Climate model for seasonal variation in Bemisia tabaci using CLIMEX in tomato crops
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | LOCUS Repositório Institucional da UFV |
Texto Completo: | https://doi.org/10.1007/s00484-018-01661-2 http://www.locus.ufv.br/handle/123456789/23959 |
Resumo: | The whitefly, Bemisia tabaci, is considered one of the most important pests for tomato Solanum lycopersicum. The population density of this pest varies throughout the year in response to seasonal variation. Studies of seasonality are important to understand the ecological dynamics and insect population in crops and help to identify which seasons have the best climatic conditions for the growth and development of this insect species. In this research, we used CLIMEX to estimate the seasonal abundance of a species in relation to climate over time and species geographical distribution. Therefore, this research is designed to infer the mechanisms affecting population processes, rather than simply provide an empirical description of field observations based on matching patterns of meteorological data. In this research, we identified monthly suitability for Bemisia tabaci, with the climate models, for 12 commercial tomato crop locations through CLIMEX (version 4.0). We observed that B. tabaci displays seasonality with increased abundance in tomato crops during March, April, May, June, October and November (first year) and during March, April, May, September and October (second year) in all monitored areas. During this period, our model demonstrated a strong agreement between B. tabaci density and CLIMEX weekly growth index (GIw), which indicates significant reliability of our model results. Our results may be useful to design sampling and control strategies, in periods and locations when there is high suitability for B. tabaci. |
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Climate model for seasonal variation in Bemisia tabaci using CLIMEX in tomato cropsSeasonalityWhitefliesModellingCLIMEXThe whitefly, Bemisia tabaci, is considered one of the most important pests for tomato Solanum lycopersicum. The population density of this pest varies throughout the year in response to seasonal variation. Studies of seasonality are important to understand the ecological dynamics and insect population in crops and help to identify which seasons have the best climatic conditions for the growth and development of this insect species. In this research, we used CLIMEX to estimate the seasonal abundance of a species in relation to climate over time and species geographical distribution. Therefore, this research is designed to infer the mechanisms affecting population processes, rather than simply provide an empirical description of field observations based on matching patterns of meteorological data. In this research, we identified monthly suitability for Bemisia tabaci, with the climate models, for 12 commercial tomato crop locations through CLIMEX (version 4.0). We observed that B. tabaci displays seasonality with increased abundance in tomato crops during March, April, May, June, October and November (first year) and during March, April, May, September and October (second year) in all monitored areas. During this period, our model demonstrated a strong agreement between B. tabaci density and CLIMEX weekly growth index (GIw), which indicates significant reliability of our model results. Our results may be useful to design sampling and control strategies, in periods and locations when there is high suitability for B. tabaci.International Journal of Biometeorology2019-03-15T13:37:17Z2019-03-15T13:37:17Z2019-03info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlepdfapplication/pdf1432-1254https://doi.org/10.1007/s00484-018-01661-2http://www.locus.ufv.br/handle/123456789/23959engVolume 63, Issue 3, Pages 281–291, March 2019ISBinfo:eu-repo/semantics/openAccessRamos, Rodrigo SoaresSilva, Ricardo Siqueira daAraújo, Tamíris Alves dePicanço, Marcelo CoutinhoKumar, LalitShabani, Farzinreponame:LOCUS Repositório Institucional da UFVinstname:Universidade Federal de Viçosa (UFV)instacron:UFV2024-07-12T08:45:22Zoai:locus.ufv.br:123456789/23959Repositório InstitucionalPUBhttps://www.locus.ufv.br/oai/requestfabiojreis@ufv.bropendoar:21452024-07-12T08:45:22LOCUS Repositório Institucional da UFV - Universidade Federal de Viçosa (UFV)false |
