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

• Published in: Pest management science Vol. 75; no. 7; pp. 1794 - 1807
• Main Authors: Garnault, Maxime, Duplaix, Clémentine, Leroux, Pierre, Couleaud, Gilles, Carpentier, Florence, David, Olivier, Walker, Anne‐Sophie
• Format: Journal Article
• Language: English
• Published: Chichester, UK John Wiley & Sons, Ltd 01.07.2019; Wiley Subscription Services, Inc; Wiley
• Subjects: Agricultural management; Agrochemicals; Ascomycota - drug effects; Ascomycota - genetics; Ascomycota - metabolism; Benzimidazoles; Biological Evolution; Colonization; Demethylation; Dependence; DMIs; Drug Resistance, Fungal - genetics; Dynamics; Evolution; France; fungicide resistance dynamics; Fungicides; Fungicides, Industrial - pharmacology; Growth rate; Inhibitors; Life Sciences; Mathematical models; Mycosphaerella graminicola; Organic chemistry; Pathogens; Pesticide resistance; Pesticide use reduction; Pesticides; Pests; Phenotypes; Plant Diseases - microbiology; Populations; QoIs; Quinones; Retrospective Studies; SDHIs; Septoria leaf blotch; Spatial distribution; Spatio-Temporal Analysis; spatiotemporal dynamics; Statistical analysis; Statistical models; Succinate dehydrogenase; Triticum - microbiology; Wheat; Zymoseptoria tritici; France; SDHIs; Septoria leaf blotch; DMIs; Mycosphaerella graminicola; fungicide resistance dynamics; QoIs; spatiotemporal dynamics
• ISSN: 1526-498X; 1526-4998
• DOI: 10.1002/ps.5360

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 Growth rates of resistance evolution estimated for four modes of action. DMI resistance is spatially heterogeneous. Models may be used for fungicide resistance prediction.