Coffee pest severity by agrometeorological models in subtropical climate

Detalhes bibliográficos
Autor(a) principal: de Oliveira Aparecido, Lucas Eduardo
Data de Publicação: 2022
Outros Autores: Lorençone, Pedro Antonio, Lorençone, João Antonio, de Meneses, Kamila Cunha [UNESP], de Lima, Rafael Fausto, da Silva Cabral Moraes, José Reinaldo, Torsoni, Guilherme Botega
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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spelling 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
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