Fungicide resistance risk assessment based on traits associated with the rate of pathogen evolution

A - Papers appearing in refereed journals

Grimmer, M. K., Van Den Bosch, F., Powers, S. J. and Paveley, N. D. 2015. Fungicide resistance risk assessment based on traits associated with the rate of pathogen evolution. Pest Management Science. 71 (2), pp. 207-215. https://doi.org/10.1002/ps.3781

AuthorsGrimmer, M. K., Van Den Bosch, F., Powers, S. J. and Paveley, N. D.
Abstract

BACKGROUNDA new fungicide resistance risk assessment method is described, based on traits (of pathogens, fungicides and agronomic systems) that are associated with rapid or slow occurrence of resistance. Candidate traits tested for their predictive value were those for which there was a mechanistic rationale that they could be determinants of the rate of resistance evolution. RESULTSA dataset of 61 European cases of resistance against single-site-acting fungicides was assembled. For each case, the number of years from product introduction to first detection of resistance (the FDR time) was quantified-varying from 2 to 24 years. Short and long predicted FDR times represent high and low resistance risk respectively. Regression analysis identified traits that were statistically associated with FDR time. A model combining these traits explained 61% of the variation in FDR time. Validation showed that this predictive power was highly unlikely to have occurred by chance. CONCLUSIONUnlike previous methods, trait-based risk assessment can be used to assess resistance risk for fungicides with new modes of action, when there is no prior knowledge of resistance behaviour. Risk predictions using the new method provide a more reliable basis for resistance management decisions. (c) 2014 Society of Chemical Industry

KeywordsAgronomy; Entomology
Year of Publication2015
JournalPest Management Science
Journal citation71 (2), pp. 207-215
Digital Object Identifier (DOI)https://doi.org/10.1002/ps.3781
PubMed ID24664659
Open accessPublished as non-open access
FunderChemicals Regulation Directorate (CRD) of the Health and Safety Directorate
Biotechnology and Biological Sciences Research Council
DEFRA - Department for Environment, Food and Rural Affairs UK
Funder project or codeDelivering Sustainable Systems (SS) [ISPG]
Quantifying Sustainable Systems
Statistics Department (Rothamsted)
PublisherWiley
ISSN1526-498X

Permalink - https://repository.rothamsted.ac.uk/item/8qzxy/fungicide-resistance-risk-assessment-based-on-traits-associated-with-the-rate-of-pathogen-evolution

Restricted files

Publisher's version

Under embargo indefinitely

200 total views
1 total downloads
2 views this month
0 downloads this month