韩国霍尔斯坦人群的基因组预测准确性:对牛奶生产特征的全面研究
Md Azizul Haque1, You-Sam Kim2, Chang-Gwon Dang3
1Department of Biotechnology, Yeungnam University, Gyeongbuk 38541, Republic of Korea.
Veterinary journal (London, England : 1997)
|September 15, 2025
概括
与传统方法相比,单步基因组最佳线性无偏预测 (ssGBLUP) 显著提高了韩国霍尔斯坦牛的牛奶生产特征的基因组预测准确性. 这种进步提高了乳制品育种效率和可持续性.
科学领域:
- 动物遗传学和动物繁殖
- 乳制品科学 乳制品科学
- 基因组预测 基因组预测
背景情况:
- 基因组预测对于提高乳牛繁殖效率至关重要.
- 评估不同的基因组预测方法对于优化乳制品生产至关重要.
- 韩国霍尔斯坦牛代表了乳制品研究的重要种群.
研究的目的:
- 为了比较基于血统的BLUP (PBLUP),基于基因组的BLUP (GBLUP) 和单步基因组BLUP (ssGBLUP) 的基因组预测在韩国Holstein奶牛中的准确性.
- 评估这些方法在两个哺乳期的牛奶,脂肪和蛋白质产量特征上的性能.
主要方法:
- 利用了来自14377头韩国霍尔斯坦牛的表型数据来测量乳产特征 (Milk305,Fat305,Prot305).
- 使用Illumina Bovine 50K SNP BeadChip使用2016年奶牛的基因型数据.
- 从PBLUP,GBLUP和ssGBLUP模型中获得的比较预测准确度.
主要成果:
- 与PBLUP和GBLUP相比,单步基因组BLUP (ssGBLUP) 在两种哺乳期对所有研究的特征 (Milk305,Fat305,Prot305) 的预测准确度始终更高.
- 基于血统的BLUP (PBLUP) 产生了最高的遗传概率估计,而GBLUP提供了较低的估计,ssGBLUP提供了中间值.
- 在第一个哺乳期,Milk305的平均预测准确度在0.411 (GBLUP) 到0.528 (ssGBLUP) 之间.
结论:
- 单步基因组BLUP (ssGBLUP) 是提高韩国霍尔斯坦乳牛基因组预测准确性的卓越方法.
- 这些发现支持先进基因组技术的战略整合,以提高奶牛养殖的效率和可持续性.
- 这项研究为优化韩国和全球的育种计划提供了宝贵的见解.
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