Effect of genomic selection and genotyping strategy on estimation of variance components in animal models using different relationship matrices.

ABSTRACT:

Background

The traditional way to estimate variance components (VC) is based on the animal model using a pedigree-based relationship matrix (A) (A-AM). After genomic selection was introduced into breeding programs, it was anticipated that VC estimates from A-AM would be biased because the effect of selection based on genomic information is not captured. The single-step method (H-AM), which uses an H matrix as (co)variance matrix, can be used as an alternative to estimate VC. Here, we compared VC estimates from A-AM and H-AM and investigated the effect of genomic selection, genotyping strategy and genotyping proportion on the estimation of VC from the two methods, by analyzing a dataset from a commercial broiler line and a simulated dataset that mimicked the broiler population.

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SUBMITTER: Wang L 

PROVIDER: S-EPMC7291515 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature