Genomic selection for genotype performance and stability using information on multiple traits and multiple environments.

ABSTRACT:

Key message

The inclusion of multiple traits and multiple environments within a partially separable factor analytic approach for genomic selection provides breeders with an informative framework to utilise genotype by environment by trait interaction for efficient selection. This paper develops a single-stage genomic selection (GS) approach which incorporates information on multiple traits and multiple environments within a partially separable factor analytic framework. The factor analytic linear mixed model is an effective method for analysing multi-environment trial (MET) datasets, but has not been extended to GS for multiple traits and multiple environments. The advantage of using all information is that breeders can utilise genotype by environment by trait interaction (GETI) to

SUBMITTER: Bancic J 

PROVIDER: S-EPMC10082131 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature