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• W3136067312 abstract "ABSTRACT Genomic selection has revolutionized genetic improvement in animals and plants, but little is known of its long term effects. Here we investigate the long-term effects of genomic selection on the change in the genetic architecture of traits over generations. We defined the genetic architecture as the subset, allele frequencies and statistical additive effects of causal loci. We simulated a livestock population under 50 generations of phenotypic, pedigree, or genomic selection for a single trait, controlled by either only additive, additive and dominance, or additive, dominance and epistatic effects. The simulated epistasis was based on yeast data. The observed change in genetic architecture over generations was similar for genomic and pedigree selection, and slightly smaller for phenotypic selection. Short-term response was highest with genomic selection, while long-term response was highest with phenotypic selection, especially when non-additive effects were present. This was mainly because the loss in genetic variance and in segregating loci was much greater with genomic selection. Compared to pedigree selection, genomic selection lost a similar amount of the genetic variance but maintained more segregating loci, which on average had lower minor allele frequencies. For all selection methods, the presence of epistasis limited the changes in allele frequency and the fixation of causal loci, and substantially changed the statistical additive effects over generations. Our results show that non-additive effects can have a substantial impact on the change in genetic architecture. Therefore, non-additive effects can substantially impact the accuracy and future genetic gain of genomic selection." @default.
• W3136067312 created "2021-03-29" @default.
• W3136067312 creator A5012599944 @default.
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• W3136067312 date "2021-03-16" @default.
• W3136067312 modified "2023-09-26" @default.
• W3136067312 title "The long-term effects of genomic selection: Response to selection, additive genetic variance and genetic architecture" @default.
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• W3136067312 doi "https://doi.org/10.1101/2021.03.16.435664" @default.
• W3136067312 hasPublicationYear "2021" @default.
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