Meteorological factors and Asian soybean rust epidemics: a systems approach and implications for risk assessment

Detalhes bibliográficos
Autor(a) principal: Del Ponte,Emerson Medeiros
Data de Publicação: 2008
Outros Autores: Esker,Paul David
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Scientia Agrícola (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162008000700014
Resumo: Favorable meteorological and environmental conditions are critical components that affect Asian soybean rust (ASR), caused by Phakopsora pachyrhizi, the most damaging fungal disease of soybean. In this review, we used available knowledge on the effect of meteorological factors affecting the disease to construct a systems-based approach to understand the risk of ASR epidemics. The systems approach is based on a hierarchical framework where relevant environmental factors that affect the key stages of the ASR disease cycle are identified and this included both aerobiological and epidemiological components. The formal framework we used examined the following epidemic characteristics: spore release, spore dispersal, spore deposition, infection efficiency, latent period and spore production. It provided the ability to identify the most important meteorological-related factors along with relevant knowledge gaps from which the implications for disease forecasting were described. This is new information that can be used as a guide for further epidemiological research and especially to develop and improve upon both local and regional risk models.
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spelling Meteorological factors and Asian soybean rust epidemics: a systems approach and implications for risk assessmentPhakopsora pachyrhiziplant epidemiologyrisk predictionclimatologyplant diseasesFavorable meteorological and environmental conditions are critical components that affect Asian soybean rust (ASR), caused by Phakopsora pachyrhizi, the most damaging fungal disease of soybean. In this review, we used available knowledge on the effect of meteorological factors affecting the disease to construct a systems-based approach to understand the risk of ASR epidemics. The systems approach is based on a hierarchical framework where relevant environmental factors that affect the key stages of the ASR disease cycle are identified and this included both aerobiological and epidemiological components. The formal framework we used examined the following epidemic characteristics: spore release, spore dispersal, spore deposition, infection efficiency, latent period and spore production. It provided the ability to identify the most important meteorological-related factors along with relevant knowledge gaps from which the implications for disease forecasting were described. This is new information that can be used as a guide for further epidemiological research and especially to develop and improve upon both local and regional risk models.Escola Superior de Agricultura "Luiz de Queiroz"2008-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162008000700014Scientia Agricola v.65 n.spe 2008reponame:Scientia Agrícola (Online)instname:Universidade de São Paulo (USP)instacron:USP10.1590/S0103-90162008000700014info:eu-repo/semantics/openAccessDel Ponte,Emerson MedeirosEsker,Paul Davideng2009-01-22T00:00:00Zoai:scielo:S0103-90162008000700014Revistahttp://revistas.usp.br/sa/indexPUBhttps://old.scielo.br/oai/scielo-oai.phpscientia@usp.br||alleoni@usp.br1678-992X0103-9016opendoar:2009-01-22T00:00Scientia Agrícola (Online) - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Meteorological factors and Asian soybean rust epidemics: a systems approach and implications for risk assessment
title Meteorological factors and Asian soybean rust epidemics: a systems approach and implications for risk assessment
spellingShingle Meteorological factors and Asian soybean rust epidemics: a systems approach and implications for risk assessment
Del Ponte,Emerson Medeiros
Phakopsora pachyrhizi
plant epidemiology
risk prediction
climatology
plant diseases
title_short Meteorological factors and Asian soybean rust epidemics: a systems approach and implications for risk assessment
title_full Meteorological factors and Asian soybean rust epidemics: a systems approach and implications for risk assessment
title_fullStr Meteorological factors and Asian soybean rust epidemics: a systems approach and implications for risk assessment
title_full_unstemmed Meteorological factors and Asian soybean rust epidemics: a systems approach and implications for risk assessment
title_sort Meteorological factors and Asian soybean rust epidemics: a systems approach and implications for risk assessment
author Del Ponte,Emerson Medeiros
author_facet Del Ponte,Emerson Medeiros
Esker,Paul David
author_role author
author2 Esker,Paul David
author2_role author
dc.contributor.author.fl_str_mv Del Ponte,Emerson Medeiros
Esker,Paul David
dc.subject.por.fl_str_mv Phakopsora pachyrhizi
plant epidemiology
risk prediction
climatology
plant diseases
topic Phakopsora pachyrhizi
plant epidemiology
risk prediction
climatology
plant diseases
description Favorable meteorological and environmental conditions are critical components that affect Asian soybean rust (ASR), caused by Phakopsora pachyrhizi, the most damaging fungal disease of soybean. In this review, we used available knowledge on the effect of meteorological factors affecting the disease to construct a systems-based approach to understand the risk of ASR epidemics. The systems approach is based on a hierarchical framework where relevant environmental factors that affect the key stages of the ASR disease cycle are identified and this included both aerobiological and epidemiological components. The formal framework we used examined the following epidemic characteristics: spore release, spore dispersal, spore deposition, infection efficiency, latent period and spore production. It provided the ability to identify the most important meteorological-related factors along with relevant knowledge gaps from which the implications for disease forecasting were described. This is new information that can be used as a guide for further epidemiological research and especially to develop and improve upon both local and regional risk models.
publishDate 2008
dc.date.none.fl_str_mv 2008-12-01
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=S0103-90162008000700014
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162008000700014
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0103-90162008000700014
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 Escola Superior de Agricultura "Luiz de Queiroz"
publisher.none.fl_str_mv Escola Superior de Agricultura "Luiz de Queiroz"
dc.source.none.fl_str_mv Scientia Agricola v.65 n.spe 2008
reponame:Scientia Agrícola (Online)
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
instacron_str USP
institution USP
reponame_str Scientia Agrícola (Online)
collection Scientia Agrícola (Online)
repository.name.fl_str_mv Scientia Agrícola (Online) - Universidade de São Paulo (USP)
repository.mail.fl_str_mv scientia@usp.br||alleoni@usp.br
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