Genome-Wide Association Study Reveals Candidate Genes Underlying Reproduction-Associated Conformation Traits in Jersey Cattle

Reproductive traits are essential in dairy cattle breeding, and improving body conformation is considered beneficial for reproductive performance. This study systematically analyzed the genetic relationships between six key conformation traits—stature (ST), body depth (BD), loin strength (LS), rump angle (RA), rump width (RW), bone quality (BQ)—and reproductive performance in 1631 Jersey cattle from China. Heritability estimates for conformation traits ranged from 0.05 to 0.62. We identified significant phenotypic and genetic correlations between conformation and reproductive traits, and regression analyses confirmed the predictive value of conformation traits for reproductive outcomes. Genome-wide association studies detected 24 significant SNPs associated with ST, RW, RA, and BQ. Subsequent bioinformatics analysis revealed seven candidate genes (AZIN1, OR2H1, HS6ST3, ERCC4, KCNH5, KRT19, KRT35) involved in embryonic development and estrous cycle regulation. Notably, incorporating six SNPs, which are linked to these candidate genes, into genomic prediction models significantly improved the accuracy for predicting Age at First Calving (AFC) and Gestation Length (GL). These results elucidate the shared genetic basis of conformation and reproduction, providing theoretical support for using conformation traits in marker-assisted selection to enhance reproductive efficiency in Jersey cattle.

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Publication Details

Journal
Agriculture
Published
2025-12-22
DOI
https://doi.org/10.3390/agriculture16010031
Primary Topic
Genetic and phenotypic traits in livestock
Type
article
Field-Weighted Citation Impact
0.00

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article

Genome-Wide Association Study Reveals Candidate Genes Underlying Reproduction-Associated Conformation Traits in Jersey Cattle

Mudasir Nazar, Zhangping Yang, Tianqi Zhao, Zeliang Huang et al.
Agriculture
Genetic and phenotypic traits in livestock
article

Genome-Wide Association Study Reveals Candidate Genes Underlying Reproduction-Associated Conformation Traits in Jersey Cattle

Mudasir Nazar, Zhangping Yang, Tianqi Zhao, Zeliang Huang, Hao Zhu, Xin L. Lu, Zhijian Zhu, Hui Jiang, Zhaoying Song
article en

Abstract

Reproductive traits are essential in dairy cattle breeding, and improving body conformation is considered beneficial for reproductive performance. This study systematically analyzed the genetic relationships between six key conformation traits—stature (ST), body depth (BD), loin strength (LS), rump angle (RA), rump width (RW), bone quality (BQ)—and reproductive performance in 1631 Jersey cattle from China. Heritability estimates for conformation traits ranged from 0.05 to 0.62. We identified significant phenotypic and genetic correlations between conformation and reproductive traits, and regression analyses confirmed the predictive value of conformation traits for reproductive outcomes. Genome-wide association studies detected 24 significant SNPs associated with ST, RW, RA, and BQ. Subsequent bioinformatics analysis revealed seven candidate genes (AZIN1, OR2H1, HS6ST3, ERCC4, KCNH5, KRT19, KRT35) involved in embryonic development and estrous cycle regulation. Notably, incorporating six SNPs, which are linked to these candidate genes, into genomic prediction models significantly improved the accuracy for predicting Age at First Calving (AFC) and Gestation Length (GL). These results elucidate the shared genetic basis of conformation and reproduction, providing theoretical support for using conformation traits in marker-assisted selection to enhance reproductive efficiency in Jersey cattle.

AgricultureVol. 16(1)
University of Swat (PK), Wenzhou Institute of Technology Testing & Calibration (CN), Yangzhou University (CN), University of Veterinary and Animal Sciences (PK)
National Natural Science Foundation of China, Government of Jiangsu Province, Natural Science Foundation of Jiangsu Province, Yangzhou University, National Key Research and Development Program of China
Zero hunger
Openalex Percentile: Top 26%
Genetic and phenotypic traits in livestock
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