Genetic diversity in reproductive traits of Braunvieh cattle determined with SNP markers

Abstract

Braunvieh is an important dual‐purpose breed in the Mexican tropics. The study of its genetic diversity is key to implementing genetic improvement programs. This study was conducted to determine genetic diversity of reproductive traits in a Mexican Braunvieh beef cattle population using single nucleotide polymorphisms in candidate genes. Information from 24 genes with 52 intra‐genic loci reported in literature to be associated with productive life, pregnancy rate and cow and heifer conception rate of 150 Braunvieh males and females was considered. Observed heterozygosity (Ho) revealed high genetic diversity for the studied traits, Ho = 0.42 ± 0.087, relative to that of other populations of the same breed. Cluster analyses were carried out using the Ward and K‐means algorithms. These analyses revealed high genetic diversity that was observed in the biplot of non‐metric multi‐dimensional scaling. It was found that clustering strategy allowed visualisation of distant groups by genotype but not by favourable alleles in all the loci. We found that the genes CSNK1E, DNAH11, DSC2, IBSP and OCLN affected most of the traits in our study and they were highly informative. Therefore, they represent a potential resource for selection and crossbreeding programs of the traits studied in Braunvieh. The analyses showed that the Mexican Braunvieh population has a high level of genetic diversity, arguably due to decades‐long adaptation to the Mexican tropics.

Genetic Diversity of Crossbred Cattle using Cytochrome Oxidase Subunit I (COI) Gene in South Sulawesi, Indonesia

“…Major risks include genetic erosion and the loss of breed-specific genetic variation. It is commonly recognized that local cattle, such as those from Bali, have a significant number of favorable features, including the capacity to withstand hot weather conditions, poor fodder quality and resistance to internal parasites and infectious illnesses (Mohamad et al, 2012;Bakae et al, 2022;Liu et al, 2022;Trujano-Chavez et al, 2022;Xu et al, 2020).…”

Genome-Wide Association Study for Body Weight and Carcass Weight in Sumba Ongole Bulls (Bos indicus)

“…In beef cattle, GWAS can detect loci that are associated with average daily gain, body weight, carcass traits, meat quality traits, and sexual precocity traits in Nellore cattle (Santana et al, 2014;Santana et al, 2015;Espigolan et al, 2015;Magalhaes et al, 2016;Irano et al, 2016); growth traits in Charolais cattle (Jahuey-Martinez et al, 2016); growth and reproductive traits in Braunvieh cattle (Zepeda-Batista et al, 2021;Trujano-Chavez et al, 2022); primal beef cuts and body weight in Simmental cattle (Song et al, 2016;Xia et al, 2017), and fatty acid composition in Simmental and Wagyu cattle of China (Zhu et al, 2017;Wang et al, 2019). In addition, GWAS also detects loci associated with milk quality traits in dairy cattle (Ibeagha-Awemu et al, 2016).…”