Coffee pest severity by agrometeorological models in subtropical climate
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1007/s00484-022-02252-y http://hdl.handle.net/11449/230395 |
Resumo: | This study aimed to estimate the number of generations and cycle duration of the southern red mite, coffee berry borer, and coffee leaf miner using the thermal index to assist in controlling these main coffee pests in the state of Paraná, Brazil. The data of maximum and minimum air temperature (°C) and precipitation (mm) of all municipalities in the state from 1984 to 2018 were collected from the National Aeronautics and Space Administration/Prediction of Worldwide Energy Resources (NASA/POWER). The reference evapotranspiration was estimated using the (Camargo Campinas IAC Boletim 116:9, 1971) method and the water balance was calculated using the method of (Thornthwaite C, Mather J (1955) The water balance publications in climatology, 8 (1). DIT, Laboratory of climatology, Centerton, NJ, USA). The basal temperature of each pest minus the average temperature of the years was used to calculate the degrees-day, the duration of the pest cycle, and the number of generations per year. The influence of altitude on the development of coffee pests was measured using the Pearson correlation. The thermal index is able to estimate the damage caused by coffee pests in the state of Pará, Brazil. Coffee pests show greater severity in the north of Paraná, in the regions with the highest temperatures. It is the same region that concentrates most of the coffee production of the state. The results of the life cycle and number of generations were interpolated for the entire state using the kriging method. Coffee pests showed the highest severity in the north region of the state of Paraná, more specifically in the Northwest, North Central, and West Central mesoregions. These regions have concentrated most of the state’s coffee production. Mesoregions with the highest coffee production in the state showed higher susceptibility to coffee pests. Altitude showed a high correlation (r > 0.6) with the cycle variability and number of generations of coffee pests. The average cycles of the coffee berry borer, coffee leaf miner, and southern red mite are 24.13 (± 8.34), 45.64 (± 18.61), and 21.51 (± 3.51) days, respectively. The average annual generation was 16.67 (± 4.77), 9.02 (± 2.75), and 17.32 (± 2.63) generations, for the coffee berry borer, the coffee red mite, and the southern red mite, respectively. |
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Coffee pest severity by agrometeorological models in subtropical climateBrazilClimate maps; Crop modelingClimatologyCoffee berry borerThis study aimed to estimate the number of generations and cycle duration of the southern red mite, coffee berry borer, and coffee leaf miner using the thermal index to assist in controlling these main coffee pests in the state of Paraná, Brazil. The data of maximum and minimum air temperature (°C) and precipitation (mm) of all municipalities in the state from 1984 to 2018 were collected from the National Aeronautics and Space Administration/Prediction of Worldwide Energy Resources (NASA/POWER). The reference evapotranspiration was estimated using the (Camargo Campinas IAC Boletim 116:9, 1971) method and the water balance was calculated using the method of (Thornthwaite C, Mather J (1955) The water balance publications in climatology, 8 (1). DIT, Laboratory of climatology, Centerton, NJ, USA). The basal temperature of each pest minus the average temperature of the years was used to calculate the degrees-day, the duration of the pest cycle, and the number of generations per year. The influence of altitude on the development of coffee pests was measured using the Pearson correlation. The thermal index is able to estimate the damage caused by coffee pests in the state of Pará, Brazil. Coffee pests show greater severity in the north of Paraná, in the regions with the highest temperatures. It is the same region that concentrates most of the coffee production of the state. The results of the life cycle and number of generations were interpolated for the entire state using the kriging method. Coffee pests showed the highest severity in the north region of the state of Paraná, more specifically in the Northwest, North Central, and West Central mesoregions. These regions have concentrated most of the state’s coffee production. Mesoregions with the highest coffee production in the state showed higher susceptibility to coffee pests. Altitude showed a high correlation (r > 0.6) with the cycle variability and number of generations of coffee pests. The average cycles of the coffee berry borer, coffee leaf miner, and southern red mite are 24.13 (± 8.34), 45.64 (± 18.61), and 21.51 (± 3.51) days, respectively. The average annual generation was 16.67 (± 4.77), 9.02 (± 2.75), and 17.32 (± 2.63) generations, for the coffee berry borer, the coffee red mite, and the southern red mite, respectively.Federal Institute of Sul de Minas Gerais (IFSULDEMINAS), Minas GeraisFederal Institute of Mato Grosso Do Sul (IFMS), Mato Grosso Do SulGraduate Program in Agronomy (Soil Science) of the State University of Sao Paulo (FCAV/UNESP), Sao PauloGraduate Program in Agronomy (Soil Science) of the State University of Sao Paulo (FCAV/UNESP), Sao PauloFederal Institute of Sul de Minas Gerais (IFSULDEMINAS)Federal Institute of Mato Grosso Do Sul (IFMS)Universidade Estadual Paulista (UNESP)de Oliveira Aparecido, Lucas EduardoLorençone, Pedro AntonioLorençone, João Antoniode Meneses, Kamila Cunha [UNESP]de Lima, Rafael Faustoda Silva Cabral Moraes, José ReinaldoTorsoni, Guilherme Botega2022-04-29T08:39:36Z2022-04-29T08:39:36Z2022-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1007/s00484-022-02252-yInternational Journal of Biometeorology.1432-12540020-7128http://hdl.handle.net/11449/23039510.1007/s00484-022-02252-y2-s2.0-85124710619Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengInternational Journal of Biometeorologyinfo:eu-repo/semantics/openAccess2024-06-07T14:23:14Zoai:repositorio.unesp.br:11449/230395Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T15:39:33.343051Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Coffee pest severity by agrometeorological models in subtropical climate |
