NK) of CO while corn oil was used as control (NC). Total cholesterol (TC), HDL-C, LDL-c and triglycerides (TG) levels were measured in this paper. Antioxidant enzymes (superoxide dismutase and glutathione peroxidise), thiobarbiturate reactive substances (TBARSs), and plasma total antioxidant status (TAS) were also evaluated. Supplementation of CO pulp oil resulted in favorable changes in blood lipid and lipid peroxidation (increased HDL-C, reduced LDL-C, TG, TBARS levels) with enhancement of SOD, GPx, and plasma TAS levels. Meanwhile, supplementation of kernel oil caused lowering of plasma TC and LDL-C as well as enhancement of SOD and TAS levels. These changes showed that oils of CO could be beneficial in improving lipid profile and antioxidant status as when using part of normal diet. The oils can be used as alternative to present vegetable oil. PMID:22685623

  3. Evaluation of popcorn germplasm for resistance to Sesamia nonagrioides attack.

    PubMed

    Butrón, A; Sandoya, G; Revilla, P; Ordás, A; Malvar, R A

    2005-10-01

    Popcorn adapted to Spanish conditions could be an interesting and profitable alternative to field corn. However, little is known about breeding popcorn germplasm for adaptation to Spain. Sesamia nonagrioides Lefèvbre is the main insect pest affecting popcorn quality and yield under Spanish growing conditions. The objectives of the study were the search for sources of resistance to S. nonagrioides among popcorn germplasm and to study the genetics of the resistance to S. nonagrioides attack. Eight breeding populations along with a five-inbred line diallel and two popcorn commercial checks were evaluated under S. nonagrioides infestation in 2 yr. Significant differences were found among general combining ability (GCA) effects for days to silking, S. nonagrioides tunnel length, general appearance of the ear, kernel moisture, and yield. Specific combining ability (SCA) effects were found to be significant for yield and ear damage. Therefore, heterotic patterns among popcorn materials should be taken into account to generate new popcorn hybrids that are not only more productive but also have higher kernel quality. Breeding popcorn populations BSP4APC0 and PSPW1C1 could be base germplasms in a breeding program for obtaining parental inbreds of healthy kernel popcorn hybrids. New inbred lines could be generated from the cross BP1 x BP2 that would have improved GCA and SCA effects for S. nonagrioides resistance when crossed to South American inbreds.

  4. A Non-Destructive and Direction-Insensitive Method Using a Strain Sensor and Two Single Axis Angle Sensors for Evaluating Corn Stalk Lodging Resistance.

    PubMed

    Guo, Qingqian; Chen, Ruipeng; Sun, Xiaoquan; Jiang, Min; Sun, Haifeng; Wang, Shun; Ma, Liuzheng; Yang, Yatao; Hu, Jiandong

    2018-06-06

    Corn stalk lodging is caused by different factors, including severe wind storms, stalk cannibalization, and stalk rots, and it leads to yield loss. Determining how to rapidly evaluate corn lodging resistance will assist scientists in the field of crop breeding to understand the contributing factors in managing the moisture, chemical fertilizer, and weather conditions for corn growing. This study proposes a non-destructive and direction-insensitive method, using a strain sensor and two single axis angle sensors to measure the corn stalk lodging resistance in the field. An equivalent force whose direction is perpendicular to the stalk is utilized to evaluate the corn lodging properties when a pull force is applied on the corn stalk. A novel measurement device is designed to obtain the equivalent force with the coefficient of variation (CV) of 4.85%. Five corn varieties with two different planting densities are arranged to conduct the experiment using the novel measurement device. The experimental results show that the maximum equivalent force could reach up to 44 N. A strong relationship with the square of the correlation coefficient of 0.88 was obtained between the maximum equivalent forces and the corn field’s stalk lodging rates. Moreover, the stalk lodging angles corresponding to the different pull forces over a measurement time of 20 s shift monotonically along the equivalent forces. Thus, the non-destructive and direction-insensitive method is an excellent tool for rapid analysis of stalk lodging resistance in corn, providing critical information on in-situ lodging dynamics.

  5. The distal portion of the short arm of wheat (Triticum aestivum L.) chromosome 5D controls endosperm vitreosity and grain hardness.

    PubMed

    Morris, Craig F; Beecher, Brian S

    2012-07-01

    Kernel vitreosity is an important trait of wheat grain, but its developmental control is not completely known. We developed back-cross seven (BC(7)) near-isogenic lines in the soft white spring wheat cultivar Alpowa that lack the distal portion of chromosome 5D short arm. From the final back-cross, 46 BC(7)F(2) plants were isolated. These plants exhibited a complete and perfect association between kernel vitreosity (i.e. vitreous, non-vitreous or mixed) and Single Kernel Characterization System (SKCS) hardness. Observed segregation of 10:28:7 fit a 1:2:1 Chi-square. BC(7)F(2) plants classified as heterozygous for both SKCS hardness and kernel vitreosity (n = 29) were selected and a single vitreous and non-vitreous kernel were selected, and grown to maturity and subjected to SKCS analysis. The resultant phenotypic ratios were, from non-vitreous kernels, 23:6:0, and from vitreous kernels, 0:1:28, soft:heterozygous:hard, respectively. Three of these BC(7)F(2) heterozygous plants were selected and 40 kernels each drawn at random, grown to maturity and subjected to SKCS analysis. Phenotypic segregation ratios were 7:27:6, 11:20:9, and 3:28:9, soft:heterozygous:hard. Chi-square analysis supported a 1:2:1 segregation for one plant but not the other two, in which cases the two homozygous classes were under-represented. Twenty-two paired BC(7)F(2):F(3) full sibs were compared for kernel hardness, weight, size, density and protein content. SKCS hardness index differed markedly, 29.4 for the lines with a complete 5DS, and 88.6 for the lines possessing the deletion. The soft non-vitreous kernels were on average significantly heavier, by nearly 20%, and were slightly larger. Density and protein contents were similar, however. The results provide strong genetic evidence that gene(s) on distal 5DS control not only kernel hardness but also the manner in which the endosperm develops, viz. whether it is vitreous or non-vitreous.

  6. Classifying four-category visual objects using multiple ERP components in single-trial ERP.

    PubMed

    Qin, Yu; Zhan, Yu; Wang, Changming; Zhang, Jiacai; Yao, Li; Guo, Xiaojuan; Wu, Xia; Hu, Bin

    2016-08-01

    Object categorization using single-trial electroencephalography (EEG) data measured while participants view images has been studied intensively. In previous studies, multiple event-related potential (ERP) components (e.g., P1, N1, P2, and P3) were used to improve the performance of object categorization of visual stimuli. In this study, we introduce a novel method that uses multiple-kernel support vector machine to fuse multiple ERP component features. We investigate whether fusing the potential complementary information of different ERP components (e.g., P1, N1, P2a, and P2b) can improve the performance of four-category visual object classification in single-trial EEGs. We also compare the classification accuracy of different ERP component fusion methods. Our experimental results indicate that the classification accuracy increases through multiple ERP fusion. Additional comparative analyses indicate that the multiple-kernel fusion method can achieve a mean classification accuracy higher than 72 %, which is substantially better than that achieved with any single ERP component feature (55.07 % for the best single ERP component, N1). We compare the classification results with those of other fusion methods and determine that the accuracy of the multiple-kernel fusion method is 5.47, 4.06, and 16.90 % higher than those of feature concatenation, feature extraction, and decision fusion, respectively. Our study shows that our multiple-kernel fusion method outperforms other fusion methods and thus provides a means to improve the classification performance of single-trial ERPs in brain-computer interface research.

  7. Influence of wheat kernel physical properties on the pulverizing process.

    PubMed

    Dziki, Dariusz; Cacak-Pietrzak, Grażyna; Miś, Antoni; Jończyk, Krzysztof; Gawlik-Dziki, Urszula

    2014-10-01

    The physical properties of wheat kernel were determined and related to pulverizing performance by correlation analysis. Nineteen samples of wheat cultivars about similar level of protein content (11.2-12.8 % w.b.) and obtained from organic farming system were used for analysis. The kernel (moisture content 10 % w.b.) was pulverized by using the laboratory hammer mill equipped with round holes 1.0 mm screen. The specific grinding energy ranged from 120 kJkg(-1) to 159 kJkg(-1). On the basis of data obtained many of significant correlations (p < 0.05) were found between wheat kernel physical properties and pulverizing process of wheat kernel, especially wheat kernel hardness index (obtained on the basis of Single Kernel Characterization System) and vitreousness significantly and positively correlated with the grinding energy indices and the mass fraction of coarse particles (> 0.5 mm). Among the kernel mechanical properties determined on the basis of uniaxial compression test only the rapture force was correlated with the impact grinding results. The results showed also positive and significant relationships between kernel ash content and grinding energy requirements. On the basis of wheat physical properties the multiple linear regression was proposed for predicting the average particle size of pulverized kernel.

  8. Multiple kernels learning-based biological entity relationship extraction method.

    PubMed

    Dongliang, Xu; Jingchang, Pan; Bailing, Wang

    2017-09-20

    Automatic extracting protein entity interaction information from biomedical literature can help to build protein relation network and design new drugs. There are more than 20 million literature abstracts included in MEDLINE, which is the most authoritative textual database in the field of biomedicine, and follow an exponential growth over time. This frantic expansion of the biomedical literature can often be difficult to absorb or manually analyze. Thus efficient and automated search engines are necessary to efficiently explore the biomedical literature using text mining techniques. The P, R, and F value of tag graph method in Aimed corpus are 50.82, 69.76, and 58.61%, respectively. The P, R, and F value of tag graph kernel method in other four evaluation corpuses are 2-5% higher than that of all-paths graph kernel. And The P, R and F value of feature kernel and tag graph kernel fuse methods is 53.43, 71.62 and 61.30%, respectively. The P, R and F value of feature kernel and tag graph kernel fuse methods is 55.47, 70.29 and 60.37%, respectively. It indicated that the performance of the two kinds of kernel fusion methods is better than that of simple kernel. In comparison with the all-paths graph kernel method, the tag graph kernel method is superior in terms of overall performance. Experiments show that the performance of the multi-kernels method is better than that of the three separate single-kernel method and the dual-mutually fused kernel method used hereof in five corpus sets.

  9. Microwave moisture meter for in-shell almonds.

    USDA-ARS?s Scientific Manuscript database

    Determining almond kernel moisture content while still in the shell is important for both almond growers and processors. A dielectric method was developed for almond kernel moisture determination from dielectric measurements on in-shell almonds at a single microwave frequency. A sample holder was fi...

  10. SVM and SVM Ensembles in Breast Cancer Prediction.

    PubMed

    Huang, Min-Wei; Chen, Chih-Wen; Lin, Wei-Chao; Ke, Shih-Wen; Tsai, Chih-Fong

    2017-01-01

    Breast cancer is an all too common disease in women, making how to effectively predict it an active research problem. A number of statistical and machine learning techniques have been employed to develop various breast cancer prediction models. Among them, support vector machines (SVM) have been shown to outperform many related techniques. To construct the SVM classifier, it is first necessary to decide the kernel function, and different kernel functions can result in different prediction performance. However, there have been very few studies focused on examining the prediction performances of SVM based on different kernel functions. Moreover, it is unknown whether SVM classifier ensembles which have been proposed to improve the performance of single classifiers can outperform single SVM classifiers in terms of breast cancer prediction. Therefore, the aim of this paper is to fully assess the prediction performance of SVM and SVM ensembles over small and large scale breast cancer datasets. The classification accuracy, ROC, F-measure, and computational times of training SVM and SVM ensembles are compared. The experimental results show that linear kernel based SVM ensembles based on the bagging method and RBF kernel based SVM ensembles with the boosting method can be the better choices for a small scale dataset, where feature selection should be performed in the data pre-processing stage. For a large scale dataset, RBF kernel based SVM ensembles based on boosting perform better than the other classifiers.

  11. SVM and SVM Ensembles in Breast Cancer Prediction

    PubMed Central

    Huang, Min-Wei; Chen, Chih-Wen; Lin, Wei-Chao; Ke, Shih-Wen; Tsai, Chih-Fong

    2017-01-01

    Breast cancer is an all too common disease in women, making how to effectively predict it an active research problem. A number of statistical and machine learning techniques have been employed to develop various breast cancer prediction models. Among them, support vector machines (SVM) have been shown to outperform many related techniques. To construct the SVM classifier, it is first necessary to decide the kernel function, and different kernel functions can result in different prediction performance. However, there have been very few studies focused on examining the prediction performances of SVM based on different kernel functions. Moreover, it is unknown whether SVM classifier ensembles which have been proposed to improve the performance of single classifiers can outperform single SVM classifiers in terms of breast cancer prediction. Therefore, the aim of this paper is to fully assess the prediction performance of SVM and SVM ensembles over small and large scale breast cancer datasets. The classification accuracy, ROC, F-measure, and computational times of training SVM and SVM ensembles are compared. The experimental results show that linear kernel based SVM ensembles based on the bagging method and RBF kernel based SVM ensembles with the boosting method can be the better choices for a small scale dataset, where feature selection should be performed in the data pre-processing stage. For a large scale dataset, RBF kernel based SVM ensembles based on boosting perform better than the other classifiers. PMID:28060807

  12. Digestibility of solvent-treated Jatropha curcas kernel by broiler chickens in Senegal.

    PubMed

    Nesseim, Thierry Daniel Tamsir; Dieng, Abdoulaye; Mergeai, Guy; Ndiaye, Saliou; Hornick, Jean-Luc

    2015-12-01

    Jatropha curcas is a drought-resistant shrub belonging to the Euphorbiaceae family. The kernel contains approximately 60 % lipid in dry matter, and the meal obtained after oil extraction could be an exceptional source of protein for family poultry farming, in the absence of curcin and, especially, some diterpene derivatives phorbol esters that are partially lipophilic. The nutrient digestibility of J. curcas kernel meal (JKM), obtained after partial physicochemical deoiling was thus evaluated in broiler chickens. Twenty broiler chickens, 6 weeks old, were maintained in individual metabolic cages and divided into four groups of five animals, according to a 4 × 4 Latin square design where deoiled JKM was incorporated into grinded corn at 0, 4, 8, and 12 % levels (diets 0, 4, 8, and 12 J), allowing measurement of nutrient digestibility by the differential method. The dry matter (DM) and organic matter (OM) digestibility of diets was affected to a low extent by JKM (85 and 86 % in 0 J and 81 % in 12 J, respectively) in such a way that DM and OM digestibility of JKM was estimated to be close to 50 %. The ether extract (EE) digestibility of JKM remained high, at about 90 %, while crude protein (CP) and crude fiber (CF) digestibility were largely impacted by JKM, with values closed to 40 % at the highest levels of incorporation. J. curcas kernel presents various nutrient digestibilities but has adverse effects on CP and CF digestibility of the diet. The effects of an additional heat or biological treatment on JKM remain to be assessed.

  13. Emotion Recognition from Single-Trial EEG Based on Kernel Fisher's Emotion Pattern and Imbalanced Quasiconformal Kernel Support Vector Machine

    PubMed Central

    Liu, Yi-Hung; Wu, Chien-Te; Cheng, Wei-Teng; Hsiao, Yu-Tsung; Chen, Po-Ming; Teng, Jyh-Tong

    2014-01-01

    Electroencephalogram-based emotion recognition (EEG-ER) has received increasing attention in the fields of health care, affective computing, and brain-computer interface (BCI). However, satisfactory ER performance within a bi-dimensional and non-discrete emotional space using single-trial EEG data remains a challenging task. To address this issue, we propose a three-layer scheme for single-trial EEG-ER. In the first layer, a set of spectral powers of different EEG frequency bands are extracted from multi-channel single-trial EEG signals. In the second layer, the kernel Fisher's discriminant analysis method is applied to further extract features with better discrimination ability from the EEG spectral powers. The feature vector produced by layer 2 is called a kernel Fisher's emotion pattern (KFEP), and is sent into layer 3 for further classification where the proposed imbalanced quasiconformal kernel support vector machine (IQK-SVM) serves as the emotion classifier. The outputs of the three layer EEG-ER system include labels of emotional valence and arousal. Furthermore, to collect effective training and testing datasets for the current EEG-ER system, we also use an emotion-induction paradigm in which a set of pictures selected from the International Affective Picture System (IAPS) are employed as emotion induction stimuli. The performance of the proposed three-layer solution is compared with that of other EEG spectral power-based features and emotion classifiers. Results on 10 healthy participants indicate that the proposed KFEP feature performs better than other spectral power features, and IQK-SVM outperforms traditional SVM in terms of the EEG-ER accuracy. Our findings also show that the proposed EEG-ER scheme achieves the highest classification accuracies of valence (82.68%) and arousal (84.79%) among all testing methods. PMID:25061837

  14. Emotion recognition from single-trial EEG based on kernel Fisher's emotion pattern and imbalanced quasiconformal kernel support vector machine.

    PubMed

    Liu, Yi-Hung; Wu, Chien-Te; Cheng, Wei-Teng; Hsiao, Yu-Tsung; Chen, Po-Ming; Teng, Jyh-Tong

    2014-07-24

    Electroencephalogram-based emotion recognition (EEG-ER) has received increasing attention in the fields of health care, affective computing, and brain-computer interface (BCI). However, satisfactory ER performance within a bi-dimensional and non-discrete emotional space using single-trial EEG data remains a challenging task. To address this issue, we propose a three-layer scheme for single-trial EEG-ER. In the first layer, a set of spectral powers of different EEG frequency bands are extracted from multi-channel single-trial EEG signals. In the second layer, the kernel Fisher's discriminant analysis method is applied to further extract features with better discrimination ability from the EEG spectral powers. The feature vector produced by layer 2 is called a kernel Fisher's emotion pattern (KFEP), and is sent into layer 3 for further classification where the proposed imbalanced quasiconformal kernel support vector machine (IQK-SVM) serves as the emotion classifier. The outputs of the three layer EEG-ER system include labels of emotional valence and arousal. Furthermore, to collect effective training and testing datasets for the current EEG-ER system, we also use an emotion-induction paradigm in which a set of pictures selected from the International Affective Picture System (IAPS) are employed as emotion induction stimuli. The performance of the proposed three-layer solution is compared with that of other EEG spectral power-based features and emotion classifiers. Results on 10 healthy participants indicate that the proposed KFEP feature performs better than other spectral power features, and IQK-SVM outperforms traditional SVM in terms of the EEG-ER accuracy. Our findings also show that the proposed EEG-ER scheme achieves the highest classification accuracies of valence (82.68%) and arousal (84.79%) among all testing methods.

  15. Explaining Support Vector Machines: A Color Based Nomogram

    PubMed Central

    Van Belle, Vanya; Van Calster, Ben; Van Huffel, Sabine; Suykens, Johan A. K.; Lisboa, Paulo

    2016-01-01

    Problem setting Support vector machines (SVMs) are very popular tools for classification, regression and other problems. Due to the large choice of kernels they can be applied with, a large variety of data can be analysed using these tools. Machine learning thanks its popularity to the good performance of the resulting models. However, interpreting the models is far from obvious, especially when non-linear kernels are used. Hence, the methods are used as black boxes. As a consequence, the use of SVMs is less supported in areas where interpretability is important and where people are held responsible for the decisions made by models. Objective In this work, we investigate whether SVMs using linear, polynomial and RBF kernels can be explained such that interpretations for model-based decisions can be provided. We further indicate when SVMs can be explained and in which situations interpretation of SVMs is (hitherto) not possible. Here, explainability is defined as the ability to produce the final decision based on a sum of contributions which depend on one single or at most two input variables. Results Our experiments on simulated and real-life data show that explainability of an SVM depends on the chosen parameter values (degree of polynomial kernel, width of RBF kernel and regularization constant). When several combinations of parameter values yield the same cross-validation performance, combinations with a lower polynomial degree or a larger kernel width have a higher chance of being explainable. Conclusions This work summarizes SVM classifiers obtained with linear, polynomial and RBF kernels in a single plot. Linear and polynomial kernels up to the second degree are represented exactly. For other kernels an indication of the reliability of the approximation is presented. The complete methodology is available as an R package and two apps and a movie are provided to illustrate the possibilities offered by the method. PMID:27723811

  16. Predicting complex traits using a diffusion kernel on genetic markers with an application to dairy cattle and wheat data

