Meteorological factors and Asian soybean rust epidemics: a systems approach and implications for risk assessment
Autor(a) principal: | |
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Data de Publicação: | 2008 |
Outros Autores: | |
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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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 |
_version_ |
1748936461376290816 |