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| Registros recuperados : 12 | |
| 6. |  | COSTA, C. L.; EASTOP, V. F.; BLACKMAN, R. L. Brazilian Aphidoidea: II. Accounts of the Lachninae, Chaitophorinae, Greenideinae, Anoeciinae, and Hormaphidinae. Pesquisa Agropecuaria Brasileira, Brasilia, v.28, n.3, p.269-280,mar.1993| Biblioteca(s): Embrapa Unidades Centrais. |
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| Registros recuperados : 12 | |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Cerrados. Para informações adicionais entre em contato com cpac.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Cerrados; Embrapa Roraima. |
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Data corrente: |
08/04/2021 |
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Data da última atualização: |
22/04/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
SILVA, R. S. da; FIDELIS, E. G.; AMARO, G. C.; RAMOS, R. S.; SANTANA JUNIOR, P. A.; PICANÇO, M. C. |
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Afiliação: |
ELISANGELA GOMES FIDELIS, CPAC; GEORGE CORREA AMARO, CPAF-RR. |
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Título: |
Climate-based seasonal dynamics of the invasive red palm mite Raoiella indica. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Pest Management Science, v. 76, n. 11, 2020. |
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Páginas: |
p. 3849-3856 |
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Idioma: |
Inglês |
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Conteúdo: |
BACKGROUND: Raoiella indica Hirst (Acari: Tenuipalpidae) is the most critical coconut and banana pest recently introduced in Brazil. Once the mite pests are introduced, it is essential to understand their dynamics in important crops under open-field climatic conditions to implement strategies for their management and determine the periods when species populations may increase in the field. Modelling tools have been used to determine the potential distribution of species and implications for the management of invasive species. Thus, our aim in this study was to determine the seasonal variation in R. indica and the influence of the monthly climate using CLIMEX modelling. We adjusted the CLIMEX model for R. indica based on distribution data, additional biological characteristics, and fluctuations in the R. indica population in a commercial coconut plantation. RESULTS: The model for the current climate shows a good match between the ecoclimatic index and the global distribution of R. indica. The model results demonstrate that most states of Brazil and several regions worldwide include areas with highly suitable climatic conditions for R. indica. We observed variations in the density of R. indica in commercial coconut crops, with the highest incidence occurring during the first months of the year. CONCLUSION: Our results showed different alterations in seasonal suitability for R. indica that may provide information for the implementation of methods for time management, such as strategies for sampling and control during periods with a high degree of suitability for R. indica. MenosBACKGROUND: Raoiella indica Hirst (Acari: Tenuipalpidae) is the most critical coconut and banana pest recently introduced in Brazil. Once the mite pests are introduced, it is essential to understand their dynamics in important crops under open-field climatic conditions to implement strategies for their management and determine the periods when species populations may increase in the field. Modelling tools have been used to determine the potential distribution of species and implications for the management of invasive species. Thus, our aim in this study was to determine the seasonal variation in R. indica and the influence of the monthly climate using CLIMEX modelling. We adjusted the CLIMEX model for R. indica based on distribution data, additional biological characteristics, and fluctuations in the R. indica population in a commercial coconut plantation. RESULTS: The model for the current climate shows a good match between the ecoclimatic index and the global distribution of R. indica. The model results demonstrate that most states of Brazil and several regions worldwide include areas with highly suitable climatic conditions for R. indica. We observed variations in the density of R. indica in commercial coconut crops, with the highest incidence occurring during the first months of the year. CONCLUSION: Our results showed different alterations in seasonal suitability for R. indica that may provide information for the implementation of methods for time management, such as st... Mostrar Tudo |
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Palavras-Chave: |
Especie invasora. |
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Thesagro: |
Ácaro; Banana; Coco. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02255naa a2200241 a 4500
001 2131134
005 2021-04-22
008 2020 bl uuuu u00u1 u #d
100 1 $aSILVA, R. S. da
245 $aClimate-based seasonal dynamics of the invasive red palm mite Raoiella indica.$h[electronic resource]
260 $c2020
300 $ap. 3849-3856
520 $aBACKGROUND: Raoiella indica Hirst (Acari: Tenuipalpidae) is the most critical coconut and banana pest recently introduced in Brazil. Once the mite pests are introduced, it is essential to understand their dynamics in important crops under open-field climatic conditions to implement strategies for their management and determine the periods when species populations may increase in the field. Modelling tools have been used to determine the potential distribution of species and implications for the management of invasive species. Thus, our aim in this study was to determine the seasonal variation in R. indica and the influence of the monthly climate using CLIMEX modelling. We adjusted the CLIMEX model for R. indica based on distribution data, additional biological characteristics, and fluctuations in the R. indica population in a commercial coconut plantation. RESULTS: The model for the current climate shows a good match between the ecoclimatic index and the global distribution of R. indica. The model results demonstrate that most states of Brazil and several regions worldwide include areas with highly suitable climatic conditions for R. indica. We observed variations in the density of R. indica in commercial coconut crops, with the highest incidence occurring during the first months of the year. CONCLUSION: Our results showed different alterations in seasonal suitability for R. indica that may provide information for the implementation of methods for time management, such as strategies for sampling and control during periods with a high degree of suitability for R. indica.
650 $aÁcaro
650 $aBanana
650 $aCoco
653 $aEspecie invasora
700 1 $aFIDELIS, E. G.
700 1 $aAMARO, G. C.
700 1 $aRAMOS, R. S.
700 1 $aSANTANA JUNIOR, P. A.
700 1 $aPICANÇO, M. C.
773 $tPest Management Science$gv. 76, n. 11, 2020.
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