Simulation model for phytomona epidemics in coconut trees

Detalhes bibliográficos
Autor(a) principal: Sgrillo,Ricardo B.
Data de Publicação: 2005
Outros Autores: Moura,José I.L., Sgrillo,Katia R.P.A.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Neotropical entomology (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1519-566X2005000400001
Resumo: A mathematical deterministic compartmental model of a system composed by the host plant - coconut palms, the pathogen microorganism - Phytomonas staheli McGhee & McGhee, and the insect vector - Lincus lobuliger Bred. (Hemiptera: Pentatomidae) was developed. A healthy insect becomes infected after feeding on a diseased tree starting an epidemic by disseminating P. staheli to healthy palms. This process initiates an exponential disease growth that decreases when the number of infected plants increases. The software Vensim DSS® was used as a tool to build a simulation model of disease dynamics. Compartments (stocks) for healthy, infected and eradicated plants represented the plant components of the system. There are two sub models for the insect vector population; the compartments represent each life stage of the healthy and infected vector population. The simulation outputs were compared with data from a recorded epidemic of Phytomonas that occurred at the Experimental Station Lemos Maia (Cocoa Research Center, CEPLAC/CEPEC), located at Una, Bahia. Here we present extensive data on the sensitivity analysis of the parameters and results from simulations of application of epidemics control methods. The model indicates that control techniques for the vector only delays the spread of the disease, and that it would be more convenient not to apply control techniques for Lincus sp. in areas where the disease is absent.
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spelling Simulation model for phytomona epidemics in coconut treesMathematical modelinsect vectorLincusA mathematical deterministic compartmental model of a system composed by the host plant - coconut palms, the pathogen microorganism - Phytomonas staheli McGhee & McGhee, and the insect vector - Lincus lobuliger Bred. (Hemiptera: Pentatomidae) was developed. A healthy insect becomes infected after feeding on a diseased tree starting an epidemic by disseminating P. staheli to healthy palms. This process initiates an exponential disease growth that decreases when the number of infected plants increases. The software Vensim DSS® was used as a tool to build a simulation model of disease dynamics. Compartments (stocks) for healthy, infected and eradicated plants represented the plant components of the system. There are two sub models for the insect vector population; the compartments represent each life stage of the healthy and infected vector population. The simulation outputs were compared with data from a recorded epidemic of Phytomonas that occurred at the Experimental Station Lemos Maia (Cocoa Research Center, CEPLAC/CEPEC), located at Una, Bahia. Here we present extensive data on the sensitivity analysis of the parameters and results from simulations of application of epidemics control methods. The model indicates that control techniques for the vector only delays the spread of the disease, and that it would be more convenient not to apply control techniques for Lincus sp. in areas where the disease is absent.Sociedade Entomológica do Brasil2005-08-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1519-566X2005000400001Neotropical Entomology v.34 n.4 2005reponame:Neotropical entomology (Online)instname:Sociedade Entomológica do Brasil (SEB)instacron:SEB10.1590/S1519-566X2005000400001info:eu-repo/semantics/openAccessSgrillo,Ricardo B.Moura,José I.L.Sgrillo,Katia R.P.A.eng2005-09-26T00:00:00Zoai:scielo:S1519-566X2005000400001Revistahttp://www.scielo.br/neONGhttps://old.scielo.br/oai/scielo-oai.php||editor@seb.org.br1678-80521519-566Xopendoar:2005-09-26T00:00Neotropical entomology (Online) - Sociedade Entomológica do Brasil (SEB)false
dc.title.none.fl_str_mv Simulation model for phytomona epidemics in coconut trees
title Simulation model for phytomona epidemics in coconut trees
spellingShingle Simulation model for phytomona epidemics in coconut trees
Sgrillo,Ricardo B.
Mathematical model
insect vector
Lincus
title_short Simulation model for phytomona epidemics in coconut trees
title_full Simulation model for phytomona epidemics in coconut trees
title_fullStr Simulation model for phytomona epidemics in coconut trees
title_full_unstemmed Simulation model for phytomona epidemics in coconut trees
title_sort Simulation model for phytomona epidemics in coconut trees
author Sgrillo,Ricardo B.
author_facet Sgrillo,Ricardo B.
Moura,José I.L.
Sgrillo,Katia R.P.A.
author_role author
author2 Moura,José I.L.
Sgrillo,Katia R.P.A.
author2_role author
author
dc.contributor.author.fl_str_mv Sgrillo,Ricardo B.
Moura,José I.L.
Sgrillo,Katia R.P.A.
dc.subject.por.fl_str_mv Mathematical model
insect vector
Lincus
topic Mathematical model
insect vector
Lincus
description A mathematical deterministic compartmental model of a system composed by the host plant - coconut palms, the pathogen microorganism - Phytomonas staheli McGhee & McGhee, and the insect vector - Lincus lobuliger Bred. (Hemiptera: Pentatomidae) was developed. A healthy insect becomes infected after feeding on a diseased tree starting an epidemic by disseminating P. staheli to healthy palms. This process initiates an exponential disease growth that decreases when the number of infected plants increases. The software Vensim DSS® was used as a tool to build a simulation model of disease dynamics. Compartments (stocks) for healthy, infected and eradicated plants represented the plant components of the system. There are two sub models for the insect vector population; the compartments represent each life stage of the healthy and infected vector population. The simulation outputs were compared with data from a recorded epidemic of Phytomonas that occurred at the Experimental Station Lemos Maia (Cocoa Research Center, CEPLAC/CEPEC), located at Una, Bahia. Here we present extensive data on the sensitivity analysis of the parameters and results from simulations of application of epidemics control methods. The model indicates that control techniques for the vector only delays the spread of the disease, and that it would be more convenient not to apply control techniques for Lincus sp. in areas where the disease is absent.
publishDate 2005
dc.date.none.fl_str_mv 2005-08-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1519-566X2005000400001
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1519-566X2005000400001
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S1519-566X2005000400001
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Entomológica do Brasil
publisher.none.fl_str_mv Sociedade Entomológica do Brasil
dc.source.none.fl_str_mv Neotropical Entomology v.34 n.4 2005
reponame:Neotropical entomology (Online)
instname:Sociedade Entomológica do Brasil (SEB)
instacron:SEB
instname_str Sociedade Entomológica do Brasil (SEB)
instacron_str SEB
institution SEB
reponame_str Neotropical entomology (Online)
collection Neotropical entomology (Online)
repository.name.fl_str_mv Neotropical entomology (Online) - Sociedade Entomológica do Brasil (SEB)
repository.mail.fl_str_mv ||editor@seb.org.br
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