超杂交大米在不同生态区域的温度驱动的产量变化:通过管理和基因型选择进行缓解
Jianwu Li1,2, Xinzhen Zhang1, Zhiqiang Guo1
1College of Agronomy, Hunan Agricultural University, Changsha, 410128, China.
Scientific reports
|February 7, 2026
概括
优化 (N) 管理和选择合适的超杂交大米 (SHR) 品种可以减轻高温造成的产量损失. 根据当地的热条件调整N速率可以提高SHR的生产力和稳定性.
科学领域:
- 农业学是一种农业学.
- 植物生理学 植物生理学
- 农作物科学 农作物科学
背景情况:
- 提高超级杂交大米 (SHR) 的生产率对于全球粮食安全至关重要.
- 在农业生态系统中,空间产量变化和SHR的潜在机制需要进一步研究.
研究的目的:
- 评估热制, (N) 管理和基因型对SHR产量的综合影响.
- 确定导致产量差异的关键因素,并探索减轻温度诱导损失的策略.
主要方法:
- 在两个不同的生态区域 (长和长沙) 进行了两年 (2021-2022) 的实地实验.
- 三种SHR品种 (Liangyoupeijiu,Y-liangyou-1,Y-liangyou-900) 在四个N率 (0,150,240,330公斤/ha-1) 下种植.
- 用部分最小平方路径建模收集和分析了产量,产量组件和生理特征的数据.
主要成果:
- 与长沙相比,龙的谷物产量明显高于长沙,这是由于关键生长阶段的温度更有利.
- 长沙的高温降低了关键的产量组件,如每子的尖子和种子设置率.
- 较高的量 (240和330公斤/ha-1) 通过增强生长和产量特征,有效地减少了地点间的产量差异.
- 培养器YLY900表现出最高的产量,而YLY1表现出优越的跨站稳定性.
结论:
- 农作物生长率,总干重量和种植率是产量变化的关键介导因素.
- 战略性N应用,与基因型选择和当地热条件保持一致,可以最大限度地减少SHR中的温度驱动的产量减少.
- 优化管理实践对于提高各种农业生态系统中SHR生产力和稳定性至关重要.
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