畜牧兽医学报 ›› 2024, Vol. 55 ›› Issue (5): 1827-1841.doi: 10.11843/j.issn.0366-6964.2024.05.002

• 综述 • 上一篇    下一篇

动物遗传评估软件研究进展

张元旭1,2, 李竟1,2, 王泽昭2, 陈燕2, 徐凌洋2, 张路培2, 高雪2, 高会江2, 李俊雅2, 朱波2*, 郭鹏1*   

  1. 1. 天津农学院计算机与信息工程学院, 天津 300384;
    2. 中国农业科学院北京畜牧兽医研究所, 北京 100193
  • 收稿日期:2023-10-13 出版日期:2024-05-23 发布日期:2024-05-27
  • 通讯作者: 朱波,主要从事肉牛分子数量遗传学研究,E-mail:zhubo@caas.cn;郭鹏,主要从事并行全基因组选择技术研究,E-mail:super_guopeng@163.com
  • 作者简介:张元旭(2000-),男,山东临沂人,硕士生,主要从事机器学习全基因组选择研究,E-mail:zyx1251865935@163.com
  • 基金资助:
    国家自然科学基金(32272843)

Advances in Animal Genetic Evaluation Software

ZHANG Yuanxu1,2, LI Jing1,2, WANG Zezhao2, CHEN Yan2, XU Lingyang2, ZHANG Lupei2, GAO Xue2, GAO Huijiang2, LI Junya2, ZHU Bo2*, GUO Peng1*   

  1. 1. College of Computer and Information Engineering, Tianjin Agricultural University, Tianjin 300384, China;
    2. Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
  • Received:2023-10-13 Online:2024-05-23 Published:2024-05-27

摘要: 遗传评估软件在动物领域的应用极大地提高了育种工作效率。随着基因组测序技术不断完善和人工智能技术的兴起,动物遗传评估软件也得到了快速的发展。本文首先介绍了常规育种和基因组育种在动物育种领域的应用,然后重点回顾了GBLUP方法、贝叶斯方法和机器学习以及深度学习方法的全基因组遗传评估软件的特点和发展历史,最后展望了计算机软件在动物遗传评估育种中的未来发展趋势,旨为动物育种领域的研究人员提供相关遗传评估软件的参考。

关键词: 动物遗传评估软件, 研究进展, 常规育种, 全基因组育种, 贝叶斯方法, GBLUP, 机器学习

Abstract: The application of genetic evaluation software in the animal field has greatly improved the efficiency of breeding work. With the continuous improvement of genome sequencing technology and the rising of artificial intelligence technology, animal genetic evaluation software also experienced rapid development. This paper firstly introduced the application of conventional breeding and genomic breeding in the field of animal breeding, then focused on reviewing the characteristics and development history of genome-wide genetic evaluation software of GBLUP method, Bayesian method, machine learning and deep learning method, and finally discussed the future development trend of computer software in animal genetic evaluation and breeding, which is intended to provide relevant genetic evaluation software references for researchers in the field of animal breeding.

Key words: animal genetic evaluation software, research progress, conventional methods, genomic breeding, Bayesian method, GBLUP, machine learning

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