Monitoring Pyricularia sp. airborne inoculum in Passo Fundo, Rio Grande do Sul, Brazil
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Summa phytopathologica (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-54052019000400361 |
Resumo: | ABSTRACT The fungus Pyricularia sp., the causal agent of wheat blast, produces light, dry and hyaline conidia that can be removed from sporulating lesions by the wind and transported over long distances. Experiments were performed with the aim of (a) determining the relationship between the climate variables and the quantity of conidia of Pyricularia sp., and (b) obtaining technical data that can be used in the elaboration of blast forecasting models. From February 2nd, 2013 to June 7th, 2014, the number of Pyricularia sp. conidia in the air was monitored by using a spore trap and glass slides smeared with vaseline. Several climate variables were hourly recorded during the spore capturing period. The data were explored based on classification trees and relationships between the weather-based predictors and the number of trapped conidia day-1. The strongest predictors were mean relative humidity, daily mean temperature, precipitation lower than 5 mm day-1, and number of hours when temperature was between 15 and 35 °C and relative humidity > 93%. |
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Summa phytopathologica (Online) |
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Monitoring Pyricularia sp. airborne inoculum in Passo Fundo, Rio Grande do Sul, BrazilTriticum aestivumOryza sativaweather factorsforecasting modelsABSTRACT The fungus Pyricularia sp., the causal agent of wheat blast, produces light, dry and hyaline conidia that can be removed from sporulating lesions by the wind and transported over long distances. Experiments were performed with the aim of (a) determining the relationship between the climate variables and the quantity of conidia of Pyricularia sp., and (b) obtaining technical data that can be used in the elaboration of blast forecasting models. From February 2nd, 2013 to June 7th, 2014, the number of Pyricularia sp. conidia in the air was monitored by using a spore trap and glass slides smeared with vaseline. Several climate variables were hourly recorded during the spore capturing period. The data were explored based on classification trees and relationships between the weather-based predictors and the number of trapped conidia day-1. The strongest predictors were mean relative humidity, daily mean temperature, precipitation lower than 5 mm day-1, and number of hours when temperature was between 15 and 35 °C and relative humidity > 93%.Grupo Paulista de Fitopatologia2019-10-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-54052019000400361Summa Phytopathologica v.45 n.4 2019reponame:Summa phytopathologica (Online)instname:Grupo Paulista de Fitopatologiainstacron:GPF10.1590/0100-5405/178086info:eu-repo/semantics/openAccessDanelli,Anderson Luiz DuranteFernandes,José Maurício CunhaMaciel,João Leodato NunesBoaretto,CristinaForcelini,Carlos Albertoeng2020-01-14T00:00:00Zoai:scielo:S0100-54052019000400361Revistahttp://www.scielo.br/sphttps://old.scielo.br/oai/scielo-oai.phpsumma@fca.unesp.br1980-54540100-5405opendoar:2020-01-14T00:00Summa phytopathologica (Online) - Grupo Paulista de Fitopatologiafalse |
dc.title.none.fl_str_mv |
Monitoring Pyricularia sp. airborne inoculum in Passo Fundo, Rio Grande do Sul, Brazil |
title |
Monitoring Pyricularia sp. airborne inoculum in Passo Fundo, Rio Grande do Sul, Brazil |
spellingShingle |
Monitoring Pyricularia sp. airborne inoculum in Passo Fundo, Rio Grande do Sul, Brazil Danelli,Anderson Luiz Durante Triticum aestivum Oryza sativa weather factors forecasting models |
title_short |
Monitoring Pyricularia sp. airborne inoculum in Passo Fundo, Rio Grande do Sul, Brazil |
title_full |
Monitoring Pyricularia sp. airborne inoculum in Passo Fundo, Rio Grande do Sul, Brazil |
title_fullStr |
Monitoring Pyricularia sp. airborne inoculum in Passo Fundo, Rio Grande do Sul, Brazil |
title_full_unstemmed |
Monitoring Pyricularia sp. airborne inoculum in Passo Fundo, Rio Grande do Sul, Brazil |
title_sort |
Monitoring Pyricularia sp. airborne inoculum in Passo Fundo, Rio Grande do Sul, Brazil |
author |
Danelli,Anderson Luiz Durante |
author_facet |
Danelli,Anderson Luiz Durante Fernandes,José Maurício Cunha Maciel,João Leodato Nunes Boaretto,Cristina Forcelini,Carlos Alberto |
author_role |
author |
author2 |
Fernandes,José Maurício Cunha Maciel,João Leodato Nunes Boaretto,Cristina Forcelini,Carlos Alberto |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Danelli,Anderson Luiz Durante Fernandes,José Maurício Cunha Maciel,João Leodato Nunes Boaretto,Cristina Forcelini,Carlos Alberto |
dc.subject.por.fl_str_mv |
Triticum aestivum Oryza sativa weather factors forecasting models |
topic |
Triticum aestivum Oryza sativa weather factors forecasting models |
description |
ABSTRACT The fungus Pyricularia sp., the causal agent of wheat blast, produces light, dry and hyaline conidia that can be removed from sporulating lesions by the wind and transported over long distances. Experiments were performed with the aim of (a) determining the relationship between the climate variables and the quantity of conidia of Pyricularia sp., and (b) obtaining technical data that can be used in the elaboration of blast forecasting models. From February 2nd, 2013 to June 7th, 2014, the number of Pyricularia sp. conidia in the air was monitored by using a spore trap and glass slides smeared with vaseline. Several climate variables were hourly recorded during the spore capturing period. The data were explored based on classification trees and relationships between the weather-based predictors and the number of trapped conidia day-1. The strongest predictors were mean relative humidity, daily mean temperature, precipitation lower than 5 mm day-1, and number of hours when temperature was between 15 and 35 °C and relative humidity > 93%. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-10-01 |
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=S0100-54052019000400361 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-54052019000400361 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0100-5405/178086 |
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 |
Grupo Paulista de Fitopatologia |
publisher.none.fl_str_mv |
Grupo Paulista de Fitopatologia |
dc.source.none.fl_str_mv |
Summa Phytopathologica v.45 n.4 2019 reponame:Summa phytopathologica (Online) instname:Grupo Paulista de Fitopatologia instacron:GPF |
instname_str |
Grupo Paulista de Fitopatologia |
instacron_str |
GPF |
institution |
GPF |
reponame_str |
Summa phytopathologica (Online) |
collection |
Summa phytopathologica (Online) |
repository.name.fl_str_mv |
Summa phytopathologica (Online) - Grupo Paulista de Fitopatologia |
repository.mail.fl_str_mv |
summa@fca.unesp.br |
_version_ |
1754193419684544512 |