在双重用途的simmental牛中对经济重要特征进行基因组选择
Xiaoxue Zhang1, Dan Wang1, Menghua Zhang1
1College of Animal Science, Xinjiang Agricultural University, Urumqi 830052, China.
Animals : an open access journal from MDPI
|July 12, 2025
概括
基因组选择 (GS) 在双重用途的Simmental牛中提高了使用H阵列ssGBLUP的牛奶和繁殖特征的育种价值可靠性. 这种方法提高了牛养殖计划中关键生产特征的遗传评估准确度.
科学领域:
- 动物遗传学动物遗传学
- 量化遗传学 量化遗传学
- 动物育种 动物育种
背景情况:
- 基因组选择 (GS) 是现代动物育种中用于遗传评估的关键工具.
- 双重用途的牛养殖计划越来越多地利用GS进行常规的遗传评估.
- 在中国西北地区,simmental牛代表了繁殖研究的重要群体.
研究的目的:
- 通过使用A-array PBLUP和H-array ssGBLUP方法评估基因组选择的有效性.
- 评估遗传参数和基因组估计育种值 (GEBVs) 对于牛奶生产,繁殖和生长特征的可靠性.
- 确定H矩阵构造对双用途Simmental牛的遗传评估的影响.
主要方法:
- 使用限制最大概率 (REML) 方法进行遗传评估.
- 使用单特征模型与A数组PBLUP和H数组ssGBLUP.
- 分析了西门特牛 (1987-2022) 的牛奶产量,繁殖和生长数据.
主要成果:
- 遗传概率估计为牛奶的0.09-0.31,生殖的0.03-0.43和生长特征的0.13-0.43.
- 在整个种群中,GEBV可靠性增加了0.6-3.2% (牛奶),0.2-2.4% (繁殖) 和0.5-1.5% (增长).
- H-矩阵ssGBLUP改善了GEBV对牛奶 (1.6-4.0%) 和生殖 (0.4-3.6%) 的可靠性,但在基因型种群中降低了生长特征 (-12.0-17.0%).
结论:
- H-矩阵ssGBLUP提高了simmental牛的乳生产和生殖特征的遗传性和GEBV可靠性.
- 在生长特征方面,H矩阵ssGBLUP的益处不那么明显,特别是在较小的种群中.
- 这些研究结果支持将基因组遗传评估应用于西蒙特牛的繁殖,帮助选择和销售优秀的品种群.
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