dc.title.none.fl_str_mv |
Climate model for seasonal variation in Bemisia tabaci using CLIMEX in tomato crops |
title |
Climate model for seasonal variation in Bemisia tabaci using CLIMEX in tomato crops |
spellingShingle |
Climate model for seasonal variation in Bemisia tabaci using CLIMEX in tomato crops Ramos, Rodrigo Soares Seasonality Whiteflies Modelling CLIMEX |
title_short |
Climate model for seasonal variation in Bemisia tabaci using CLIMEX in tomato crops |
title_full |
Climate model for seasonal variation in Bemisia tabaci using CLIMEX in tomato crops |
title_fullStr |
Climate model for seasonal variation in Bemisia tabaci using CLIMEX in tomato crops |
title_full_unstemmed |
Climate model for seasonal variation in Bemisia tabaci using CLIMEX in tomato crops |
title_sort |
Climate model for seasonal variation in Bemisia tabaci using CLIMEX in tomato crops |
author |
Ramos, Rodrigo Soares |
author_facet |
Ramos, Rodrigo Soares Silva, Ricardo Siqueira da Araújo, Tamíris Alves de Picanço, Marcelo Coutinho Kumar, Lalit Shabani, Farzin |
author_role |
author |
author2 |
Silva, Ricardo Siqueira da Araújo, Tamíris Alves de Picanço, Marcelo Coutinho Kumar, Lalit Shabani, Farzin |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Ramos, Rodrigo Soares Silva, Ricardo Siqueira da Araújo, Tamíris Alves de Picanço, Marcelo Coutinho Kumar, Lalit Shabani, Farzin |
dc.subject.por.fl_str_mv |
Seasonality Whiteflies Modelling CLIMEX |
topic |
Seasonality Whiteflies Modelling CLIMEX |
description |
The whitefly, Bemisia tabaci, is considered one of the most important pests for tomato Solanum lycopersicum. The population density of this pest varies throughout the year in response to seasonal variation. Studies of seasonality are important to understand the ecological dynamics and insect population in crops and help to identify which seasons have the best climatic conditions for the growth and development of this insect species. In this research, we used CLIMEX to estimate the seasonal abundance of a species in relation to climate over time and species geographical distribution. Therefore, this research is designed to infer the mechanisms affecting population processes, rather than simply provide an empirical description of field observations based on matching patterns of meteorological data. In this research, we identified monthly suitability for Bemisia tabaci, with the climate models, for 12 commercial tomato crop locations through CLIMEX (version 4.0). We observed that B. tabaci displays seasonality with increased abundance in tomato crops during March, April, May, June, October and November (first year) and during March, April, May, September and October (second year) in all monitored areas. During this period, our model demonstrated a strong agreement between B. tabaci density and CLIMEX weekly growth index (GIw), which indicates significant reliability of our model results. Our results may be useful to design sampling and control strategies, in periods and locations when there is high suitability for B. tabaci. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-03-15T13:37:17Z 2019-03-15T13:37:17Z 2019-03 |
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 |
1432-1254 https://doi.org/10.1007/s00484-018-01661-2 http://www.locus.ufv.br/handle/123456789/23959 |
identifier_str_mv |
1432-1254 |
url |
https://doi.org/10.1007/s00484-018-01661-2 http://www.locus.ufv.br/handle/123456789/23959 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Volume 63, Issue 3, Pages 281–291, March 2019 |
dc.rights.driver.fl_str_mv |
ISB info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
ISB |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
pdf application/pdf |
dc.publisher.none.fl_str_mv |
International Journal of Biometeorology |
publisher.none.fl_str_mv |
International Journal of Biometeorology |
dc.source.none.fl_str_mv |
reponame:LOCUS Repositório Institucional da UFV instname:Universidade Federal de Viçosa (UFV) instacron:UFV |
instname_str |
Universidade Federal de Viçosa (UFV) |
instacron_str |
UFV |
institution |
UFV |
reponame_str |
LOCUS Repositório Institucional da UFV |
collection |
LOCUS Repositório Institucional da UFV |
repository.name.fl_str_mv |
LOCUS Repositório Institucional da UFV - Universidade Federal de Viçosa (UFV) |
repository.mail.fl_str_mv |
fabiojreis@ufv.br |
_version_ |
1822610746061619200 |