将估计的繁殖值从观察到的转换为健康特征的概率尺度
Jorge Hidalgo1, Shogo Tsuruta1, Dianelys Gonzalez2
1Department of Animal and Dairy Science, University of Georgia, Athens, GA 30602.
Journal of dairy science
|July 14, 2024
概括
与值模型相比,线性模型为乳牛健康特征的遗传评估提供了更快,更稳定的近似值. 这种方法推用于大种群,特别是当特征发生率为6%或更高时.
科学领域:
- 动物遗传学动物遗传学
- 量化遗传学 量化遗传学
- 乳牛养殖 乳牛养殖 乳牛养殖
背景情况:
- 乳牛的健康特征对于动物福利和经济可行性至关重要.
- 目前的遗传评估使用值模型,这些模型在计算上是密集的,容易出现融合问题.
- 线性模型提供了计算优势,但对于基于概率的繁殖值,需要进行尺度转换.
研究的目的:
- 评估线性模型与乳牛健康特征遗传评估值模型相比的准确性.
- 评估特征发生率对线性模型近似精度的影响.
- 确定线性模型对于健康特征的大规模遗传评估的适用性.
主要方法:
- 利用大规模的霍尔斯坦人口数据 (超过500万份健康记录).
- 进行了基因评估的单变值和线性模型.
- 使用斯皮尔曼等级相关性和育种价值分布比较的模型之间的评估一致性.
主要成果:
- 线性模型的速度大约是值模型的三倍.
- 在线性和值模型之间观察到具有≥6%发病率的特征之间有很高的一致性 (相关性≥0.95).
- 对于排位腹部 (2%的发病率) 的近似值低于最佳值,但对于症,腿和乳腺炎 (≥5.1%的发病率) 强大.
结论:
- 线性模型为乳牛健康特征的遗传评估提供了值模型的强大和计算效率高的替代方案.
- 线性模型与值模型的近似对于发生率为6%或更高的特征是可靠的.
- 推使用线性模型来分析大群体中的分类健康特征,以减少计算负担.
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