Effect of genotyping strategies on the sustained benefit of single-step genomic BLUP over multiple generations.

ABSTRACT:

Background

Single-step genomic best linear unbiased prediction (ssGBLUP) allows the inclusion of information from genotyped and ungenotyped individuals in a single analysis. This avoids the need to genotype all candidates with the potential benefit of reducing overall costs. The aim of this study was to assess the effect of genotyping strategies, the proportion of genotyped candidates and the genotyping criterion to rank candidates to be genotyped, when using ssGBLUP evaluation. A simulation study was carried out assuming selection over several discrete generations where a proportion of the candidates were genotyped and evaluation was done using ssGBLUP. The scenarios compared were: (i) three genotyping strategies defined by their protocol for choosing candidates to be genotyped (R

SUBMITTER: Sanchez-Mayor M 

PROVIDER: S-EPMC8931970 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature