工具来完善未知母组定义的工具
1Council on Dairy Cattle Breeding, Bowie, MD 20716; Department of Animal and Dairy Science, University of Georgia, Athens, GA 30602.
Journal of dairy science
|December 11, 2024
概括
本研究引入了新的方法,通过定义形成UPG的规则来改进遗传评估中的未知父组 (UPG) 模型. 加入UPG提高了健康特征的准确性,但对产量特征的影响最小.
科学领域:
- 动物育种与遗传学
- 量化遗传学 量化遗传学
- 统计遗传学 统计遗传学
背景情况:
- 在遗传评估中,未知父母组 (UPG) 可能导致缺失父母身份,影响准确性.
- 形成UPG需要有系统的规则,特别是随着日益复杂的遗传评估.
- 准确的UPG形成对于可靠的遗传评估和育种价值估计至关重要.
研究的目的:
- 开发和评估定义规则的方法,以组建未知母组 (UPG).
- 确定信息性,并加入在品种和途径内连续的UPG,以改进遗传评估.
- 使用简化模型估计UPG之间的对比的精度.
主要方法:
- 从后代传播到祖先的记录分数,以计算伪计数.
- 实施两种加入UPG的规则:在时间上向前,直到记录出现,向后到最小的伪计数.
- 使用简化模型估计UPG之间的对比的精度.
- 将方法应用于美国传统BLUP对产量和健康特征的评估.
主要成果:
- 加入UPG显著影响了基因趋势和健康特征的估计育种值,特别是在小型品种中.
- 对于产量特征,加入UPG对估计的繁殖值和遗传趋势的影响很小,伪记录数量很高.
- 对于UPG,拟议的连接策略提高了准确性,以较低的标准误差显示对比度.
- 对于大型数据集来说,计算是可行的.
结论:
- 开发的方法为形成UPG提供了系统的规则,提高了遗传评估的准确性.
- 加入UPG对健康等特征特别有益,特别是在较小的品种中.
- 这些发现表明,精细的UPG定义对于准确的遗传趋势和育种价值估计的重要性.
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