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Measures to quantify the accuracy and the erosion of genomic predicted breeding values

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Abstract

Genomic predicted breeding values (GPBV) to select animals in breeding programs are nowadays routinely adopted by most commercial livestock production systems. Accuracy of the GPBV (defined here as their correlation with the true phenotypes) has a theoretical limit of √ℎ 2 that is achieved when, among other factors, available SNPs are in sufficient LD with the QTL. However, even under such assumptions, realized accuracies of GPBV remain generally below √ℎ 2 , because allele frequencies and LD patterns differ between reference and target populations (particularly noticeable across generations), resulting in the so-called erosion of SNP effects and consequently, erosion of the accuracy of the GPBV. We present here a measure to quantify the erosion of the GPBV's accuracy through the genomic correlation between reference and target populations and validate this measure through simulations.
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Dates and versions

hal-03731277 , version 1 (20-07-2022)

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  • HAL Id : hal-03731277 , version 1

Cite

B C D Cuyabano, D Boichard, C Gondro. Measures to quantify the accuracy and the erosion of genomic predicted breeding values. 12th World Congress on Genetics Applied to Livestock Production, Jul 2022, Rotterdam, Netherlands. ⟨hal-03731277⟩
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