新疆农业科学2026，Vol.63Issue(1)：232-240,9.DOI:10.6048/j.issn.1001-4330.2026.01.021
新疆规模化牧场基因组选择效果验证
Verification of genome selection effect of size of large-scale pasture in Xinjiang
摘要
Abstract
[Objective]To analyze the efficiency and feasibility of genomic selection in Holstein cows based on dairy herd improvement(DHI)data and genomic genetic evaluation.[Methods]A total of 534 Holstein cows with both genomic predicted transmitting ability(GPTA)and phenotypic records from large-scale dairy farms in Xinjiang were selected and grouped by GPTA and DHI data.Groupings were also conducted according to culling reasons,productive life and net merit index(NM).Correlations between GPTA for milk yield,productive life,NM and cow culling rate were analyzed,and the consistency between genomic evaluation and phenotypic performance was compared.[Results]Strong correlations were found between GPTA for milk yield and 305 days milk yield,as well as between GPTA for productive life,NM$and cow culling rate.Genomic genetic evaluation was consistent with phenotypic data in cow culling decisions.[Conclusion]Genomic evaluation of Holstein cows is sufficiently accurate and can be used for early precise selection and scientific breeding and mating of cow populations.关键词
荷斯坦母牛/基因组选择/遗传评估/生产寿命/净价值指数Key words
Holstein cows/genomic selection/genetic evaluation/productive life/net merit index分类
农业科技引用本文复制引用
张莎莎,魏勇,邹阿玲,魏天雨,李智星,彭夏雨..新疆规模化牧场基因组选择效果验证[J].新疆农业科学,2026,63(1):232-240,9.基金项目
自治区三农骨干人才培养项目(2022SNGGGCC003) （2022SNGGGCC003）
自治区青年科技拔尖人才项目 （）
兵团南疆重点产业创新发展支撑计划项目"基于基因组选择的规模化奶牛场高效繁育技术体系集成示范与应用推广"(2021DB016) Autonomous Region Three Rural Backbone Talent Training Project(2022SNGGGCC003) （2021DB016）
Autonomous Region Youth Science and technology top talent project （）
Key Industry Innovation and Development Support Plan Project in Southern Xinjiang of the Xinjiang Production and Construction Corps"Integrated demonstration and application promotion of efficient breeding technology system for large-scale dairy farms based on genome selection"(2021DB016) （2021DB016）
