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A knowledge-based approach to designing control strategies for agricultural pests

机译:基于知识的制定农业害虫控制策略的方法

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Chemical control of insect pests remains vital to agricultural productivity, but limited mechanistic understanding of the interactions between crop, pest and chemical control agent have restricted our capacity to respond to challenges such as the emergence of resistance and demands for tighter environmental regulation. Formulating effective control strategies that integrate chemical and non-chemical management for soil-dwelling pests is particularly problematic owing to the complexity of the soil-root-pest system and the variability that occurs between sites and between seasons. Here, we present a new concept, termed COMPASS, that integrates ecological knowledge on pest development and behaviour together with crop physiology and mechanistic understanding of chemical distribution and toxic action within the rhizosphere. The concept is tested using a two-dimensional systems model (COMPASS-Rootworm) that simulates root damage in maize from the corn rootworm Diabrotica spp. We evaluate COMPASS-Rootworm using 119 field trials that investigated the efficacy of insecticidal products and placement strategies at four sites in the USA over a period of ten years. Simulated root damage is consistent with measurements for 109 field trials. Moreover, we disentangle factors influencing root damage and pest control, including pest pressure, weather, insecticide distribution, and temporality between the emergence of crop roots and pests. The model can inform integrated pest management, optimize pest control strategies to reduce environmental burdens from pesticides, and improve the efficiency of insecticide development.
机译:昆虫的化学控制对农业生产力仍然至关重要,但机械理解对作物,害虫和化学对照剂之间的相互作用限制了我们对抗抵抗抗性等挑战的能力,因此对抗性的挑战以及更严格的环境监管的需求的影响。由于土根害虫系统的复杂性以及位点之间的变异性和季节之间发生的变异性,制定了整合土壤住宅的化学和非化学管理的有效控制策略尤其有问题。在这里,我们展示了一个新的概念,被指南针,将生态知识与生物发育和行为相结合在一起,以及根际的化学分布和毒性作用的作物生理学和机械理解。使用二维系统模型(Compass-Roontworm)测试该概念,该概念模拟来自玉米根虫Diafrotica SPP的玉米的根损伤。我们使用119个田间试验评估指南针,该试验研究了杀虫产品和放置策略在十年内的四个地点的疗效。模拟的根损伤与109个现场试验的测量一致。此外,我们解开了影响根系损伤和害虫控制的因素,包括害虫压力,天气,杀虫剂分布以及作物根源和害虫的出现之间的暂时性。该模型可通知综合虫害管理,优化害虫控制策略,以减少农药的环境负担,提高杀虫发育的效率。

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