A system to map the risk of infection by Puccinia kuehnii in Brazil

Detalhes bibliográficos
Autor(a) principal: Sumida, Ciro Hideki
Data de Publicação: 2018
Outros Autores: Fantin, Lucas Henrique, Gonçalves, Ricardo Marcelo, Canteri, Marcelo Giovanetti, Araujo, Kelly Lana, Giglioti, Éder Antônio
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Acta Scientiarum. Agronomy (Online)
Texto Completo: http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/39905
Resumo:  Orange rust caused by the fungus Puccinia kuehnii greatly affects sugarcane and causes millions of tons of losses in production. This condition was first reported in Brazil at the end of 2009. The disease is currently present in most of the countries that produce this crop. The aim of this research was to develop risk maps of P. kuehnii infection using temperature and relative humidity data, provided by 389 automatic weather stations throughout the country. A spatial distribution analysis was carried out to assess the number of daily hours of favorable conditions for spore germination in each region. In the central-south region, where the main sugarcane producing states are concentrated, two distinct periods were observed during the three years studied. Higher favorability occurred from October to April, and lower favorability occurred from May to September. The opposite relation was observed on the coast of the north-eastern region, where conditions were more favorable to the disease from May to September. The validation data were confirmed by the results of Pearson’s correlation between sugarcane orange rust infection under field conditions and the proposed maps. In conclusion, risk maps obtained using data from automatic weather stations could contribute to the monitoring of the risk of infection by sugarcane orange rust.
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spelling A system to map the risk of infection by Puccinia kuehnii in Brazilorange rustsugarcaneepidemiologyprediction.Fitopatologia Orange rust caused by the fungus Puccinia kuehnii greatly affects sugarcane and causes millions of tons of losses in production. This condition was first reported in Brazil at the end of 2009. The disease is currently present in most of the countries that produce this crop. The aim of this research was to develop risk maps of P. kuehnii infection using temperature and relative humidity data, provided by 389 automatic weather stations throughout the country. A spatial distribution analysis was carried out to assess the number of daily hours of favorable conditions for spore germination in each region. In the central-south region, where the main sugarcane producing states are concentrated, two distinct periods were observed during the three years studied. Higher favorability occurred from October to April, and lower favorability occurred from May to September. The opposite relation was observed on the coast of the north-eastern region, where conditions were more favorable to the disease from May to September. The validation data were confirmed by the results of Pearson’s correlation between sugarcane orange rust infection under field conditions and the proposed maps. In conclusion, risk maps obtained using data from automatic weather stations could contribute to the monitoring of the risk of infection by sugarcane orange rust.Universidade Estadual de Maringá2018-11-13info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionModelagemapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/3990510.4025/actasciagron.v41i1.39905Acta Scientiarum. Agronomy; Vol 41 (2019): Publicação Contínua; e39905Acta Scientiarum. Agronomy; v. 41 (2019): Publicação Contínua; e399051807-86211679-9275reponame:Acta Scientiarum. Agronomy (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMenghttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/39905/pdfCopyright (c) 2018 Acta Scientiarum. Agronomyhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessSumida, Ciro HidekiFantin, Lucas HenriqueGonçalves, Ricardo MarceloCanteri, Marcelo GiovanettiAraujo, Kelly LanaGiglioti, Éder Antônio2019-09-24T12:25:27Zoai:periodicos.uem.br/ojs:article/39905Revistahttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgronPUBhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/oaiactaagron@uem.br||actaagron@uem.br|| edamasio@uem.br1807-86211679-9275opendoar:2019-09-24T12:25:27Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM)false
dc.title.none.fl_str_mv A system to map the risk of infection by Puccinia kuehnii in Brazil
title A system to map the risk of infection by Puccinia kuehnii in Brazil
spellingShingle A system to map the risk of infection by Puccinia kuehnii in Brazil
Sumida, Ciro Hideki
orange rust
sugarcane
epidemiology
prediction.
Fitopatologia
title_short A system to map the risk of infection by Puccinia kuehnii in Brazil
title_full A system to map the risk of infection by Puccinia kuehnii in Brazil
title_fullStr A system to map the risk of infection by Puccinia kuehnii in Brazil
title_full_unstemmed A system to map the risk of infection by Puccinia kuehnii in Brazil
title_sort A system to map the risk of infection by Puccinia kuehnii in Brazil
author Sumida, Ciro Hideki
author_facet Sumida, Ciro Hideki
Fantin, Lucas Henrique
Gonçalves, Ricardo Marcelo
Canteri, Marcelo Giovanetti
Araujo, Kelly Lana
Giglioti, Éder Antônio
author_role author
author2 Fantin, Lucas Henrique
Gonçalves, Ricardo Marcelo
Canteri, Marcelo Giovanetti
Araujo, Kelly Lana
Giglioti, Éder Antônio
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Sumida, Ciro Hideki
Fantin, Lucas Henrique
Gonçalves, Ricardo Marcelo
Canteri, Marcelo Giovanetti
Araujo, Kelly Lana
Giglioti, Éder Antônio
dc.subject.por.fl_str_mv orange rust
sugarcane
epidemiology
prediction.
Fitopatologia
topic orange rust
sugarcane
epidemiology
prediction.
Fitopatologia
description  Orange rust caused by the fungus Puccinia kuehnii greatly affects sugarcane and causes millions of tons of losses in production. This condition was first reported in Brazil at the end of 2009. The disease is currently present in most of the countries that produce this crop. The aim of this research was to develop risk maps of P. kuehnii infection using temperature and relative humidity data, provided by 389 automatic weather stations throughout the country. A spatial distribution analysis was carried out to assess the number of daily hours of favorable conditions for spore germination in each region. In the central-south region, where the main sugarcane producing states are concentrated, two distinct periods were observed during the three years studied. Higher favorability occurred from October to April, and lower favorability occurred from May to September. The opposite relation was observed on the coast of the north-eastern region, where conditions were more favorable to the disease from May to September. The validation data were confirmed by the results of Pearson’s correlation between sugarcane orange rust infection under field conditions and the proposed maps. In conclusion, risk maps obtained using data from automatic weather stations could contribute to the monitoring of the risk of infection by sugarcane orange rust.
publishDate 2018
dc.date.none.fl_str_mv 2018-11-13
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Modelagem
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/39905
10.4025/actasciagron.v41i1.39905
url http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/39905
identifier_str_mv 10.4025/actasciagron.v41i1.39905
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/39905/pdf
dc.rights.driver.fl_str_mv Copyright (c) 2018 Acta Scientiarum. Agronomy
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2018 Acta Scientiarum. Agronomy
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Estadual de Maringá
publisher.none.fl_str_mv Universidade Estadual de Maringá
dc.source.none.fl_str_mv Acta Scientiarum. Agronomy; Vol 41 (2019): Publicação Contínua; e39905
Acta Scientiarum. Agronomy; v. 41 (2019): Publicação Contínua; e39905
1807-8621
1679-9275
reponame:Acta Scientiarum. Agronomy (Online)
instname:Universidade Estadual de Maringá (UEM)
instacron:UEM
instname_str Universidade Estadual de Maringá (UEM)
instacron_str UEM
institution UEM
reponame_str Acta Scientiarum. Agronomy (Online)
collection Acta Scientiarum. Agronomy (Online)
repository.name.fl_str_mv Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM)
repository.mail.fl_str_mv actaagron@uem.br||actaagron@uem.br|| edamasio@uem.br
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