伊斯法罕本土的生长曲线的遗传变异组成部分
Mostafa Ghaderi-Zefrehei1, Farjad Rafeie2, Sonia Zakizadeh3
1Department of Animal Science, Faculty of Agriculture, Yasouj University, Yasouj, Iran.
Veterinary medicine and science
|February 21, 2024
概括
用非线性函数模拟的生长曲线有助于优化动物生产. 戈珀茨模型最好地描述了伊斯法罕本土的生长,表明了改进的遗传潜力.
科学领域:
- 动物科学动物科学
- 遗传学 遗传学 是一个
- 定量生物学 定量生物学
背景情况:
- 对动物生长曲线的准确建模对于优化生产战略至关重要.
- 非线性功能参数为发展速度和管理需求提供了精确的洞察力.
研究的目的:
- 估计伊斯法罕本土的生长特征的遗传参数.
- 确定最佳的非线性模型来描述它们的生长曲线.
主要方法:
- 使用限制最大概率 (REML) 方法与WOMBAT软件进行遗传参数估计.
- 通过使用R2,MSE和AIC,比较了八种非线性增长模型 (Logistic,Gompertz,von Bertalanffy,Brody,负指数,Weibull,Janoschek,Bridges).
主要成果:
- 确定Gompertz模型是最适合伊斯法罕土著生长曲线的.
- 对于到期权重 (A),初始权重 (B) 和到期率 (K) 的遗传概率估计分别为0.223,0.016和0.087.
结论:
- 伊斯法罕本土具有重要的生长和繁殖遗传潜力.
- 这些发现支持使用适当的遗传模型来提高家禽生产和管理.
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