贝叶斯基因估计 针对优化选择策略,以提高白色雷戈恩的卵产量
Aneet Kour1, R N Chatterjee1, K S Rajaravindra1
1ICAR-Directorate of Poultry Research, Hyderabad, Telangana, India.
概括
在白色雷霍恩中进行密集的卵子生产选择减少了遗传变异性. 考虑卵子重量和体重的多特征评估可以提高选择准确度,以提高卵产量,即使添加剂遗传性低.
科学领域:
- 动物遗传学动物遗传学
- 量化遗传学 量化遗传学
- 养殖家禽 养殖家禽的养殖
背景情况:
- 长期的定向选择可以耗尽对所需特征的附加遗传变异性.
- 定期评估遗传参数对于有效的育种计划至关重要.
研究的目的:
- 为了基因评估一个白色莱戈恩菌株 (IWI) 强烈选择卵数.
- 使用多种模型估计卵生产的遗传参数和相关特征.
主要方法:
- 利用了六个贝叶斯模型,用于基因参数估计,具有不同的随机效应.
- 估计的基因参数产卵生产72周,蛋重量,生殖和体重特征.
- 员工偏差信息标准 (DIC) 用于模型比较.
主要成果:
- 模型6最适合早期生产特征 (EP24),模型3适合中期生产 (EP32,EP40) 和模型1适合后期生产 (EP52,EP64,EP72).
- 随着产卵周期的进展,卵子生产的附加遗传性下降,对于后来的特征变得非常低.
- 在后来的卵子生产特征和卵子体重/体重之间发现了高度负面的遗传相关性.
结论:
- 综合卵子重量和体重的多特征评估显著提高了对后来的卵子生产特征的直接添加物遗传性估计的准确性.
- 尽管添加基因变异性较低,但多特征分析为选择白色雷戈恩养增加卵产提供了更有效的策略.
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