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An Epidemiological Framework for Modelling Fungicide Dynamics and Control

Defining appropriate policies for controlling the spread of fungal disease in agricultural landscapes requires appropriate theoretical models. Most existing models for the fungicidal control of plant diseases do not explicitly include the dynamics of the fungicide itself, nor do they consider the im...

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Autores principales: Castle, Matthew D., Gilligan, Christopher A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3416832/
https://www.ncbi.nlm.nih.gov/pubmed/22899992
http://dx.doi.org/10.1371/journal.pone.0040941
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author Castle, Matthew D.
Gilligan, Christopher A.
author_facet Castle, Matthew D.
Gilligan, Christopher A.
author_sort Castle, Matthew D.
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description Defining appropriate policies for controlling the spread of fungal disease in agricultural landscapes requires appropriate theoretical models. Most existing models for the fungicidal control of plant diseases do not explicitly include the dynamics of the fungicide itself, nor do they consider the impact of infection occurring during the host growth phase. We introduce a modelling framework for fungicide application that allows us to consider how “explicit” modelling of fungicide dynamics affects the invasion and persistence of plant pathogens. Specifically, we show that “explicit” models exhibit bistability zones for values of the basic reproductive number ([Image: see text]) less than one within which the invasion and persistence threshold depends on the initial infection levels. This is in contrast to classical models where invasion and persistence thresholds are solely dependent on [Image: see text]. In addition if initial infection occurs during the growth phase then an additional “invasion zone” can exist for even smaller values of [Image: see text]. Within this region the system will experience an epidemic that is not able to persist. We further show that ideal fungicides with high levels of effectiveness, low rates of application and low rates of decay lead to the existence of these bistability zones. The results are robust to the inclusion of demographic stochasticity.
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spelling pubmed-34168322012-08-16 An Epidemiological Framework for Modelling Fungicide Dynamics and Control Castle, Matthew D. Gilligan, Christopher A. PLoS One Research Article Defining appropriate policies for controlling the spread of fungal disease in agricultural landscapes requires appropriate theoretical models. Most existing models for the fungicidal control of plant diseases do not explicitly include the dynamics of the fungicide itself, nor do they consider the impact of infection occurring during the host growth phase. We introduce a modelling framework for fungicide application that allows us to consider how “explicit” modelling of fungicide dynamics affects the invasion and persistence of plant pathogens. Specifically, we show that “explicit” models exhibit bistability zones for values of the basic reproductive number ([Image: see text]) less than one within which the invasion and persistence threshold depends on the initial infection levels. This is in contrast to classical models where invasion and persistence thresholds are solely dependent on [Image: see text]. In addition if initial infection occurs during the growth phase then an additional “invasion zone” can exist for even smaller values of [Image: see text]. Within this region the system will experience an epidemic that is not able to persist. We further show that ideal fungicides with high levels of effectiveness, low rates of application and low rates of decay lead to the existence of these bistability zones. The results are robust to the inclusion of demographic stochasticity. Public Library of Science 2012-08-10 /pmc/articles/PMC3416832/ /pubmed/22899992 http://dx.doi.org/10.1371/journal.pone.0040941 Text en © 2012 Castle, Gilligan http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Castle, Matthew D.
Gilligan, Christopher A.
An Epidemiological Framework for Modelling Fungicide Dynamics and Control
title An Epidemiological Framework for Modelling Fungicide Dynamics and Control
title_full An Epidemiological Framework for Modelling Fungicide Dynamics and Control
title_fullStr An Epidemiological Framework for Modelling Fungicide Dynamics and Control
title_full_unstemmed An Epidemiological Framework for Modelling Fungicide Dynamics and Control
title_short An Epidemiological Framework for Modelling Fungicide Dynamics and Control
title_sort epidemiological framework for modelling fungicide dynamics and control
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3416832/
https://www.ncbi.nlm.nih.gov/pubmed/22899992
http://dx.doi.org/10.1371/journal.pone.0040941
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