优化基于BLUP或BLUE的选择,在多组基因型中优化选择,这些基因型在它们的种群参数上有所不同.
Albrecht E Melchinger1,2, Rohan Fernando3, Andreas J Melchinger4
1Plant Breeding, TUM School of Life Sciences, Technical University of Munich, 85354, Freising, Germany. albrechtmelchinger@gmail.com.
概括
在植物育种中优化选择反应需要仔细考虑候选比例和种群参数. 使用最佳线性无偏预测器 (BLUP) 的统一值,可以最大限度地提高不同基因组的选择反应.
科学领域:
- 定量遗传学 是一种定量遗传学.
- 植物育种 植物育种
- 基因组选择 基因组选择
背景情况:
- 植物育种计划通常利用来自不同种群的多个家族.
- 这些种群可以在基因参数上有所不同,例如平均值,差异和预测准确度.
- 传统的选择方法需要适应复杂的多种群情景.
研究的目的:
- 为了将断选择的育种方程扩展到多组基因型.
- 调查选择后比例对整体选择反应的影响.
- 确定不同预测方法 (BLUP和BLUE) 的最佳选择值策略.
主要方法:
- 经典育种方程的数学延伸.
- 在多个基因型集的截断选择下对选择反应的分析.
- 对候选产地和比例在选择前和之后的公式的推导.
主要成果:
- 选择响应取决于内设响应和选择后的比例.
- 统一的值最大限度地提高了所有集合中最佳线性无偏预测器 (BLUP) 的选择响应.
- 最好的线性无偏估计器 (BLUE) 的最佳值是特定于集合的,并取决于种群参数.
结论:
- 选择后的比例可能与初始比例有很大差异,特别是在较低级别的集合中.
- 结果为基因组选择中的培训和预测集的资源分配提供了信息.
- 在母系中,战略选择比例可以在种群变异或精度不同时增强杂交育种.
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