Owing to their evolutionary potential, plant pathogens are able to rapidly adapt to genetically controlled plant resistance, often resulting in resistance breakdown and major epidemics in agricultural crops. Various deployment strategies have been proposed to improve resistance management. Globally, these rely on careful selection of resistance sources and their combination at various spatiotemporal scales (e.g., via gene pyramiding, crop rotations and mixtures, landscape mosaics). However, testing and optimizing these strategies using controlled experiments at large spatiotemporal scales are logistically challenging. Mathematical models provide an alternative investigative tool, and many have been developed to explore resistance deployment strategies under various contexts. This review analyzes 69 modeling studies in light of specific model structures (e.g., demographic or demogenetic, spatial or not), underlying assumptions (e.g., whether preadapted pathogens are present before resistance deployment), and evaluation criteria (e.g., resistance durability, disease control, cost-effectiveness). It highlights major research findings and discusses challenges for future modeling efforts. Expected final online publication date for the Annual Review of Phytopathology, Volume 59 is August 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

中文翻译：

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植物抗性部署模型。

由于其进化潜能，植物病原体能够迅速适应基因控制的植物抗性，通常导致农作物中的抗性分解和主要流行病。已经提出了各种部署策略来改善抵抗管理。在全球范围内，这些依赖于仔细选择抗性源及其在各种时空尺度上的组合（例如，通过基因金字塔，作物轮作和混合物，景观镶嵌）。但是，在较大的时空范围内使用受控实验测试和优化这些策略在逻辑上存在挑战。数学模型提供了一种替代性的调查工具，并且已经开发出许多模型来探索在各种情况下的阻力部署策略。这篇综述根据特定的模型结构（例如，人口统计学或后代遗传学，空间学与否），基本假设（例如，在耐药性部署之前是否存在预先适应的病原体）和评估标准（例如，耐药性持久性，疾病控制）分析了69个建模研究， 成本效益）。它重点介绍了主要研究结果，并讨论了未来建模工作所面临的挑战。《植物病理学年度回顾》的预期最终最终在线发布日期是2021年8月。请参阅http://www.annualreviews.org/page/journal/pubdates以获取修订的估算值。它重点介绍了主要研究结果，并讨论了未来建模工作所面临的挑战。《植物病理学年度回顾》的预期最终最终在线发布日期是2021年8月。请参阅http://www.annualreviews.org/page/journal/pubdates以获取修订的估算值。它重点介绍了主要研究结果，并讨论了未来建模工作所面临的挑战。《植物病理学年度回顾》的预期最终最终在线发布日期是2021年8月。请参阅http://www.annualreviews.org/page/journal/pubdates以获取修订的估算值。