基因组选择技术在家畜育种中的应用OA
Application of Genomic Selection Techniques in Livestock Breeding
随着基因组学与数量遗传学的深度融合,基因组选择技术在家畜育种中的实践范围不断扩大.尤其进入21世纪以来,测序技术的不断迭代更新降低了全基因组分型成本,加速了基因组选择在更多家畜物种中的推广应用,并在提高选育群体的生产性能、增强群体疾病抗性和优化育种策略方面展现出巨大的潜力.本文系统综述基因组选择技术在家畜育种中的研究进展与应用.全文围绕:(1)技术原理与发展历程,阐明全基因组分子标记筛选、遗传效应评估的方法学框架;(2)技术所使用的方法及模型,涉及最佳线性无偏估计法、贝叶斯法等传统基因组估计育种值评估方法以及支持向量机、随机森林等机器学习新方法;(3)提高基因组选择准确性的方法,考虑跨品种,结合全基因组关联分析等新方法和手段,增加技术的可靠性和可用性;(4)应用现状分析,重点论述该技术在提高家畜的生产性能、抗病育种和优化育种策略方面的巨大潜力.本文构建了技术原理-应用实践-发展趋势的三维分析体系,为智慧农业背景下家畜育种技术的发展提供理论支撑.
With the deep integration of genomics and quantitative genetics,the practical application of genomic selection techniques in livestock breeding continues to expand.Particularly since the turn of the 21st century,iterative advancements in sequencing technology have reduced the cost of whole-genome genotyping,accelerating the adoption of genomic selection across a broader range of livestock species.This approach demonstrates significant potential in enhancing the production performance of selected populations,strengthening disease resistance within herds,and optimising breeding strategies.This paper provided a systematic review of the research progress and application of genomic selection technology in livestock breeding.The full paper revolves around:(1)the principles and development history of the technology,elucidating the methodological framework for genome-wide molecular marker screening and genetic effect assessment;(2)the methods and models used in the technology,involving traditional genomic estimated breeding value(GEBV)assessment methods such as best linear unbiased prediction(BLUP)and Bayesian method,as well as new methods of machine learning,such as support vector machines and random forests;(3)the methods to improve the accuracy of genome selection,considerations of across breeds,combining new methods and approaches such as genome-wide association analysis to increase the reliability and usability of the technology;(4)analysis of the current status of application,focusing on the great potential of the technology in improving the production performance of livestock,breeding for disease resistance and optimising breeding strategies.This paper constructed a three-dimensional analysis system of technology principle-application practice-trend development to provide theoretical support for the development of livestock breeding technology in the context of smart agriculture.
闫成琪;冯炼君;李发弟;王维民;赵源;田慧彬;张煜坤;李晓龙;张琪;蒲萌茹;高磊;肖子越
兰州大学草地农业科技学院/草种创新与草地农业生态系统全国重点实验室,兰州 730020兰州大学草地农业科技学院/草种创新与草地农业生态系统全国重点实验室,兰州 730020兰州大学草地农业科技学院/草种创新与草地农业生态系统全国重点实验室,兰州 730020兰州大学草地农业科技学院/草种创新与草地农业生态系统全国重点实验室,兰州 730020兰州大学草地农业科技学院/草种创新与草地农业生态系统全国重点实验室,兰州 730020兰州大学草地农业科技学院/草种创新与草地农业生态系统全国重点实验室,兰州 730020兰州大学草地农业科技学院/草种创新与草地农业生态系统全国重点实验室,兰州 730020兰州大学草地农业科技学院/草种创新与草地农业生态系统全国重点实验室,兰州 730020兰州大学草地农业科技学院/草种创新与草地农业生态系统全国重点实验室,兰州 730020兰州大学草地农业科技学院/草种创新与草地农业生态系统全国重点实验室,兰州 730020兰州大学草地农业科技学院/草种创新与草地农业生态系统全国重点实验室,兰州 730020兰州大学草地农业科技学院/草种创新与草地农业生态系统全国重点实验室,兰州 730020
农业科技
基因组选择技术家畜育种应用育种值评估
Genomic selection technologyLivestockBreeding applicationsBreeding value evaluation
《农业生物技术学报》 2026 (3)
480-490,11
国家重点研发计划(2023YFF1001000)甘肃省研产融合科技赋能计划(25FNNH001)甘肃省科技计划项目(25YFNA01722ZD6NC069)武威市科技重大专项(WW23A03ZDQ001)金昌市重点科技计划项目(2024JC00152)
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