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ABSTRACT: Background
Genotypic information produced from single nucleotide polymorphism (SNP) arrays has routinely been used to identify genomic regions associated with complex traits in beef and dairy cattle. Herein, we assembled a dataset consisting of 15,815 Red Angus beef cattle distributed across the continental U.S. and a union set of 836,118 imputed SNPs to conduct genome-wide association analyses (GWAA) for growth traits using univariate linear mixed models (LMM); including birth weight, weaning weight, and yearling weight. Genomic relationship matrix heritability estimates were produced for all growth traits, and genotype-by-environment (GxE) interactions were investigated.Results
Moderate to high heritabilities with small standard errors were estimated for birth weight (0.5
SUBMITTER: Smith JL
PROVIDER: S-EPMC9287884 | biostudies-literature | 2022 Jul
REPOSITORIES: biostudies-literature