    PubMed Central

    2013-01-01

    Background Arguably, genotypes and phenotypes may be linked in functional forms that are not well addressed by the linear additive models that are standard in quantitative genetics. Therefore, developing statistical learning models for predicting phenotypic values from all available molecular information that are capable of capturing complex genetic network architectures is of great importance. Bayesian kernel ridge regression is a non-parametric prediction model proposed for this purpose. Its essence is to create a spatial distance-based relationship matrix called a kernel. Although the set of all single nucleotide polymorphism genotype configurations on which a model is built is finite, past research has mainly used a Gaussian kernel. Results We sought to investigate the performance of a diffusion kernel, which was specifically developed to model discrete marker inputs, using Holstein cattle and wheat data. This kernel can be viewed as a discretization of the Gaussian kernel. The predictive ability of the diffusion kernel was similar to that of non-spatial distance-based additive genomic relationship kernels in the Holstein data, but outperformed the latter in the wheat data. However, the difference in performance between the diffusion and Gaussian kernels was negligible. Conclusions It is concluded that the ability of a diffusion kernel to capture the total genetic variance is not better than that of a Gaussian kernel, at least for these data. Although the diffusion kernel as a choice of basis function may have potential for use in whole-genome prediction, our results imply that embedding genetic markers into a non-Euclidean metric space has very small impact on prediction. Our results suggest that use of the black box Gaussian kernel is justified, given its connection to the diffusion kernel and its similar predictive performance. PMID:23763755

  17. Effect of Ozone Treatment on Deoxynivalenol and Wheat Quality

    PubMed Central

    Wang, Li; Shao, Huili; Luo, Xiaohu; Wang, Ren; Li, Yongfu; Li, Yanan; Luo, Yingpeng; Chen, Zhengxing

    2016-01-01

    Deoxynivalenol (DON) is a secondary metabolite produced by Fusarium fungi, which is found in a wide range of agricultural products, especially in wheat, barley, oat and corn. In this study, the distribution of DON in the wheat kernel and the effect of exposure time to ozone on DON detoxification were investigated. A high concentration of toxin was found in the outer part of the kernel, and DON was injected from the outside to the inside. The degradation rates of DON were 26.40%, 39.16%, and 53.48% after the samples were exposed to 75 mg/L ozone for 30, 60, and 90 min, respectively. The effect of ozonation on wheat flour quality and nutrition was also evaluated. No significant differences (P > 0.05) were found in protein content, fatty acid value, amino acid content, starch content, carbonyl and carboxyl content, and swelling power of ozone-treated samples. Moreover, the ozone-treated samples exhibited higher tenacity and whiteness, as well as lower extensibility and yellowness. This finding indicated that ozone treatment can simultaneously reduce DON levels and improve flour quality. PMID:26812055

  18. Susceptibility of field populations of the fall armyworm (Lepidoptera: Noctuidae) from Florida and Puerto Rico to purified Cry1F protein and corn leaf tissue containing single and pyramided Bt genes

    USDA-ARS?s Scientific Manuscript database

    Larval survival of Cry1F-susceptible (FL), -resistant (PR and Cry1F-RR), and -heterozygous (FL x PR and Cry1F-RS) populations of the fall armyworm, Spodoptera frugiperda (J.E. Smith) to purified Cry1F protein and corn leaf tissue of seven Bacillus thuringiensis (Bt) corn hybrids and five non-Bt corn...

  19. The Impact of Software Structure and Policy on CPU and Memory System Performance

    DTIC Science & Technology

    1994-05-01

    Mach 3.0 is that Ultrix is a monolithic or integrated system, and Mach 3.0 is a microkernel or kernelized system. In a monolithic system, all system...services are implemented in a single system context, the monolithic kernel . In a microkernel system such as Mach 3.0, primitive abstractions such as...separate protection domain as a server. Many current operating system text books discuss microkernel and monolithic kernel design. (See [17, 73, 77].) The

  20. Mechanisms resulting in accreted ice roughness

    NASA Technical Reports Server (NTRS)

    Bilanin, Alan J.; Chua, Kiat

    1992-01-01

    Icing tests conducted on rotating cylinders in the BF Goodrich's Icing Research Facility indicate that a regular, deterministic, icing roughness pattern is typical. The roughness pattern is similar to kernels of corn on a cob for cylinders of diameter typical of a cob. An analysis is undertaken to determine the mechanisms which result in this roughness to ascertain surface scale and amplitude of roughness. Since roughness and the resulting augmentation of the convected heat transfer coefficient has been determined to most strongly control the accreted ice in ice prediction codes, the ability to predict a priori, location, amplitude and surface scale of roughness would greatly augment the capabilities of current ice accretion models.

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