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| Registros recuperados : 27 | |
| 9. |  | CAMARA, G.; CASANOVA, M. A.; HEMERLY, A. S.; MAGALHÃES, G. C.; MEDEIROS, C. M. B. Anatomia de sistemas de informação geográfica. Campinas: UNICAMP, Instituto de Computação, 1996. 193 p. Trabalho apresentado na Escola de Computação, 10., 1996, Campinas.| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Solos. |
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| 20. | | AIRES, R. F.; MEDEIROS, C. M. O.; CARGNELUTTI FILHO, A.; EMYGDIO, B. M.; SANTOS, F. M.; MACHADO, J. R. de A.; CARRAFFA, M.; SCARPARO, F. Ensaio Estadual de híbridos de milho safra 2013/14. In: REUNIÃO TÉCNICA ANUAL DO MILHO, 59.; REUNIÃO TÉCNICA ANUAL DO SORGO, 42., 2014, Três de Maio. Atas e artigos. Três de Maio: EMATER/RS: FEPAGRO: SETREM, 2014. p. 48-49.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| Registros recuperados : 27 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Recursos Genéticos e Biotecnologia; Embrapa Roraima. |
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Data corrente: |
09/11/2022 |
|
Data da última atualização: |
09/11/2022 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
AMARO, G. C.; FIDELIS, E. G.; MEDEIROS, C. M.; SILVA, R. S. da. |
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Afiliação: |
GEORGE CORREA AMARO, CPAF-RR; ELISANGELA GOMES FIDELIS, Cenargen; CRISTIAN MADEIRA DE MEDEIROS UNIVERSIDAD DE SALAMANCA, UNIVERSIDAD DE SALAMANCA; RICARDO SIQUEIRA DA SILVA, UNIVERSIDADE FEDERAL DOS VALES DO JEQUITINHONHA E MUCURI. |
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Título: |
Risk analysis of the spread of the quarantine pest mite Schizotetranychus hindustanicus in Brazil. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Experimental and Applied Acarology, nov., 2022. |
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DOI: |
https://doi.org/10.1007/s10493-022-00760-5 |
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Idioma: |
Inglês |
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Conteúdo: |
Schizotetranychus hindustanicus Hirst (Acari: Tetranychidae) known as the Hindustan citrus mite, is a quarantine pest present in Roraima, Brazil. In 1924 this pest was described in India. It was reported in 2002 in Venezuela and in Roraima in 2008. In 2010, the Hindustan citrus mite was reported in Colombia. It is possible that it will be introduced in other areas of Brazil, resulting in a threat to Brazilian citrus industry. Our objective was to determine the most suitable regions of Brazil for S. hindustanicus using a maximum entropy (Max‑ ent) algorithm, based on native and invasive updated occurrence records from published research, field surveys and online databases. To avoid overfitting and improving transfer‑ ability, we chose parameter settings of Maxent to construct and validate models by searching for the best combination of feature classes and regularization multipliers. The model obtained showed excellent performance according to all evaluation metrics used. A high potential for the establishment of S. hindustanicus was identified in large areas of Roraima, the extreme west of Amazonas, the entire north of the State of Pará, also in northeast, south, east, and north of the State of Amapá, and in a small portion northwest of the State of Maranhão (all states belonging to the northern region of Brazil). Our results provide information for policy making and quarantine measures, especially where S. hindustanicus is still absent in Brazil. |
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Palavras-Chave: |
Ecological niche modeling; Environmental modeling; Hindustan citrus mite; Maxent. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1148147/1/s10493-022-00760-5.pdf
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Marc: |
LEADER 02177naa a2200217 a 4500
001 2148147
005 2022-11-09
008 2022 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1007/s10493-022-00760-5$2DOI
100 1 $aAMARO, G. C.
245 $aRisk analysis of the spread of the quarantine pest mite Schizotetranychus hindustanicus in Brazil.$h[electronic resource]
260 $c2022
520 $aSchizotetranychus hindustanicus Hirst (Acari: Tetranychidae) known as the Hindustan citrus mite, is a quarantine pest present in Roraima, Brazil. In 1924 this pest was described in India. It was reported in 2002 in Venezuela and in Roraima in 2008. In 2010, the Hindustan citrus mite was reported in Colombia. It is possible that it will be introduced in other areas of Brazil, resulting in a threat to Brazilian citrus industry. Our objective was to determine the most suitable regions of Brazil for S. hindustanicus using a maximum entropy (Max‑ ent) algorithm, based on native and invasive updated occurrence records from published research, field surveys and online databases. To avoid overfitting and improving transfer‑ ability, we chose parameter settings of Maxent to construct and validate models by searching for the best combination of feature classes and regularization multipliers. The model obtained showed excellent performance according to all evaluation metrics used. A high potential for the establishment of S. hindustanicus was identified in large areas of Roraima, the extreme west of Amazonas, the entire north of the State of Pará, also in northeast, south, east, and north of the State of Amapá, and in a small portion northwest of the State of Maranhão (all states belonging to the northern region of Brazil). Our results provide information for policy making and quarantine measures, especially where S. hindustanicus is still absent in Brazil.
653 $aEcological niche modeling
653 $aEnvironmental modeling
653 $aHindustan citrus mite
653 $aMaxent
700 1 $aFIDELIS, E. G.
700 1 $aMEDEIROS, C. M.
700 1 $aSILVA, R. S. da
773 $tExperimental and Applied Acarology, nov., 2022.
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Registro original: |
Embrapa Roraima (CPAF-RR) |
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