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• W2976432222 abstract "Abstract Soybean is a crop of major economic importance with low rates of genetic gains for grain yield compared to other field crops. A deeper understanding of the genetic architecture of yield components may enable better ways to tackle the breeding challenges. Key yield components include the total number of pods, nodes and the ratio pods per node. We evaluated the SoyNAM population, containing approximately 5600 lines from 40 biparental families that share a common parent, in 6 environments distributed across 3 years. The study indicates that the yield components under evaluation have low heritability, a reasonable amount of epistatic control, and partially oligogenic architecture: 18 quantitative trait loci were identified across the three yield components using multi-approach signal detection. Genetic correlation between yield and yield components was highly variable from family-to-family, ranging from −0.2 to 0.5. The genotype-by-environment correlation of yield components ranged from −0.1 to 0.4 within families. The number of pods can be utilized for indirect selection of yield. The selection of soybean for enhanced yield components can be successfully performed via genomic prediction, but the challenging data collections necessary to recalibrate models over time makes the introgression of QTLs a potentially more feasible breeding strategy. The genomic prediction of yield components was relatively accurate across families, but less accurate predictions were obtained from within-family predictions and predicting families not observed included in the calibration set." @default.
• W2976432222 created "2019-10-03" @default.
• W2976432222 creator A5003123467 @default.
• W2976432222 creator A5047024648 @default.
• W2976432222 date "2019-09-26" @default.
• W2976432222 modified "2023-09-23" @default.
• W2976432222 title "Quantitative Genomic Dissection of Soybean Yield Components" @default.
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• W2976432222 doi "https://doi.org/10.1101/784538" @default.
• W2976432222 hasPublicationYear "2019" @default.
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