预测在限制性环境下玉米耕种发展可以实现,以增强生产者防御性管理决策工具
Rachel L Veenstra1, Trevor J Hefley2, Dan Berning3
1Department of Agronomy, Kansas State University, Manhattan, KS, United States.
Frontiers in plant science
|August 21, 2023
概括
使用温度和土壤营养素等环境和管理因素,可以预测玉米耕机密度. 这些发现可以帮助在可变气候条件下进行玉米生产的决策工具.
科学领域:
- 农业科学 农业科学
- 植物生理学 植物生理学
- 农业学是一种农业学.
背景情况:
- 现代玉米 (Zea mays L.) 具有可塑性,可以在变化的天气和田地条件下表达.
- 在限制性环境中扩大玉米生产需要了解作物可塑性.
- 在现场场景中预测玉米耕作机的发展尚未得到充分探索.
研究的目的:
- 确定主要的环境和管理因素,以预测玉米耕机密度动态.
- 评估特定因素的季外预测的准确性.
主要方法:
- 在堪萨斯州 (2019-2021) 进行了17个不同地点年的复制实地试验.
- 评估了两种现代玉米基因型在三个植物密度 (25,00060,000植物/公).
- 收集环境,现象学和形态学数据,使用通用添加模型进行分析.
主要成果:
- 植物密度与日渐增长的度日,光热系数,温度,蒸汽压力赤字,土壤酸盐和相互作用,以预测耕密度.
- 对许多因素观察到非限制性值.
- 蒸汽压力赤字和最高温度对生长速度和光合作用产生了最大影响,对植物密度表现出敏感性.
结论:
- 玉米耕作是一种可预测的可塑性机制,在具有挑战性的种植地区,它可能对决策工具有用.
- 模型对诊断有价值,但对预测有局限性.
- 整合模型与决策理论和风险评估对于脆弱的农业环境至关重要.
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