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多变量分析用于识别耐旱大麦 (Hordeum vulgare L.) 基因型,使用压力指数
Nadira Mokarroma1, Md Romij Uddin2, Imrul Mosaddek Ahmed1
1Plant Physiology Division, Bangladesh Agricultural Research Institute, Gazipur, 1701, Bangladesh.
Data in brief
|March 31, 2025
概括
识别抗旱大麦基因型对于全球生产至关重要. 多特征基因型意识形态距离指数 (MGIDI) 有效地选择了BD7194作为最耐受的,显示出高遗传稳定性和选择性收益.
科学领域:
- 农业科学 农业科学
- 植物育种 植物育种
- 遗传学 遗传学 是一个
背景情况:
- 干旱压力对全球大麦产量产生重大影响,特别是在皇冠根启动期间.
- 识别抗旱大麦基因型对于维持全球粮食安全至关重要.
研究的目的:
- 在最佳和干旱压力条件下评估50种大麦基因型的谷物产量和遗传变异.
- 通过多特征基因型意识形态距离指数 (MGIDI) 识别耐旱大麦基因型.
主要方法:
- 在50种大麦基因型中评估了谷物产量和应力耐受性指数.
- 应用多特征基因型观念型距离指数 (MGIDI) 进行基因型选择.
- 分析了遗传变异,相关性,遗传性,选择收益和选择差异.
主要成果:
- 基因型BD7194在干旱压力下产量最高 (7.31g/植物),并被选择为使用MGIDI的最耐干旱的基因型.
- 在压力耐受性指数和产量之间发现了显著的相关性 (0.66-1.00).
- 选择的基因型显示出高选择性收益 (39.9%-113%) 和广义遗传性 (≥0.99).
结论:
- MGIDI指数是选择耐旱大麦基因型的强大工具.
- 基因型BD7194表现出优越的干旱抗性和遗传稳定性.
- 该研究强调了显著的遗传变异和改善大麦干旱耐受性的潜力.
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