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法国小麦病原菌枝孢菌抗药性的时空动态。

Spatiotemporal dynamics of fungicide resistance in the wheat pathogen Zymoseptoria tritici in France.

机构信息

UMR1290 BIOGER, INRA, AgroParisTech, Université Paris-Saclary, Thiverval-Grignon, France.

MaIAGE, INRA, Université Paris-Saclay, Jouy-en-Josas, France.

出版信息

Pest Manag Sci. 2019 Jul;75(7):1794-1807. doi: 10.1002/ps.5360. Epub 2019 Mar 18.

DOI:10.1002/ps.5360
PMID:30680908
Abstract

BACKGROUND

Management of pesticide resistance is a major issue in modern agricultural systems, particularly in the context of the broader challenge of reducing pesticide use. However, such management must be adapted to resistance dynamics, which remains challenging to predict due to its dependence on many biological traits of pests, interactions with the environment and pesticide use. We retrospectively studied the evolution of reported resistances to four modes of action (benzimidazoles, quinone outside inhibitors, sterol demethylation inhibitors and succinate dehydrogenase inhibitors), in French populations of the wheat pathogen Zymoseptoria tritici.

RESULTS

We used statistical models to analyse the Performance trial network data set (2004-2017; ∼ 70 locations in France yearly). They highlighted contrasting behaviours between phenotypes, for example: (i) stable spatial distributions and colonization front structures over time, and (ii) different frequency growth rates at the national scale and between regions.

CONCLUSION

We provide a quantitative description of the spatiotemporal patterns of resistance evolution for fungicides with several modes of action. Moreover, we highlight some unexpected resistance dynamics in France, with major differences between the north and south. This complex pattern of resistance evolution in French populations is consistent with previous descriptions of dynamics at the European scale. These results should make it easier to anticipate evolution locally and to improve the management of resistance. © 2019 Society of Chemical Industry.

摘要

背景

在现代农业系统中,管理农药抗性是一个主要问题,特别是在减少农药使用的更广泛挑战背景下。然而,这种管理必须适应抗性动态,由于其依赖于害虫的许多生物学特征、与环境的相互作用和农药使用,因此仍然难以预测。我们回顾性地研究了法国小麦病原菌叶枯病菌对四种作用模式(苯并咪唑类、醌外抑制剂、固醇去甲基化抑制剂和琥珀酸脱氢酶抑制剂)的报告抗性的演变。

结果

我们使用统计模型分析了性能试验网络数据集(2004-2017 年;法国每年约有 70 个地点)。它们突出了表型之间的对比行为,例如:(i)稳定的时空分布和随时间推移的定殖前沿结构,以及(ii)在国家尺度和地区之间的不同频率增长率。

结论

我们为具有多种作用模式的杀菌剂的抗性演变提供了时空模式的定量描述。此外,我们强调了法国的一些意想不到的抗性动态,北部和南部之间存在重大差异。法国种群中这种复杂的抗性演变模式与欧洲尺度上的动态描述一致。这些结果应该更容易在当地预测演变,并改善抗性管理。 © 2019 化学工业协会。

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