使用现象选择来预测混合值,使用在父线上测量的NIR光谱:对玉米的概念证明
Renaud Rincent1, Junita Solin2, Alizarine Lorenzi3
1Université Paris-Saclay, INRAE, CNRS, AgroParisTech, GQE - Le Moulon, 91190, Gif-sur-Yvette, France. renaud.rincent@inrae.fr.
概括
使用近红外 (NIR) 光谱的现象选择提供了一种具有成本效益的方法来预测杂交在育种中的性能. 这种方法降低了与基因型定型相关的成本,加速了混合发育中的遗传进步.
科学领域:
- 植物育种和遗传学
- 农业科学 农业科学
- 光谱学的应用.
背景情况:
- 基因组选择 (GS) 通过预测没有混合生产的遗传值来加速混合繁殖.
- 高的基因型化成本限制了GS在大型育种计划中的采用.
研究的目的:
- 评估现象选择 (PS) 使用NIR光谱作为GS的经济有效替代品.
- 评估PS对玉米杂交品种的一般组合能力 (GCA) 和特定组合能力 (SCA) 的预测能力.
主要方法:
- 应用标准预测模型,使用基因型数据 (GS) 和NIR光谱数据 (PS) 的相似度矩阵.
- 利用稀疏的因数设计与多环境试验数据用于混合表型.
- 在两个独立的环境中从父系获得NIR频谱.
主要成果:
- 基因组和现象预测方法都显示了中等至高的预测能力.
- 现象选择有效地预测了孟德尔抽样.
- 基于NIR的现象选择证明了其在预测玉米杂交性能方面的能力.
结论:
- 使用NIR光谱的现象选择是一种可行的,具有成本效益的混合繁殖策略.
- 这种方法可以显著减少繁殖周期的长度,并增加遗传收益.
- PS 促进了混合性能的早期预测,有利于主要和孤儿作物物种.
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