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用随机回归模型对澳大利亚安格斯牛的长寿进行遗传评估
Hassan Aliloo1, Julius H J van der Werf1, Samuel A Clark1
1School of Environmental and Rural Science, University of New England, Armidale, NSW, Australia.
Journal of animal science
|February 8, 2025
概括
在澳大利亚安格斯 (Angus) 牛群中,为牛长寿进行遗传选择是可能的,尽管遗传能力较低. 早期和晚期的寿命在遗传上是不同的,不包括被审查的数据低估了 sire 繁殖价值.
科学领域:
- 动物遗传学动物遗传学
- 量化遗传学 量化遗传学
- 牛肉牛生产 牛肉牛生产
背景情况:
- 牛的寿命对于牛肉行业的利能力和可持续性至关重要.
- 对于长寿的早期选择是具有挑战性的,因为真正的长寿直到牛的生命结束才是未知的.
研究的目的:
- 估计澳大利亚安格斯牛的传统寿命 (TL) 和功能寿命 (FL) 的变异成分和遗传参数.
- 调查审查数据对公牛估计繁殖价值 (EBV) 的影响.
主要方法:
- 使用贝叶斯基布斯采样器应用了一个单特征随机回归模型.
- 分析了五个数据集,基于2岁至11岁的不同杀原因.
- 评估了排除对 sire EBV 进行审查的数据的影响.
主要成果:
- 对于TL和FL的遗传概率估计一般较低 (0.020.20),在46岁之间达到峰值.
- 早期和晚期寿命之间的遗传相关性很低,这表明它们不是相同的遗传特征.
- 除了被审查的数据,低估了 sire EBVs,对年轻的 sire 有更大的负面影响.
结论:
- 附加遗传因素对澳大利亚安格斯 (Angus) 牛的寿命变化有显著的贡献.
- 通过将其纳入长期育种目标,可以实现长寿的遗传改进.
- 精确的遗传评估需要在长寿分析中考虑审查的数据.
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