Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewed

The proportion of resistant hosts in mixtures should be biased towards the resistance with the lowest breaking cost

Pauline Clin, Frédéric Grognard, Didier Andrivon, Ludovic Mailleret, Frédéric Hamelin

PLoS Computational Biology · 2023

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Summary

This computational study demonstrates that host mixtures combining two resistant plant varieties should employ biased rather than equal proportions to minimise disease prevalence, with the optimal ratio containing a lower proportion of the resistance most costly for the pathogen to overcome. The finding is counterintuitive but robust: the benefit is amplified when priming-induced cross-protection occurs among plants exposed to non-infective pathogen genotypes. The strategy also reduces the risk of pathogen populations evolving to break all resistances present in the mixture.

UK applicability

The modelling framework and strategic principles are applicable to UK crop protection contexts where host mixtures are promoted as sustainable alternatives to monocultures, particularly for disease management in cereals and field vegetables. However, validation through field trials under UK agronomic and climatic conditions would be necessary before recommending specific variety ratios to growers.

Key measures

Disease prevalence; pathogen genotype invasion dynamics; optimal ratio of resistant variety proportions; effect of priming on disease control

Outcomes reported

The study used epidemiological modelling to determine optimal proportions of resistant plant varieties in mixtures and their effect on disease prevalence. The model evaluated how pathogen genotypes with different resistance-breaking costs interact with priming-induced cross-protection between host varieties.

Theme
Farming systems, soils & land use
Subject
Regenerative & agroecological farming
Study type
Research
Study design
Mathematical modelling study
Source type
Peer-reviewed study
Status
Published
Geography
International
System type
Laboratory / in vitro
DOI
10.1371/journal.pcbi.1011146
Catalogue ID
SNmov0gws1-89wvcx

Topic tags

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