Simulation model for phytomona epidemics in coconut trees
Autor(a) principal: | |
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Data de Publicação: | 2005 |
Outros Autores: | , |
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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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 |
_version_ |
1754820845441646592 |