A Random Forest-Based Genome-Wide Scan Reveals Fertility-Related Candidate Genes and Potential Inter-Chromosomal Epistatic Regions Associated With Age at First Calving in Nellore Cattle

A Random Forest-Based Genome-Wide Scan Reveals Fertility-Related Candidate Genes and Potential Inter-Chromosomal Epistatic Regions Associated With Age at First Calving in Nellore Cattle

This study aimed to perform a genome-wide association analysis (GWAS) using the Random Forest (RF) approach for scanning candidate genes for age at first calving (AFC) in Nellore cattle. Additionally, potential epistatic effects were investigated using linear mixed models with pairwise interactions...

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Bibliographic Details
Main Authors: Anderson Antonio Carvalho Alves, Rebeka Magalhães da Costa, Larissa Fernanda Simielli Fonseca, Roberto Carvalheiro, Ricardo Vieira Ventura, Guilherme Jordão de Magalhães Rosa, Lucia Galvão Albuquerque
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-05-01
Series:Frontiers in Genetics
Subjects:
beef cattle
candidate genes
ensemble learning
fertility traits
non-parametric methods
physiological epistasis
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2022.834724/full

Internet

https://www.frontiersin.org/articles/10.3389/fgene.2022.834724/full

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