Multibreed genomic prediction using summary statistics and a breed-origin-of-alleles approach.

ABSTRACT: Because of an increasing interest in crossbreeding between dairy breeds in dairy cattle herds, farmers are requesting breeding values for crossbred animals. However, genomically enhanced breeding values are difficult to predict in crossbred populations because the genetic make-up of crossbred individuals is unlikely to follow the same pattern as for purebreds. Furthermore, sharing genotype and phenotype information between breed populations are not always possible, which means that genetic merit (GM) for crossbred animals may be predicted without the information needed from some pure breeds, resulting in low prediction accuracy. This simulation study investigated the consequences of using summary statistics from single-breed genomic predictions for some or all pure breeds in two- and three

SUBMITTER: Clasen JB 

PROVIDER: S-EPMC10313778 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature