Literature DB >> 16847718

Evaluating the performance of chemical control in the presence of resistant pathogens.

Richard J Hall1, Simon Gubbins, Christopher A Gilligan.   

Abstract

Resistance to chemical control is a major impediment to combating many socially and economically important diseases. Theoretical and experimental studies have shown that reducing the intensity of treatment can slow, or even prevent, the invasion of resistance, yet reducing treatment levels also results in a net increase in disease severity. Clearly there is a need to identify control strategies that balance the conflicting aims of resistance management and disease suppression. Using a mathematical model for the dynamics of fungicide resistance in crop pathogens, we present a broadly applicable measure of the performance of chemical control in the presence of resistant pathogen strains. We illustrate how to optimise fungicide performance with respect to the intensity of treatment as a function of the duration of treatment and the fitness of the resistant strain. We find that in the short term, fungicide performance is optimised at high levels of treatment despite rapid selection for resistance, while the long-term optimum performance is achieved when treatment renders the fungicide-sensitive and fungicide-resistant pathogens equally fit. We further present evidence that under prescribed conditions, the ratio of dose size and frequency, and the fungicide mode of action, can have a significant effect on fungicide performance.

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Year:  2006        PMID: 16847718     DOI: 10.1007/s11538-006-9139-z

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  8 in total

1.  Perfect counterfactuals for epidemic simulations.

Authors:  Joshua Kaminsky; Lindsay T Keegan; C Jessica E Metcalf; Justin Lessler
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-07-08       Impact factor: 6.237

2.  Invasion, persistence and control in epidemic models for plant pathogens: the effect of host demography.

Authors:  Nik J Cunniffe; Christopher A Gilligan
Journal:  J R Soc Interface       Date:  2009-07-22       Impact factor: 4.118

3.  Trade-off between disease resistance and crop yield: a landscape-scale mathematical modelling perspective.

Authors:  Martin Vyska; Nik Cunniffe; Christopher Gilligan
Journal:  J R Soc Interface       Date:  2016-10       Impact factor: 4.118

Review 4.  Sustainable agriculture and plant diseases: an epidemiological perspective.

Authors:  Christopher A Gilligan
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2008-02-27       Impact factor: 6.237

5.  The emergence of resistance to fungicides.

Authors:  Peter H F Hobbelen; Neil D Paveley; Frank van den Bosch
Journal:  PLoS One       Date:  2014-03-21       Impact factor: 3.240

6.  An epidemiological framework for modelling fungicide dynamics and control.

Authors:  Matthew D Castle; Christopher A Gilligan
Journal:  PLoS One       Date:  2012-08-10       Impact factor: 3.240

7.  Cost-effective control of plant disease when epidemiological knowledge is incomplete: modelling Bahia bark scaling of citrus.

Authors:  Nik J Cunniffe; Francisco F Laranjeira; Franco M Neri; R Erik DeSimone; Christopher A Gilligan
Journal:  PLoS Comput Biol       Date:  2014-08-07       Impact factor: 4.475

8.  Reducing the Use of Pesticides with Site-Specific Application: The Chemical Control of Rhizoctonia solani as a Case of Study for the Management of Soil-Borne Diseases.

Authors:  Ronan Le Cointe; Thomas E Simon; Patrick Delarue; Maxime Hervé; Melen Leclerc; Sylvain Poggi
Journal:  PLoS One       Date:  2016-09-26       Impact factor: 3.240

  8 in total

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