优化棉花白的控制策略Bemisia tabaci:从基于个体的建模的见解
Andre Gergs1, Angelika Weinhold1, Elena Hettmann1
1Bayer AG, Alfred-Nobel Strasse 50, 40789 Monheim, Germany.
Environmental science & technology
|January 20, 2026
概括
对白 (Bemisia tabaci) 的有效管理需要精确的杀虫剂应用时间. 综合毒动力学-毒动力学 (TKTD) 和基于个体的模型 (IBM) 优化了控制策略,提高了农业生产力.
科学领域:
- 农业昆虫学 农业昆虫学
- 病虫害管理科学 病虫害管理科学
- 生态建模 生态建模
背景情况:
- 白 (Bemisia tabaci) 对全球农业构成重大威胁,导致作物受损并传播病毒.
- 现有的害虫防治策略往往缺乏精确的应用时间,导致有效性降低.
- 了解农药对不同生命阶段的毒理影响对于有效控制至关重要.
研究的目的:
- 为Bemisia tabaci.开发和参数化一个基于理论的动态能源预算毒动力学-毒动力学 (TKTD) 模型.
- 将TKTD模型与基于个体的模型 (IBM) 集成,用于预测人口动态和农药有效性.
- 确定最佳的spidoxamat应用策略,以在各种现场条件下管理白种群.
主要方法:
- 开发和参数化一个TKTD模型,评估白死亡率和生殖效应.
- 将TKTD模型集成到IBM中,以模拟人口动态和农药有效性.
- 使用印度,巴基斯坦和巴西的实地试验数据验证综合模型.
主要成果:
- 综合的TKTD-IBM模型准确地预测了白种群动态和spidoxamat疗效.
- 确定了增强人群控制的最佳应用时间,特别是初始治疗后7-14天的第二次应用.
- 应用时间的有效性受到环境温度,人群结构,有效性半衰期和未成熟阶段持续时间的影响.
结论:
- 将经验数据与机械模型相结合,为了解农药对Bemisia tabaci的影响提供了一个强大的框架.
- 精确的,数据驱动的应用策略对于有效的白管理和可持续农业至关重要.
- 开发的模型为优化害虫控制干预和减轻农业损失提供了有价值的工具.
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