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How the epidemiology of disease-resistant and disease-tolerant varieties affects grower behaviour
Population-scale effects of resistant or tolerant crop varieties have received little consideration from epidemiologists. When growers deploy tolerant crop, population-scale disease pressures are often unaffected. This only benefits growers using tolerant varieties, selfishly decreasing yields for o...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9579772/ https://www.ncbi.nlm.nih.gov/pubmed/36259173 http://dx.doi.org/10.1098/rsif.2022.0517 |
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author | Murray-Watson, Rachel E. Cunniffe, Nik J. |
author_facet | Murray-Watson, Rachel E. Cunniffe, Nik J. |
author_sort | Murray-Watson, Rachel E. |
collection | PubMed |
description | Population-scale effects of resistant or tolerant crop varieties have received little consideration from epidemiologists. When growers deploy tolerant crop, population-scale disease pressures are often unaffected. This only benefits growers using tolerant varieties, selfishly decreasing yields for others. However, resistant crop can reduce disease pressure for all. We coupled an epidemiological model with game theory to understand how this affects uptake of control. Each time a grower plants a new crop, they must decide whether to use an improved (i.e. tolerant/resistant) or unimproved variety. This decision is based on strategic-adaptive expectations in our model, with growers comparing last season’s profit with an estimate of what is expected from the alternative crop. Despite the positive feedback loop promoting use of a tolerant variety whenever it is available, a mixed unimproved- and tolerant-crop equilibrium can persist. Tolerant crop can also induce bistability between a scenario in which all growers use tolerant crop and the disease-free equilibrium, where no growers do. However, due to ‘free-riding’ by growers of unimproved crop, resistant crop nearly always exists in a mixed equilibrium. This work highlights how growers respond to contrasting incentives caused by tolerant and resistant varieties, and the distinct effects on yields and population-scale deployment. |
format | Online Article Text |
id | pubmed-9579772 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-95797722022-10-20 How the epidemiology of disease-resistant and disease-tolerant varieties affects grower behaviour Murray-Watson, Rachel E. Cunniffe, Nik J. J R Soc Interface Life Sciences–Mathematics interface Population-scale effects of resistant or tolerant crop varieties have received little consideration from epidemiologists. When growers deploy tolerant crop, population-scale disease pressures are often unaffected. This only benefits growers using tolerant varieties, selfishly decreasing yields for others. However, resistant crop can reduce disease pressure for all. We coupled an epidemiological model with game theory to understand how this affects uptake of control. Each time a grower plants a new crop, they must decide whether to use an improved (i.e. tolerant/resistant) or unimproved variety. This decision is based on strategic-adaptive expectations in our model, with growers comparing last season’s profit with an estimate of what is expected from the alternative crop. Despite the positive feedback loop promoting use of a tolerant variety whenever it is available, a mixed unimproved- and tolerant-crop equilibrium can persist. Tolerant crop can also induce bistability between a scenario in which all growers use tolerant crop and the disease-free equilibrium, where no growers do. However, due to ‘free-riding’ by growers of unimproved crop, resistant crop nearly always exists in a mixed equilibrium. This work highlights how growers respond to contrasting incentives caused by tolerant and resistant varieties, and the distinct effects on yields and population-scale deployment. The Royal Society 2022-10-19 /pmc/articles/PMC9579772/ /pubmed/36259173 http://dx.doi.org/10.1098/rsif.2022.0517 Text en © 2022 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited. |
spellingShingle | Life Sciences–Mathematics interface Murray-Watson, Rachel E. Cunniffe, Nik J. How the epidemiology of disease-resistant and disease-tolerant varieties affects grower behaviour |
title | How the epidemiology of disease-resistant and disease-tolerant varieties affects grower behaviour |
title_full | How the epidemiology of disease-resistant and disease-tolerant varieties affects grower behaviour |
title_fullStr | How the epidemiology of disease-resistant and disease-tolerant varieties affects grower behaviour |
title_full_unstemmed | How the epidemiology of disease-resistant and disease-tolerant varieties affects grower behaviour |
title_short | How the epidemiology of disease-resistant and disease-tolerant varieties affects grower behaviour |
title_sort | how the epidemiology of disease-resistant and disease-tolerant varieties affects grower behaviour |
topic | Life Sciences–Mathematics interface |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9579772/ https://www.ncbi.nlm.nih.gov/pubmed/36259173 http://dx.doi.org/10.1098/rsif.2022.0517 |
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