优化所需增益指数以最大限度地提高选择响应
Reem Joukhadar1, Yongjun Li1, Rebecca Thistlethwaite2
1Agriculture Victoria, Centre for AgriBioscience, AgriBio, Bundoora, VIC, Australia.
Frontiers in plant science
|July 9, 2024
概括
这项研究引入了一种代的所需增益选择指数,以改善多种植物特征,甚至在没有经济权重的情况下优化选择反应. 这种新方法通过最大限度地提高选择反应和引导遗传价值向所需方向来提高育种效率.
科学领域:
- 植物育种 植物育种
- 定量遗传学 是一种定量遗传学.
- 基因组选择 基因组选择
背景情况:
- 在植物育种中,同时改善多个特征至关重要.
- 想要的增益选择指数提供了一种方法,可以在没有经济权重的情况下优先考虑特征改进.
- 传统的索引可能无法最大限度地提高选择反应或与遗传价值保持最佳相关性.
研究的目的:
- 开发一种代的所需增益选择指数方法.
- 优化对多个特征的选择响应,使用用户指定的约束.
- 为了最大限度地提高选择反应,并改善与净遗传价值的相关性.
主要方法:
- 为所需增益选择指数开发了一种代方法.
- 针对目标或用户指定的选择响应,优化所需增益值.
- 将该方法应用于面包小麦七种特征的基因组估计育种值 (GEBV).
主要成果:
- 在小麦的七个特征中实现了0.29和0.47之间的预测准确度.
- 代方法在限制特征时匹配了用户指定的响应.
- 无约束的代指数最大限度地提高了选择响应,并将GEBV转向所需的方向,优于传统方法.
结论:
- 代期望收益选择指数在经济权重未知时有效.
- 这种方法为植物育种提供了最佳的方法,特别是当限制选择反应是不可行的时.
- 它增强了最大限度地提高选择反应的能力,并实现有针对性的遗传改进.
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