在日本大米中基因组选择盐度耐受性
Jérôme Bartholomé1,2,3, Julien Frouin2,4, Laurent Brottier2,4
1UMR AGAP Institut, CIRAD, Cali, Colombia.
PloS one
|September 27, 2023
概括
基因组选择有效地预测了大米育种线的盐应激耐受性,改善了在盐水环境中种植作物的策略. 这种方法提高了选择的准确性,并缩短了育种周期,以提高植物的表现.
科学领域:
- 植物育种 植物育种
- 遗传学 是一个遗传学.
- 农业学是一种农业学.
背景情况:
- 在盐水条件下提高作物表现对于全球粮食安全至关重要.
- 基因组选择 (GS) 是一种强大的工具,可以提高选择的准确性,减少繁殖周期的长度.
- 了解基因型与环境之间的相互作用是开发耐盐品种的关键.
研究的目的:
- 为了评估基因组选择对预测大米盐应激耐受性的效率.
- 评估GS模型在不同特征和条件上的预测能力.
- 使用独立的繁殖群体验证GS模型性能.
主要方法:
- 一个大米参考小组 (241次加入) 通过对20,255个SNP进行基因型定型,并根据形态特征和控制的离子含量和轻度盐度进行表型定型.
- 基因组预测模型是使用参考小组内的交叉验证来开发的.
- 模型的性能在一个独立的繁殖群体上得到了验证 (393次加入).
主要成果:
- 对于大多数特征,观察到基因型对条件的相互作用.
- 多环境模型的预测能力在形态特征的0.250.64和应激反应指数的0.050.40之间.
- 对繁殖群体的验证显示了从0.000.66的预测能力,与交叉验证结果有很强的相关性 (r = 0.69).
结论:
- 基因组选择在预测大米育种系中盐应激耐受性方面非常有效.
- GS可以显著提高针对容易化的环境的育种计划的效率.
- 这种方法有助于开发更有弹性的品种.
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