A low-density SNP genotyping panel for the accurate prediction of cattle breeds.

ABSTRACT: Genomic tools to better define breed composition in agriculturally important species have sparked scientific and commercial industry interest. Knowledge of breed composition can inform multiple scientifically important decisions of industry application including DNA marker-assisted selection, identification of signatures of selection, and inference of product provenance to improve supply chain integrity. Genomic tools are expensive but can be economized by deploying a relatively small number of highly informative single-nucleotide polymorphisms (SNP) scattered evenly across the genome. Using resources from the 1000 Bull Genomes Project we established calibration (more stringent quality criteria; N = 1,243 cattle) and validation (less stringent; N = 864) data sets representing 17 breeds der

SUBMITTER: Reverter A 

PROVIDER: S-EPMC8202515 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature