Analysis and fitting of an SIR model with host response to infection load for a plant disease

Author:

Gilligan Christopher A.1,Gubbins Simon1,Simons Sarah A.1

Affiliation:

1. Department of Plant Sciences, University of CambridgeDowning Street, Cambridge CB2 3EAUK

Abstract

We reformulate a model for botanical epidemics into an SIR form for susceptible ( S ), infected ( I ) and removed ( R ) plant organs, in order to examine the effects of different models for the effect of host responses to the load of infection on the production of susceptible tissue. The new formulation also allows for a decline in host susceptibility with age. The model is analysed and tested for the stem canker disease of potatoes, caused by the soil–borne fungus, Rhizoctonia solani . Using a combination of model fitting to field data and analysis of model behaviour, we show that a function for host response to the amount (load) of parasite infection is critical in the description of the temporal dynamics of susceptible and infected stems in epidemics of R. solani . Several different types of host response to infection are compared including two that allow for stimulation of the plant to produce more susceptible tissue at low levels of disease and inhibition at higher levels. We show that when the force of infection decays with time, due to increasing resistance of the host, the equilibrium density of susceptible stems depends on the parameters and initial conditions. The models differ in sensitivity to small changes in disease transmission with some showing marked qualitative changes leading to a flush of susceptible stems at low levels of disease transmission. We conclude that there is no evidence to reject an SIR model with a simpler linear term for the effect of infection load on the production of healthy tissue, even though biological considerations suggest greater complexity in the relationship between disease and growth. We show that reduction in initial inoculum density, and hence in the force of infection, is effective in controlling disase when the simple model applies.

Publisher

The Royal Society

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology

Reference21 articles.

1. Aitkin M. Anderson D. Francis B. & Hinde J. 1989 Statistical Modelling in GLIM. Oxford University Press.

2. Anonymous 1995 Facsimile ~. 4.0 User Guide. Didcot : AEA Technology.

3. Brassett P. R. & Gilligan C. A. 1988 A model for primary and secondary infection in botanical epidemics. ~eit. Pflan~enk. und Pflan~ens. 95 352-360.

4. Campbell C. L. & Madden L. V. 1990 Introduction to plant disease epidemiolog~. New York : Wiley.

5. Tuber size distribution in cv. Sebago and quantitative effects ofRhizoctonia solani on yield

Cited by 46 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3