GWAS-Based Identification of New Loci for Milk Yield, Fat, and Protein in Holstein Cattle.

ABSTRACT: High-yield and high-quality of milk are the primary goals of dairy production. Understanding the genetic architecture underlying these milk-related traits is beneficial so that genetic variants can be targeted toward the genetic improvement. In this study, we measured five milk production and quality traits in Holstein cattle population from China. These traits included milk yield, fat, and protein. We used the estimated breeding values as dependent variables to conduct the genome-wide association studies (GWAS). Breeding values were estimated through pedigree relationships by using a linear mixed model. Genotyping was carried out on the individuals with phenotypes by using the Illumina BovineSNP150 BeadChip. The association analyses were conducted by using the fixed and random model Circu

SUBMITTER: Liu L 

PROVIDER: S-EPMC7694478 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature