摩洛哥荷尔斯坦开放日的遗传分析,使用不同的模型来解释受审查的数据
Narjice Chafai1, Bouabid Badaoui1,2
1Laboratory of Biodiversity, Ecology and Genome, Department of Biology, Faculty of Sciences, Mohammed V University in Rabat, B.P. 1014 RP, Rabat 10100, Morocco.
Animals : an open access journal from MDPI
|January 8, 2025
概括
这项研究评估了处理乳牛受审查的生育数据的方法,发现惩罚和值模型与省略数据相比,改善了开放日 (DO) 的遗传评估.
科学领域:
- 动物遗传学动物遗传学
- 生殖生物学 生殖生物学
- 乳制品科学 乳制品科学
背景情况:
- 生殖效率对于奶牛群的利能力至关重要.
- 对生育特征的审查数据可能会对遗传评估产生偏见,特别是在较小的人群中.
- 对生育特征的精确遗传评估,如开放日 (DO),对于群体改善至关重要.
研究的目的:
- 为了比较不同统计模型在处理被审查的公开日 (DO) 记录中的有效性,在摩洛哥霍尔斯坦乳牛群中.
- 评估数据归算方法对遗传性估计和生育特征预测准确性的影响.
- 确定最合适的方法,以对受审查的数据在人口中对生育能力进行遗传评估.
主要方法:
- 三种模型进行了比较:一种不包含审查数据的线性模型 (LM),一种将审查记录归咎于惩罚线性模型 (PLM) 和一种惩罚值模型 (PTM).
- 这项研究分析了6337头荷尔斯坦牛的8646天的公开记录,其中14.51%的数据被审查.
- 用这些模型计算了DO的遗传参数和育种值.
主要成果:
- 对DO的遗传概率估计有所不同:0.029 ± 0.01 (LM),0.021 ± 0.01 (PLM) 和0.033 ± 0.01 (PTM).
- 与线性模型相比,惩罚线性模型 (PLM) 和惩罚值模型 (PTM) 显示出更高的预测准确度 (分别为0.21和0.20).
- PLM和PTM繁殖值之间的高斯皮尔曼相关性 (0.99) 表明了顶级动物的一致排名.
结论:
- 处罚线性模型 (PLM) 和处罚值模型 (PTM) 都有效地解决了乳制品生育率评估中的受审查数据.
- 这些方法为荷尔斯坦人群中开放日 (DO) 的遗传评估提供了更高的准确性和可靠性.
- 这些发现表明,归算策略对于增强乳牛群生殖效率的遗传选择有价值.
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