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- W4308010943 abstract "Abstract Genomic selection predicts the breeding value of selection candidates according to genotypes that are estimated to have favorable effects based on a model. The effectiveness of genomic selection is strongly tied to its prediction accuracy. Previous studies have evaluated the accuracy of genomic selection using simulations. The aim of this study was to evaluate changes in accuracy of genomic selection based on many known QTLs identified in the literature and determine their relationship with true breeding values. Simulation results revealed that correlation-based prediction accuracies (also referred to as realized accuracy) fluctuate depending on trait genetic architecture, breeding strategy and the number of initial parents involved in the breeding program. Generally, maximum accuracies were achieved under a mass selection strategy followed by pedigree and single seed descent methods. Model updating benefitted some breeding strategies more than others (e.g., single seed descent vs mass selection). For low heritability traits (i.e., yield), conventional methods provided comparable rates of genetic gain, but genetic gain under genomic selection reached a plateau in a lower number of cycles." @default.
- W4308010943 created "2022-11-07" @default.
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- W4308010943 date "2022-11-01" @default.
- W4308010943 modified "2023-10-03" @default.
- W4308010943 title "Simulations of genomic selection accuracy and model updating across multiple breeding strategy scenarios in common bean" @default.
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- W4308010943 doi "https://doi.org/10.21203/rs.3.rs-2097712/v1" @default.
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