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农作物对浸水的敏感性由土壤温度和生长阶段介导
Fu-Li Xu1, Pei-Min Hu2, Xiao Wan1
1College of Agriculture, Yangtze University, Jingzhou, China.
Frontiers in plant science
|November 15, 2023
概括
考虑作物生长阶段和土壤温度的浸水严重程度指数,如WI Plus,最好预测收益率损失. 这种先进的指数有助于可扩展的作物浸水监测和预测.
科学领域:
- 农业科学 农业科学
- 环境科学 环境科学
- 植物生理学作物生理学
背景情况:
- 浸水严重限制了全球作物生产,但其关键驱动因素仍未得到充分研究.
- 准确评估浸水影响对于减轻产量损失至关重要.
研究的目的:
- 将现有的浸水指数 (WIDestiny,WIASD1,WIASD2) 与包含作物生长阶段和土壤温度的新指数 (WIGrowth,WIPlus) 进行比较.
- 评估这些指数在浸水条件下对作物产量的预测能力.
主要方法:
- 使用SWAGMAN Destiny和CERES模型模拟土壤通风指数.
- 开发和应用浸水严重性指数 (WI增长,WIPlus).
- 用小麦基因型"阳梅11号"和"梅7698号"进行子实验,经过单次和双次浸水事件.
主要成果:
- WIPlus指数显示出与收益率下降的相关性最高 (-0.82至-0.86).
- 将土壤温度和作物生长阶段整合到浸水指数中,可以显著改善产量惩罚预测.
- WIPlus提供了对水浸耐受性的生理决定因素的见解.
结论:
- 包含温度和生长阶段的浸水指数,如WIPlus,在预测产量损失方面是优越的.
- WIPlus适用于遥感应用,使作物浸水的可扩展监测和预测成为可能.
- 这项研究为改善农业中水淹水管理策略提供了基础.
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