杂交菜种子育种的现象选择.
Lennard Roscher-Ehrig1, Sven E Weber1, Amine Abbadi2
1Department of Plant Breeding, Justus Liebig University, Giessen, Germany.
Plant phenomics (Washington, D.C.)
|July 25, 2024
概括
使用来自父系的光谱数据的现象选择有效地预测了杂交大麻的特征. 这种方法与基因组选择具有竞争力,并且易于集成到育种计划中.
科学领域:
- 农业科学 农业科学
- 植物育种 植物育种
- 频谱学是一种光谱学.
背景情况:
- 基因组选择 (GS) 是植物育种中的标准工具.
- 现象选择 (PS) 提供了使用光谱数据的低成本,高通量替代方案.
- 在使用父母数据的混合世代中预测PS特征的有效性在很大程度上尚未被探索.
研究的目的:
- 评估现象选择在杂交菜种子育种中的潜力.
- 评估父母基因型的光谱数据是否可以预测杂交后代的特征.
- 在混合繁殖的背景下,将PS与GS进行比较.
主要方法:
- 近红外光谱 (NIRS) 数据从父系和410个测试杂交体中收集.
- 用线性和非线性模型来预测种子产量和植物高度等特征的光谱数据.
- 预测是在混合世代内和跨世代 (父母到混合) 进行的.
主要成果:
- 混合世代中的现象选择超过了种子产量和植物高度的基因组选择.
- 即使使用来自单个位置的光谱数据,PS的表现也很强大,并且受人口结构的影响较小.
- 跨世代的现象预测被证明是可行的,父母的光谱数据提供了与GS相比具有竞争力的预测准确性.
结论:
- 现象选择是一种可行的,有前途的策略,用于杂交菜种子的繁殖.
- 利用父母系的光谱数据用于混合体中的现象预测是有效的,并且与基因组选择具有竞争力.
- 通过利用常规收集的NIRS数据,PS可以无地集成到菜种子育种计划中,而无需额外的成本.
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