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Assessing Predictive Properties of Genome-Wide Selection in Soybeans
Many economically important traits in plant breeding have low heritability or are difficult to measure. For these traits, genomic selection has attractive features and may boost genetic gains. OurExpand
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NAM: association studies in multiple populations
MOTIVATION Mixed linear models provide important techniques for performing genome-wide association studies. However, current models have pitfalls associated with their strong assumptions. Here, weExpand
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Genetic Architecture of Soybean Yield and Agronomic Traits
Soybean is the world’s leading source of vegetable protein and demand for its seed continues to grow. Breeders have successfully increased soybean yield, but the genetic architecture of yield and keyExpand
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Genetic Architecture of Phenomic-Enabled Canopy Coverage in Glycine max
Digital imagery can help to quantify seasonal changes in desirable crop phenotypes that can be treated as quantitative traits. Because limitations in precise and functional phenotyping restrainExpand
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Genome-Wide Analysis of Grain Yield Stability and Environmental Interactions in a Multiparental Soybean Population
Genetic improvement toward optimized and stable agronomic performance of soybean genotypes is desirable for food security. Understanding how genotypes perform in different environmental conditionsExpand
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Impact of imputation methods on the amount of genetic variation captured by a single-nucleotide polymorphism panel in soybeans
BackgroundSuccess in genome-wide association studies and marker-assisted selection depends on good phenotypic and genotypic data. The more complete this data is, the more powerful will be the resultsExpand
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Walking through the statistical black boxes of plant breeding
Key messageThe main statistical procedures in plant breeding are based on Gaussian process and can be computed through mixed linear models.AbstractIntelligent decision making relies on our ability toExpand
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Using unsupervised learning techniques to assess interactions among complex traits in soybeans
Soybean yield components and agronomic traits are connected through physiological pathways that impose tradeoffs through genetic and environmental constraints. Our primary aim is to assess theExpand
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Genomic prediction using subsampling
BackgroundGenome-wide assisted selection is a critical tool for the genetic improvement of plants and animals. Whole-genome regression models in Bayesian framework represent the main family ofExpand
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Phenotypic Variation and Genetic Architecture for Photosynthesis and Water Use Efficiency in Soybean (Glycine max L. Merr)
Photosynthesis (A) and intrinsic water use efficiency (WUE) are physiological traits directly influencing biomass production, conversion efficiency, and grain yield. Though the influence ofExpand
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