ArticleEvolutionary applications2018
Spatio-temporal connectivity and host resistance influence evolutionary and epidemiological dynamics of the canola pathogen
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 8 papers.
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Who cites it
8 citing papers in PubMed.
- Experimental dissection of phenotypic variation for quantitative disease resistance in canola (Brassica napus) - Leptosphaeria maculans interactions.Pest management science · 2026Article
- Integrated Management Strategies for Blackleg Disease of Canola Amidst Climate Change Challenges.Journal of fungi (Basel, Switzerland) · 2025Review
- The proportion of resistant hosts in mixtures should be biased towards the resistance with the lowest breaking cost.PLoS computational biology · 2023Article
- Host mixtures for plant disease control: Benefits from pathogen selection and immune priming.Evolutionary applications · 2022Article
- Rotating and stacking genes can improve crop resistance durability while potentially selecting highly virulent pathogen strains.Scientific reports · 2020Article
- A Landscape of Opportunities for Microbial Ecology Research.Frontiers in microbiology · 2020Review
- Determination of the Key Resistance Gene Analogs Involved inFrontiers in plant science · 2019Article
- Spatio-temporal connectivity and host resistance influence evolutionary and epidemiological dynamics of the canola pathogenEvolutionary applications · 2018Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genetic, physiological and physical homogenization of agricultural landscapes creates ideal environments for plant pathogens to proliferate and rapidly evolve. Thus, a critical challenge in plant pathology and epidemiology is to design durable and effective strategies to protect cropping systems from damage caused by pathogens. Theoretical studies suggest that spatio-temporal variation in the diversity and distribution of resistant hosts across agricultural landscapes may have strong effects on the epidemiology and evolutionary potential of crop pathogens. However, we lack empirical tests of spatio-temporal deployment of host resistance to pathogens can be best used to manage disease epidemics and disrupt pathogen evolutionary dynamics in real-world systems. In a field experiment, we simulated how differences in
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Registered trials
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