Relevant loci for milk production in dairy cattle, obtained by machine learning algorithms

Abstract

Background: Extensive genetic research focused on identifyng associations between single nucleotide polymorphism (SNP) markers located all over the genome and milk traits were conducted for different dairy cattle breeds. Most published genome-wide association studies (GWAS) were performed fitting linear, multivariate and Bayesian linear mixed models. Machine learning (ML) methods have been shown to be efficient in identifying SNP underlying a trait of interest.