ArticleEvolutionary applications2018
Differential impact of landscape-scale strategies for crop cultivar deployment on disease dynamics, resistance durability and long-term evolutionary control.
Article in Evolutionary applications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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17 citing papers in PubMed.
- Monitoring fungicide resistance frequencies - a case study of barley net blotch.Pest management science · 2026Article
- Quantitative Resistance Deployment Can Strengthen Epidemics in Perennial Plants by Selecting Maladapted Pathogen Strains.Evolutionary applications · 2025Article
- Evolution of Thermal Plasticity inEcology and evolution · 2025Article
- Breeding for durable resistance against biotrophic fungal pathogens using transgenes from wheat.Molecular breeding : new strategies in plant improvement · 2024Article
- Effects of pathogen reproduction system on the evolutionary and epidemiological control provided by deployment strategies for two major resistance genes in agricultural landscapes.Evolutionary applications · 2024Article
- Population Genomic Evidence for a Repeated Introduction and Rapid Expansion of the Fungal Maize Pathogen Setosphaeria turcica in Europe.Genome biology and evolution · 2023Article
- Understanding the effect of component proportions on disease control in two-component cultivar cereal mixtures using a pathogen dispersal scaling hypothesis.Scientific reports · 2023Article
- Importance of interindividual interactions in eco-evolutionary population dynamics: The rise of demo-genetic agent-based models.Evolutionary applications · 2022Article
- Delaying quantitative resistance to pesticides and antibiotics.Evolutionary applications · 2022Article
- Tritrophic defenses as a central pivot of low-emission, pest-suppressive farming systems.Current opinion in environmental sustainability · 2022Review
- An epi-evolutionary model for predicting the adaptation of spore-producing pathogens to quantitative resistance in heterogeneous environments.Evolutionary applications · 2022Article
- Evolution of morphological but not aggressiveness-related traits following a major resistance breakdown in the poplar rust fungus,Evolutionary applications · 2021Article
- Rotating and stacking genes can improve crop resistance durability while potentially selecting highly virulent pathogen strains.Scientific reports · 2020Article
- Multi-seasonal modelling of plant-nematode interactions reveals efficient plant resistance deployment strategies.Evolutionary applications · 2020Article
- Mosaics, mixtures, rotations or pyramiding: What is the optimal strategy to deploy major gene resistance?Evolutionary applications · 2018Article
- Differential impact of landscape-scale strategies for crop cultivar deployment on disease dynamics, resistance durability and long-term evolutionary control.Evolutionary applications · 2018Article
- Assessing the durability and efficiency of landscape-based strategies to deploy plant resistance to pathogens.PLoS computational biology · 2018Article
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5 authors.
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Abstract
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.
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