一个统计包,用于通过基因组选择在植物育种中评估杂交性能
Szu-Ping Chen1, Chih-Wei Tung1, Pei-Hsien Wang1
1Department of Agronomy, National Taiwan University, Taipei, Taiwan.
Scientific reports
|July 27, 2023
概括
基因组选择 (GS) 通过识别优越的亲系和杂交组合,有助于杂交繁殖. 一个R包,EHPGS,通过使用基因组估计的繁殖值来评估混合性能来促进这一点.
科学领域:
- 植物育种 植物育种
- 基因组学就是基因组学.
- 定量遗传学 是一个量子遗传学.
背景情况:
- 混合育种利用异构来提高作物产量和质量.
- 基因组选择 (GS) 是在植物育种中选择定量特征的强大工具.
- 确定最佳的亲系和杂交组合对于高效的育种计划至关重要.
研究的目的:
- 提出一种基于GS的方法来识别来自半代列群的优越亲系和杂交组合.
- 开发一个R包 (EHPGS) 来实施拟议的GS方法.
- 通过基因组估计的繁殖值 (GEBVs) 和相关指标来评估混合性能.
主要方法:
- 使用贝叶斯统计算法开发EHPGS R包.
- 实现基因组最佳线性无偏模型 (GBLUP) 具有添加和主导标记效应.
- 该软件包用于分析,玉米和小麦的已公布数据集.
主要成果:
- 该EHPGS套件可以计算GEBV,特定和一般组合能力以及异质化指标.
- 该方法有效地识别了潜在的亲系和优异的杂交组合.
- 成功地对各种作物数据集进行了重新分析,证明了该软件包的实用性.
结论:
- 开发的GS方法和EHPGS包为加速杂交育种提供了有价值的工具.
- 这种方法提高了混合性能的预测,并促进了精英育种材料的选择.
- 在开发改进的作物品种方面,EHPGS支持数据驱动的决策.
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