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血统错误如何影响遗传评估和验证统计数据

E C G Pimentel¹, C Edel¹, R Emmerling¹

¹Institute of Animal Breeding, Bavarian State Research Center for Agriculture, Grub, 85586 Germany.

Journal of dairy science

|December 22, 2023

概括

遗传评估中的基因错误会降低预测的准确性并扭曲结果,特别是在单步模型中. 这项研究强调了不准确的亲属信息如何影响在Fleckvieh牛中进行的繁殖价值预测和验证研究.

科学领域:

动物遗传学动物遗传学
量化遗传学量化遗传学
生物信息学是一种生物信息学.

背景情况:

血统数据对于遗传评估至关重要,但错误可能会损害准确性.
之前的研究在没有基因组信息的情况下检查了血统错误效应.
血统错误对先进的单步遗传评估模型的影响仍然不太清楚.

研究的目的:

使用单步模型调查血统错误对遗传评估的影响.
评估血统错误如何影响前预测验证研究.
量化Fleckvieh牛中不同比例的血统错误 (5-20%) 的后果.

主要方法:

使用了来自Fleckvieh牛的真实血统和基因型数据.
模拟的真实繁殖值 (TBV) 和基于0.25.5遗传性的表型.
通过使用正确和含有错误的血统 (5%,10%,20%的错误) 的传统和单步动物模型进行遗传评估.
通过随机将错误的子分配给非基因型的雌性,引入了错误.

主要成果:

血统错误率的增加降低了TBV和估计育种值 (EBV) 之间的相关性.
较高的错误率导致预测标准偏差较低,减少观察到的遗传变异.
在后代测试的公牛中,变异减少比年轻候选人更明显.
在前预测中,减少变化导致早期预测的明显通货膨胀.

结论:

血统错误显著降低了单步模型中遗传评估的准确性.
由于错误,公牛之间随机交换女儿的人工同质化遗传组.
在验证研究期间早期预测中观察到的通货膨胀可能部分由血统错误效应解释.

关键词:

最好的线性无偏预测分散的分散性分散.估计的育种价值估计的育种价值可靠性的可靠性一个阶段的单阶段.

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