Literature DB >> 36259173

How the epidemiology of disease-resistant and disease-tolerant varieties affects grower behaviour.

Rachel E Murray-Watson1, Nik J Cunniffe1.   

Abstract

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.

Entities:  

Keywords:  behavioural model; epidemiological model; resistance; tolerance; tomato yellow leaf curl virus

Mesh:

Year:  2022        PMID: 36259173      PMCID: PMC9579772          DOI: 10.1098/rsif.2022.0517

Source DB:  PubMed          Journal:  J R Soc Interface        ISSN: 1742-5662            Impact factor:   4.293


  49 in total

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Authors:  Akiko Ohtsuki; Akira Sasaki
Journal:  J Theor Biol       Date:  2005-08-08       Impact factor: 2.691

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Journal:  Phytopathology       Date:  2008-02       Impact factor: 4.025

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Journal:  Plant Dis       Date:  1999-11       Impact factor: 4.438

4.  Comparison of Resistance Level to Tomato Yellow Leaf Curl Virus Among Commercial Cultivars and Breeding Lines.

Authors:  Moshe Lapidot; Michael Friedmann; Oded Lachman; Avidan Yehezkel; Saadia Nahon; Shlomo Cohen; Meir Pilowsky
Journal:  Plant Dis       Date:  1997-12       Impact factor: 4.438

5.  Backward bifurcations in dengue transmission dynamics.

Authors:  S M Garba; A B Gumel; M R Abu Bakar
Journal:  Math Biosci       Date:  2008-05-20       Impact factor: 2.144

6.  Infection of tomato by the tomato yellow leaf curl virus: susceptibility to infection, symptom development, and accumulation of viral DNA.

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Journal:  Arch Virol       Date:  1990       Impact factor: 2.574

7.  Resistance to Tomato Yellow Leaf Curl Virus in Tomato Germplasm.

Authors:  Zhe Yan; Ana Pérez-de-Castro; Maria J Díez; Samuel F Hutton; Richard G F Visser; Anne-Marie A Wolters; Yuling Bai; Junming Li
Journal:  Front Plant Sci       Date:  2018-08-20       Impact factor: 5.753

8.  Tomato Yellow Leaf Curl Virus-Resistant and -Susceptible Tomato Genotypes Similarly Impact the Virus Population Genetics.

Authors:  Wendy G Marchant; Saurabh Gautam; Samuel F Hutton; Rajagopalbabu Srinivasan
Journal:  Front Plant Sci       Date:  2020-12-07       Impact factor: 5.753

9.  The genetic analysis of tolerance to infections: a review.

Authors:  Antti Kause; Jørgen Odegård
Journal:  Front Genet       Date:  2012-12-14       Impact factor: 4.599

10.  Assessing the public health impact of tolerance-based therapies with mathematical models.

Authors:  Nathanaël Hozé; Sebastian Bonhoeffer; Roland Regoes
Journal:  PLoS Comput Biol       Date:  2018-05-04       Impact factor: 4.475

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