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Machine learning algorithms identified relevant SNPs for milk fat content in cattle
(Sociedad Argentina de Informática, 2021-10)In recent years, machine learning methods have been shown to be efficient in identifying a subset of single nucleotide polymorphisms (SNP) underlying a trait of interest. The aim of this study was the construction of ... -
Weighted single-step genome-wide association analyses for milk traits in Holstein and Holstein x Jersey crossbred dairy cattle
(Elsevier, 2020-12)The purpose of this study was to identify genomic regions explaining a major proportion of the genetic variance in milk production and milk fat and protein content on a commercial herd of Holstein and Holstein x Jersey ...