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Differential impact of landscape‐scale strategies for crop cultivar deployment on disease dynamics, resistance durability and long‐term evolutionary control

机译:景观尺度策略对作物品种的部署对疾病动态,抗性持久性和长期进化控制的不同影响

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A multitude of resistance deployment strategies have been proposed to tackle the evolutionary potential of pathogens to overcome plant resistance. In particular, many landscape‐based strategies rely on the deployment of resistant and susceptible cultivars in an agricultural landscape as a mosaic. However, the design of such strategies is not easy as strategies targeting epidemiological or evolutionary outcomes may not be the same. Using a stochastic spatially explicit model, we studied the impact of landscape organization (as defined by the proportion of fields cultivated with a resistant cultivar and their spatial aggregation) and key pathogen life‐history traits on three measures of disease control. Our results show that short‐term epidemiological dynamics are optimized when landscapes are planted with a high proportion of the resistant cultivar in low aggregation. Importantly, the exact opposite situation is optimal for resistance durability. Finally, well‐mixed landscapes (balanced proportions with low aggregation) are optimal for long‐term evolutionary equilibrium (defined here as the level of long‐term pathogen adaptation). This work offers a perspective on the potential for contrasting effects of landscape organization on different goals of disease management and highlights the role of pathogen life history.
机译:已经提出了许多抗性部署策略来解决病原体克服植物抗性的进化潜力。特别是,许多基于景观的策略都依赖于在农业景观中以抗性和易感品种作为马赛克的部署。但是,设计此类策略并不容易,因为针对流行病学或进化结果的策略可能并不相同。使用随机的空间显性模型,我们研究了景观组织(由抗性品种栽培的土地比例及其空间聚集定义)和关键病原体生活史特征对疾病控制的三种措施的影响。我们的结果表明,当种植具有高比例抗病品种且低聚集度的景观时,短期流行病学动态得以优化。重要的是,正好相反的情况对于电阻耐久性是最佳的。最后,充分混合的景观(具有低聚集度的平衡比例)对于长期进化平衡(此处定义为长期病原体适应水平)是最佳的。这项工作为景观组织在疾病管理的不同目标上形成对比效果提供了可能,并突出了病原体生命史的作用。

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