在多环境试验中,对选定麦基因型的种子产量和稳定性表现进行AMMI和GGE双图分析
Raghav Sood1, Gopal Katna2, Manoj Negi2
1ICAR - National Bureau of Plant Genetic Resources, Regional Station, Shimla, 171004, India.
Scientific reports
|October 22, 2025
概括
麦基因型IC109729和Sangla B-129在各种环境中显示出高产量和稳定性. 这项研究有助于开发适应性麦品种,以在具有挑战性的地区实现可持续农业.
科学领域:
- 农业科学 农业科学
- 植物育种 植物育种
- 可持续农业 可持续农业
背景情况:
- 麦是一种未充分利用的,营养丰富的作物,具有可持续农业的巨大潜力.
- 它的种植在面临挑战性的农业气候条件的地区尤其有前途.
- 了解基因型的性能和稳定性对于最大限度地发挥其潜力至关重要.
研究的目的:
- 评估20种麦基因型的产量性能和稳定性.
- 用统计模型评估基因型在不同环境中的适应性.
- 为了确定麦繁殖计划的优越基因型和理想的测试环境.
主要方法:
- 在两个地点进行了多环境试验,持续了三年 (2022-2024年).
- 使用了添加主效应和倍增相互作用 (AMMI) 分析.
- 基因型加基因型通过环境相互作用 (GGE) 双图分析进行.
主要成果:
- 对所有测量的特征观察到显著的基因型 ×环境 (G × E) 相互作用.
- 基因型IC109729 (3.80g/植物) 和Sangla B-129 (2.86g/植物) 呈现出最高的产量和稳定性.
- 2023年的Shimla和2023年的Sangla被确定为最具歧视性和代表性的环境.
结论:
- 环境评估和基因型选择对于麦繁殖的成功至关重要.
- 确定了稳定和高产的基因型,可以提高麦的生产力.
- 研究结果为开发适应性麦品种的边缘和具有挑战性的农业地区提供了洞察力.
关键词:
艾米米 (AMMIMI) 是一个适应能力 适应能力双图可视化的可视化麦 麦 是一种麦.适应气候变化的农作物在GGE的双地图上,GGE的双地图.基因型 × 环境相互作用.潜在的作物种类稳定性分析是一种稳定性分析.更多相关视频
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