随机回归测试日模型的Simmental奶牛的牛奶生产特征的遗传参数
A Otwinowska-Mindur1, E Ptak1, W Jagusiak1
1Department of Genetics, Animal Breeding and Ethology, University of Agriculture in Krakow, al. Mickiewicza 24/28, 30-059 Krakow, Poland.
Animal : an international journal of animal bioscience
|January 10, 2025
概括
波兰的Simmental牛的精确遗传参数估计使用随机回归测试日模型确定. 这些发现加强了对牛奶生产特征的遗传评估,与国际标准保持一致.
科学领域:
- 动物遗传学动物遗传学
- 量化遗传学 量化遗传学
- 乳制品科学 乳制品科学
背景情况:
- 准确的遗传参数估计对于有效评估西蒙特牛的繁殖价值至关重要.
- 欧洲要求和国际评估 (Interbull) 需要精确的遗传数据.
研究的目的:
- 估计波兰simmental牛的牛奶生产特征的遗传参数,使用一个多特征的多边生育随机回归测试-day模型.
- 提供数据,以改善遗传评估和国际西蒙特尔公牛比较.
主要方法:
- 采用了来自波兰国家记录系统的6,447头simmental奶牛 (2002-2021) 的数据.
- 使用BLUPf90包和贝叶斯基布斯采样来估计 (共差) 组件.
- 应用了一个随机回归测试日模型,对固定回归和随机回归分别使用威尔明克和莱根德尔多项式.
主要成果:
- 每日牛奶产量的平均遗传率在0.12 (体细胞得分) 到0.41 (蛋白质含量) 之间.
- 在牛奶,脂肪,蛋白质和乳糖产量之间观察到高阳性遗传相关性 (0.78-0.99).
- 哺乳期遗传能力高于每日估计值,范围从0.29 (体细胞得分) 到0.74 (尿素含量).
结论:
- 估计的遗传参数支持在Simmental遗传评估中应用单特征的多边生育随机回归测试日动物模型.
- 这些参数可以取代当前的哺乳模式,提高准确性和国际可比性.
- 以百分比表达的特征显示出比收益率特征更高的遗传性.
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