title |
Coffee pest severity by agrometeorological models in subtropical climate |
spellingShingle |
Coffee pest severity by agrometeorological models in subtropical climate de Oliveira Aparecido, Lucas Eduardo Brazil Climate maps; Crop modeling Climatology Coffee berry borer |
title_short |
Coffee pest severity by agrometeorological models in subtropical climate |
title_full |
Coffee pest severity by agrometeorological models in subtropical climate |
title_fullStr |
Coffee pest severity by agrometeorological models in subtropical climate |
title_full_unstemmed |
Coffee pest severity by agrometeorological models in subtropical climate |
title_sort |
Coffee pest severity by agrometeorological models in subtropical climate |
author |
de Oliveira Aparecido, Lucas Eduardo |
author_facet |
de Oliveira Aparecido, Lucas Eduardo Lorençone, Pedro Antonio Lorençone, João Antonio de Meneses, Kamila Cunha [UNESP] de Lima, Rafael Fausto da Silva Cabral Moraes, José Reinaldo Torsoni, Guilherme Botega |
author_role |
author |
author2 |
Lorençone, Pedro Antonio Lorençone, João Antonio de Meneses, Kamila Cunha [UNESP] de Lima, Rafael Fausto da Silva Cabral Moraes, José Reinaldo Torsoni, Guilherme Botega |
author2_role |
author author author author author author |
dc.contributor.none.fl_str_mv |
Federal Institute of Sul de Minas Gerais (IFSULDEMINAS) Federal Institute of Mato Grosso Do Sul (IFMS) Universidade Estadual Paulista (UNESP) |
dc.contributor.author.fl_str_mv |
de Oliveira Aparecido, Lucas Eduardo Lorençone, Pedro Antonio Lorençone, João Antonio de Meneses, Kamila Cunha [UNESP] de Lima, Rafael Fausto da Silva Cabral Moraes, José Reinaldo Torsoni, Guilherme Botega |
dc.subject.por.fl_str_mv |
Brazil Climate maps; Crop modeling Climatology Coffee berry borer |
topic |
Brazil Climate maps; Crop modeling Climatology Coffee berry borer |
description |
This study aimed to estimate the number of generations and cycle duration of the southern red mite, coffee berry borer, and coffee leaf miner using the thermal index to assist in controlling these main coffee pests in the state of Paraná, Brazil. The data of maximum and minimum air temperature (°C) and precipitation (mm) of all municipalities in the state from 1984 to 2018 were collected from the National Aeronautics and Space Administration/Prediction of Worldwide Energy Resources (NASA/POWER). The reference evapotranspiration was estimated using the (Camargo Campinas IAC Boletim 116:9, 1971) method and the water balance was calculated using the method of (Thornthwaite C, Mather J (1955) The water balance publications in climatology, 8 (1). DIT, Laboratory of climatology, Centerton, NJ, USA). The basal temperature of each pest minus the average temperature of the years was used to calculate the degrees-day, the duration of the pest cycle, and the number of generations per year. The influence of altitude on the development of coffee pests was measured using the Pearson correlation. The thermal index is able to estimate the damage caused by coffee pests in the state of Pará, Brazil. Coffee pests show greater severity in the north of Paraná, in the regions with the highest temperatures. It is the same region that concentrates most of the coffee production of the state. The results of the life cycle and number of generations were interpolated for the entire state using the kriging method. Coffee pests showed the highest severity in the north region of the state of Paraná, more specifically in the Northwest, North Central, and West Central mesoregions. These regions have concentrated most of the state’s coffee production. Mesoregions with the highest coffee production in the state showed higher susceptibility to coffee pests. Altitude showed a high correlation (r > 0.6) with the cycle variability and number of generations of coffee pests. The average cycles of the coffee berry borer, coffee leaf miner, and southern red mite are 24.13 (± 8.34), 45.64 (± 18.61), and 21.51 (± 3.51) days, respectively. The average annual generation was 16.67 (± 4.77), 9.02 (± 2.75), and 17.32 (± 2.63) generations, for the coffee berry borer, the coffee red mite, and the southern red mite, respectively. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-04-29T08:39:36Z 2022-04-29T08:39:36Z 2022-01-01 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1007/s00484-022-02252-y International Journal of Biometeorology. 1432-1254 0020-7128 http://hdl.handle.net/11449/230395 10.1007/s00484-022-02252-y 2-s2.0-85124710619 |
url |
http://dx.doi.org/10.1007/s00484-022-02252-y http://hdl.handle.net/11449/230395 |
identifier_str_mv |
International Journal of Biometeorology. 1432-1254 0020-7128 10.1007/s00484-022-02252-y 2-s2.0-85124710619 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
International Journal of Biometeorology |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808128546583871488 |