推断终身生殖特征的因果关系和模拟Murciano-Granadina山羊的潜在生殖性能变量
Morteza Mokhtari1, Ali Esmailizadeh2, Mehdi Momen3
1Faculty of Agriculture, Department of Animal Science, University of Jiroft, Jiroft, Iran.
概括
结构方程模型改善了穆尔西亚诺-格拉纳迪纳山羊生殖特征的遗传分析. ICM-BM模型将生殖性能 (RP) 确定为繁殖的关键潜变量.
科学领域:
- 动物遗传学动物遗传学
- 量化遗传学 量化遗传学
- 生殖生物学 生殖生物学
背景情况:
- 终身生殖特征对于乳山羊的生产力至关重要.
- 精确的遗传评估需要适当的统计模型.
- 穆尔西亚诺-格拉纳迪纳山羊是一种有价值的乳品品种.
研究的目的:
- 应用结构方程模型 (SEMs) 来对Murciano-Granadina山羊的一生生殖特征进行遗传分析.
- 为了比较不同SEM的预测能力,包括基于标准 (SMM) 和诱导因果关系 (ICM) 的模型.
- 开发一种潜在的生殖性能 (RP) 变量模型,并评估其遗传性和遗传相关性.
主要方法:
- 2016-2023年的数据是来自伊朗一家私人农场的穆尔西亚诺-格拉纳迪纳山羊.
- 配备了四种多变体动物模型:SMM,ICM,ICM具有生物修饰 (ICM-BM) 和完全递归 (FRM).
- 使用平均平方预测错误 (MSE) 和皮尔森相关性 (r(y, )) 评估的模型. 确认因素分析 (CFA) 用于隐性变量构造.
主要成果:
- 国际导弹导弹模型表现出卓越的预测能力 (最低的MSE,最高的r,y).
- 对于终身生殖特征 (OLSB,OLSW,OLWB,OLWW) 的遗传概率估计较低 (0.06-0.11).
- 在特征和潜在RP变量之间观察到高正遗传相关性 (0.72-0.95) 和表型相关性 (0.81-0.95).
结论:
- 该ICM-BM模型为该品种的生殖特征的遗传评估提供了优势.
- 低遗传性表明这些特征受到重要的环境和非添加性遗传影响.
- 潜生殖性能 (RP) 变量是繁殖计划的有希望的工具,因为它具有很强的相关性.
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