A system to map the risk of infection by Puccinia kuehnii in Brazil
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , , |
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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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 |
_version_ |
1799305910578839552 |