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<p>Electronic feeders record feeding behavior, enabling identification of feeder replacement events and application of social network analysis (SNA) to characterize individual roles within group dynamics. We estimated genetic parameters for SNA-related traits and performed a single-step weighted genome-wide association (ssWGWAS) in Nellore cattle. Data from 1367 young animals from 32 feed efficiency trials were used to quantify feeder replacement networks. Betweenness and closeness centrality, clustering coefficient, and degree centrality were analyzed using single-step GBLUP models integrating pedigree (n = 5069) and genomic (n = 3860) information. Heritability estimates were low for betweenness centrality (0.04 ± 0.03), closeness centrality (0.05 ± 0.03) clustering coefficient (0.14 ± 0.04) and degree centrality (0.18 ± 0.05). The strongest genetic correlation was observed between closeness and degree centrality (0.81 ± 0.20), whereas the remaining correlations were generally low to moderate, including weak negative associations of clustering coefficient with closeness (− 0.24 ± 0.49) and degree centrality (− 0.09 ± 0.21). The ssWGWAS identified regions harboring genes linked to neural plasticity, motivation, social regulation, and stress responsiveness, including <i>GABRR1</i>, <i>RBFOX1</i>, <i>MET</i>, <i>COMT</i>, <i>CHRNA6</i>, and <i>FOXP2</i>. SNA-related traits showed limited additive genetic variation and were associated with genomic regions involved in neural and behavioral regulation.</p>

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Genetic parameters and genome-wide association for social network traits based on feeder replacement events in beef cattle

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年7月9日

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  • Julia P. S. Valente,
  • Lucio F. M. Mota,
  • Gustavo R. D. Rodrigues,
  • Rafaela Martins,
  • Tainara L. S. Soares,
  • Joel A. Silva,
  • Roberta C. Canesin,
  • Gustavo H. C. Borges,
  • Matheus Deniz,
  • Joao H. C. Costa,
  • Maria E. Z. Mercadante

摘要

Electronic feeders record feeding behavior, enabling identification of feeder replacement events and application of social network analysis (SNA) to characterize individual roles within group dynamics. We estimated genetic parameters for SNA-related traits and performed a single-step weighted genome-wide association (ssWGWAS) in Nellore cattle. Data from 1367 young animals from 32 feed efficiency trials were used to quantify feeder replacement networks. Betweenness and closeness centrality, clustering coefficient, and degree centrality were analyzed using single-step GBLUP models integrating pedigree (n = 5069) and genomic (n = 3860) information. Heritability estimates were low for betweenness centrality (0.04 ± 0.03), closeness centrality (0.05 ± 0.03) clustering coefficient (0.14 ± 0.04) and degree centrality (0.18 ± 0.05). The strongest genetic correlation was observed between closeness and degree centrality (0.81 ± 0.20), whereas the remaining correlations were generally low to moderate, including weak negative associations of clustering coefficient with closeness (− 0.24 ± 0.49) and degree centrality (− 0.09 ± 0.21). The ssWGWAS identified regions harboring genes linked to neural plasticity, motivation, social regulation, and stress responsiveness, including GABRR1, RBFOX1, MET, COMT, CHRNA6, and FOXP2. SNA-related traits showed limited additive genetic variation and were associated with genomic regions involved in neural and behavioral regulation.