Genome-wide association analyses identify genotype-by-environment interactions of growth traits in Simmental cattle.

ABSTRACT: Understanding genotype-by-environment interactions (G × E) is crucial to understand environmental adaptation in mammals and improve the sustainability of agricultural production. Here, we present an extensive study investigating the interaction of genome-wide SNP markers with a vast assortment of environmental variables and searching for SNPs controlling phenotypic variance (vQTL) using a large beef cattle dataset. We showed that G × E contribute 10.1%, 3.8%, and 2.8% of the phenotypic variance of birth weight, weaning weight, and yearling weight, respectively. G × E genome-wide association analysis (GWAA) detected a large number of G × E loci affecting growth traits, which the traditional GWAA did not detect, showing that functional loci may have non-additive genetic effects regardless of

SUBMITTER: Braz CU 

PROVIDER: S-EPMC8233360 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature