单步基因组BLUP (ssGBLUP) 有效地模拟小牛种群:从以色列-霍尔斯坦牧场手册中吸取教训
Arie Yehuda Curzon1,2, Ephraim Ezra3, Joel Ira Weller3
1ARO, The Volcani Center, Rishon LeZion, 15159, Israel.
BMC genomics
|November 28, 2024
概括
牛的基因型定型提高了乳牛的基因组繁殖值 (gEBVs),特别是在较小的种群中. 调整数据纳入和多基因权重可以提高预测准确度,尽管年轻公牛可能被高估.
科学领域:
- 动物遗传学和动物繁殖
- 乳牛的基因组学 乳牛的基因组学
- 量化遗传学 量化遗传学
背景情况:
- 目前以色列乳牛的基因组估计繁殖值 (gEBV) 使用两步方法与荷兰人口数据,仅包括 sire 基因型.
- 这项研究调查了将以色列霍尔斯坦牛基因型纳入gEBV预测中的潜力,使用单步基因组最佳线性无偏预测 (ssGBLUP).
研究的目的:
- 评估以色列牛基因型对gEBVs准确性的贡献.
- 评估数据选择 (表型和基因型记录) 和多基因权重对gEBV预测的影响.
- 为了确定在较小种群中可靠估计gEBV所需的基因型母牛的数量.
主要方法:
- 从截断的数据集 (省略最近的数据) 与当前的gEBV进行了比较.
- 在基因组关系矩阵中分析了多基因重量变化的影响.
- 研究了排除较旧的表型和基因型记录的影响.
主要成果:
- 预测和当前gEBV之间的相关性为0.64 (牛奶),0.57 (脂肪) 和0.56 (蛋白质),多基因重量为0.5,与两步方法相比.
- 对1.8-5头奶牛进行基因定型,为某些特征提供了相当于额外一头公牛的统计能力.
- 在2000年之前省略记录的效果很小,而在1995年之前省略基因型则改善了回归系数.
结论:
- 通过ssGBLUP将牛基因型纳入其中,可以显著提高较小乳牛种群中的gEBV可靠性.
- 优化记录和多基因权重的时间窗口对于准确的gEBV预测至关重要.
- 据估计,大约有13,000头基因型的奶牛可以为可靠的ssGBLUP基的gEBVs创造一个足够大的培训群体.
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