Impact of genomic preselection on subsequent genetic evaluations with ssGBLUP using real data from pigs.

ABSTRACT:

Background

Empirically assessing the impact of preselection on genetic evaluation of preselected animals requires comparing scenarios that take different approaches into account, including scenarios without preselection. However, preselection is almost always performed in animal breeding programs, so it is difficult to have a dataset without preselection. Hence, most studies on preselection have used simulated datasets, and have concluded that genomic estimated breeding values (GEBV) from subsequent single-step genomic best linear unbiased prediction (ssGBLUP) evaluations are unbiased. The aim of this study was to investigate the impact of genomic preselection (GPS) on accuracy and bias in subsequent ssGBLUP evaluations, using data from a commercial pig breeding program.

Methods

SUBMITTER: Jibrila I 

PROVIDER: S-EPMC9238012 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature