广东畜牧兽医科技 ›› 2026, Vol. 51 ›› Issue (3): 67-72.DOI: 10.19978/j.cnki.xmsy.2026.03.09

• • 上一篇    

猪重要生产性状遗传解析及其功能基因的研究进展

仉树德   

  1. (沧州渤海新区黄骅市农业农村发展局,河北黄骅061100)
  • 收稿日期:2026-02-01 修回日期:2026-06-01 接受日期:2026-06-03 出版日期:2026-06-18 发布日期:2026-06-18

Research Progress on Genetic Dissection and Functional Genes Underlying Important Economic Traits in Pigs

ZHANG Shude   

  1. (Agriculture and Rural Development Bureau of Huanghua City,Cangzhou Bohai New District,Hebei Huanghua 061100)
  • Received:2026-02-01 Revised:2026-06-01 Accepted:2026-06-03 Online:2026-06-18 Published:2026-06-18

摘要: 猪生产性状是衡量生猪生产效率与养殖经济效益的核心指标,其遗传改良是生猪育种领域的核心研究方向和重要实践目标。高通量测序与分子生物学技术的快速发展使得猪生产性状的遗传基础解析已从传统候选基因靶向分析迈入全基因组系统解析的新阶段。该文系统综述了包括全基因组关联分析(GWAS)和多组学整合分析在内的多种技术方法,并探讨了这些方法在解析两大类生产性状(即生长发育与饲料利用性状、胴体组成与肉质品质性状)遗传基础方面的应用与进展。该文还展望了该研究领域未来的技术发展趋势,以期为种猪遗传改良及生猪种业高质量发展提供参考依据。

关键词: 猪;生产性状;遗传解析;功能基因;分子育种

Abstract: Porcine production traits serve as core indicators for evaluating the efficiency and economic returns of swine production. Consequently,their genetic improvement remains a central research focus and key practical objective in swine breeding. The rapid advancement of high?throughput sequencing and molecular biology technologies has extended the elucidation of the genetic basis of porcine production traits beyond traditional candidate ? gene targeting analyses,ushering in a new era of comprehensive,genome ? wide systematic analysis. This paper systematically reviews various technical approaches—including genome?wide association studies(GWAS)and multi? omics integration analyses—and examines their application and progress in deciphering the genetic underpinnings of two major categories of production traits:growth,development,and feed utilization;and carcass composition and meat quality. Furthermore,the paper outlines future technological trends within this research domain,aiming to provide a valuable reference for the genetic improvement of breeding stock and the high?quality development of the swine breeding industry.

Key words: Swine;Production traits;Genetic analysis;Functional genes;Molecular breeding

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