A deterministic equation to predict the accuracy of multi-population genomic prediction with multiple genomic relationship matrices.

ABSTRACT:

Background

A multi-population genomic prediction (GP) model in which important pre-selected single nucleotide polymorphisms (SNPs) are differentially weighted (MPMG) has been shown to result in better prediction accuracy than a multi-population, single genomic relationship matrix ([Formula: see text]) GP model (MPSG) in which all SNPs are weighted equally. Our objective was to underpin theoretically the advantages and limits of the MPMG model over the MPSG model, by deriving and validating a deterministic prediction equation for its accuracy.

Methods

Using selection index theory, we derived an equation to predict the accuracy of estimated total genomic values of selection candidates from population [Formula: see text] ([Formula: see text]), when individuals from two populati

SUBMITTER: Raymond B 

PROVIDER: S-EPMC7189707 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature