grain analyzer Articles
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Corn response to competition: growth alteration vs. yield limiting factors
Competition mechanisms among adjacent plants are not well understood. This study compared corn growth and yield responses to water, N, and shade at 74,500 plants ha–1 (1x) with responses to water and N when planted at 149,000 plant ha–1. Plant biomass, leaf area, chlorophyll content, reflectance, and enzyme expression (transcriptome analysis) were measured at V-12. Grain and stover yields were ...
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A comparison of mixed-model analyses of the Iowa Crop performance test for corn
Multienvironment trials generally have highly unbalanced data structures in which a particular cultivar is only observed in a subset of all environments for which data are available. A very common approach to reporting data from such unbalanced data is to subset the data into balanced subsets and restrict comparisons within balanced subsets. Such an approach results in much information being ...
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Measuring grain protein concentration with in-line near infrared reflectance spectroscopy
The advent of near infrared (NIR) on-combine sensors gives growers the opportunity to measure the grain protein concentration of wheat (Triticum aestivum L.) during harvest. A study consisting of three sequential experiments (laboratory bench, combine test stand, and field) was conducted to evaluate the performance of an in-line, NIR reflectance spectrometer, referred to as the ProSpectra Grain ...
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Hopper charging with spherical particles including rolling resistance mechanism - Case Study
Project Description Evaluate the feasibility of using the distinct‐ element modeling to study the flow and segregation of frictional particles without cohesion. Simulate an experimental test corresponding to the charge/discharge of a scale model batch hopper. Analyze the segregation observed in the hopper after its charge. OFFICE France Itasca Consultants S.A.S. ...
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Confirmation of molecular markers and agronomic traits associated with seed phytate content in two soybean RIL populations
The concentration of phytate is an important consideration when analyzing feed grain for livestock. Simple sequence repeat markers Satt237 and Satt561 were found to be linked to quantitative trait loci (QTLs) for phytate concentration in soybean [Glycine max (L.) Merr.] seed. Previous research also established a significant correlation between seed inorganic phosphorus (Pi) and seed phytate. The ...
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Grain sorghum and corn comparisons: yield, economic, and environmental responses
Grain sorghum [Sorghum bicolor (L.) Moench] is often grown where water stress is expected. But, improved drought tolerance in corn (Zea mays L.) hybrids has resulted in increased dryland corn production in preference to grain sorghum. However, grain sorghum may still have a yield advantage over corn in drought prone environments. This study was conducted to determine if grain sorghum has either a ...
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Genotype x environment interactions of hybrid and varietal rice cultivars for grain yield and milling quality
The study of genotype x environment interaction is critical for accurate cultivar evaluation in large multi-environment trials. Cultivars that exhibit high levels of mean performance and stability across a wide range of environmental conditions are desirable for rice production. Pure-line varietal and hybrid rice cultivars are commercially produced in the U.S.; however, little research has been ...
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Analysis of Genotype X environment interactions for grain yield in durum wheat
Genotype x environment (GE) interactions are important sources of variation in crop breeding programs. The objectives of this study were (i) to analyze GE interactions on grain yield of one bread wheat (Triticum aestivum L.) and 19 durum wheat [T. turgidum L. subsp. durum (Desf.) Husn.] genotypes by the additive main effects and multiplicative interaction (AMMI) model, and (ii) to evaluate ...
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