气候智能大米 (Oryza sativa L.) 基因型识别使用稳定性分析,多特征选择指数和基因型与环境相互作用在不同的灌制度下,适应全球变暖
Muhammad Ashraful Habib1,2, Mohammad Golam Azam3, Md Ashraful Haque1
1Department of Genetics and Plant Breeding, Faculty of Agriculture, Bangladesh Agricultural University, Mymensingh, 2202, Bangladesh.
Scientific reports
|June 15, 2024
概括
气候变化影响了水产量,但交替灌和干燥 (AWD) 灌显著提高了谷物产量,而不是持续洪水 (CF). 这项研究确定了稳定的大米基因型,用于适应水资源短缺的育种计划.
科学领域:
- 农业科学 农业科学
- 农业学是一种农业学.
- 植物育种 植物育种
背景情况:
- 气候变化加剧了全球的水资源短缺,影响了灌,增加了工业部门的需求.
- 评估未来的水基因型需要在多环境试验中评估稳定性和基因型与环境的相互作用.
- 水资源的污染和变化对农业生产率构成重大挑战.
研究的目的:
- 评估在9个环境中在连续洪水 (CF) 和交替湿干 (AWD) 灌下五种大米基因型的产量性能和稳定性.
- 确定能够适应各种环境条件和灌策略的优质大米基因型.
- 为植物育种者提供选择和开发适应气候变化的米品种的见解.
主要方法:
- 在九个不同的地点采用了三次复制的分割图案设计.
- 在CF和AWD灌系统下评估了五种大米基因型.
- 用AMMI (修改媒介和相互作用的分析) 和GGE (基因型主要效应+基因型x环境相互作用) 的双图分析了产量稳定性和适应性.
主要成果:
- 观察到显著的基因型与环境相互作用,表明对不同条件的基因型反应不同.
- BRRI dhan29 (G3) 的谷物产量最高,而Binadhan-8 (G2) 的谷物产量最低.
- 与CF灌相比,所有基因型在AWD下表现更好,突出了AWD的节水潜力.
结论:
- 替代湿和干燥 (AWD) 是一个有前途的节水适应策略,用于大米种植,保持高产量和减轻温室气体排放.
- AMMI模型有效地评估多种环境中的品种表现,有助于选择稳定的基因型.
- 这些发现支持分别为AWD和CF系统的BRRI dhan47和BRRI dhan29,指导未来的气候适应性育种计划.
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