Sharing of either phenotypes or genetic variants can increase the accuracy of genomic prediction of feed efficiency.

ABSTRACT:

Background

Sharing individual phenotype and genotype data between countries is complex and fraught with potential errors, while sharing summary statistics of genome-wide association studies (GWAS) is relatively straightforward, and thus would be especially useful for traits that are expensive or difficult-to-measure, such as feed efficiency. Here we examined: (1) the sharing of individual cow data from international partners; and (2) the use of sequence variants selected from GWAS of international cow data to evaluate the accuracy of genomic estimated breeding values (GEBV) for residual feed intake (RFI) in Australian cows.

Results

GEBV for RFI were estimated using genomic best linear unbiased prediction (GBLUP) with 50k or high-density single nucleotide polymorphisms (SNPs)

SUBMITTER: Bolormaa S 

PROVIDER: S-EPMC9450441 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature