Using imputation-based whole-genome sequencing data to improve the accuracy of genomic prediction for combined populations in pigs.

ABSTRACT: BACKGROUND:For genomic selection in populations with a small reference population, combining populations of the same breed or populations of related breeds is an effective way to increase the size of the reference population. However, genomic predictions based on single nucleotide polymorphism (SNP)-chip genotype data using combined populations with different genetic backgrounds or from different breeds have not shown a clear advantage over using within-population or within-breed predictions. The increasing availability of whole-genome sequencing (WGS) data provides new opportunities for combined population genomic prediction. Our objective was to investigate the accuracy of genomic prediction using imputation-based WGS data from combined populations in pigs. Using 80K SNP panel genotypes,

SUBMITTER: Song H 

PROVIDER: S-EPMC6805481 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature