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Registro Completo |
Biblioteca(s): |
Embrapa Tabuleiros Costeiros. |
Data corrente: |
28/04/2010 |
Data da última atualização: |
27/01/2023 |
Tipo da produção científica: |
Artigo em Anais de Congresso / Nota Técnica |
Autoria: |
PACHECO, C. A. P.; CARVALHO, H. W. L. de; CARDOSO, M. J.; ROCHA, L. M. P. da; OLIVEIRA, I. R. de; TABOSA, J. N.; MELO, K. E. de O. |
Afiliação: |
CLESO ANTONIO PATTO PACHECO, CPATC; HELIO WILSON LEMOS DE CARVALHO, CPATC; MILTON JOSE CARDOSO, CPAMN; LEONARDO MELO PEREIRA DA ROCHA, CNPMS; IVENIO RUBENS DE OLIVEIRA, CPATC; JOSÉ NILDO TABOSA, IPA; KÁTIA ESTELINA DE OLIVEIRA MELO. |
Título: |
Adaptabilidade e estabilidade de cultivares de milho no Nordeste Brasileiro no biênio 2007-2008. |
Ano de publicação: |
2009 |
Fonte/Imprenta: |
In: CONGRESSO BRASILEIRO DE MELHORAMENTO DE PLANTAS, 5., 2009, Vitória. O melhoramento e os novos cenários da agricultura: anais. Vitória: Incaper, 2009. 1CD-ROM. Plantas anuais. |
Descrição Física: |
Artigo em anais. pdf 2757. |
Idioma: |
Português |
Conteúdo: |
O objetivo deste trabalho foi estimar os parâmetros de adaptabilidade e estabilidade de vinte cultivares de milho em vinte e sete ambientes do Nordeste brasileiro, no biênio 2007-2008, para fins de recomendação. Utilizou-se o delineamento experimental em blocos ao acaso, com duas repetições. Estimaram-se os parâmetros de adaptabilidade e estabilidade conforme Cruz et al., (1989). As cultivares avaliadas evidenciaram diferenças nos ambientes desfavoráveis. Os híbridos Agromen 31 A 31, Agromen 35 A 42, Agromen 3150, BRS 1035, BM 1120 e SHS 4050 e a variedade São Francisco destacam-se para os ambientes de melhor tecnificação. |
Thesagro: |
Milho. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/245880/1/Adaptabilidade-e-estabilidadede-cultivares-de-milho.2009.pdf.2757.pdf
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Marc: |
LEADER 01402nam a2200205 a 4500 001 1747853 005 2023-01-27 008 2009 bl uuuu u00u1 u #d 100 1 $aPACHECO, C. A. P. 245 $aAdaptabilidade e estabilidade de cultivares de milho no Nordeste Brasileiro no biênio 2007-2008. 260 $aIn: CONGRESSO BRASILEIRO DE MELHORAMENTO DE PLANTAS, 5., 2009, Vitória. O melhoramento e os novos cenários da agricultura: anais. Vitória: Incaper, 2009. 1CD-ROM. Plantas anuais.$c2009 300 $cArtigo em anais. pdf 2757. 520 $aO objetivo deste trabalho foi estimar os parâmetros de adaptabilidade e estabilidade de vinte cultivares de milho em vinte e sete ambientes do Nordeste brasileiro, no biênio 2007-2008, para fins de recomendação. Utilizou-se o delineamento experimental em blocos ao acaso, com duas repetições. Estimaram-se os parâmetros de adaptabilidade e estabilidade conforme Cruz et al., (1989). As cultivares avaliadas evidenciaram diferenças nos ambientes desfavoráveis. Os híbridos Agromen 31 A 31, Agromen 35 A 42, Agromen 3150, BRS 1035, BM 1120 e SHS 4050 e a variedade São Francisco destacam-se para os ambientes de melhor tecnificação. 650 $aMilho 700 1 $aCARVALHO, H. W. L. de 700 1 $aCARDOSO, M. J. 700 1 $aROCHA, L. M. P. da 700 1 $aOLIVEIRA, I. R. de 700 1 $aTABOSA, J. N. 700 1 $aMELO, K. E. de O.
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Embrapa Tabuleiros Costeiros (CPATC) |
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Registro Completo
Biblioteca(s): |
Embrapa Recursos Genéticos e Biotecnologia; Embrapa Roraima. |
Data corrente: |
25/08/2021 |
Data da última atualização: |
15/09/2021 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 2 |
Autoria: |
AMARO, G. C.; FIDELIS, E. G.; SILVA, R. S. da; MEDEIROS, C. M. de. |
Afiliação: |
GEORGE CORREA AMARO, CPAF-RR; ELISANGELA GOMES FIDELIS, CPAC. |
Título: |
Current and potential geographic distribution of red palm mite (Raoiella indica Hirst) in Brazil. |
Ano de publicação: |
2021 |
Fonte/Imprenta: |
Ecological Informatics, v. 65, 2021. |
Idioma: |
Inglês |
Conteúdo: |
The red palm mite, Raoiella indica Hirst, is the most invasive pest, having spread quickly to several countries. In Brazil it is already present in several regions and has a high potential for dispersion to other regions, which could severely affect the cultivation of coconuts, bananas, native and exotic palm trees, and tropical flowers, such as those of the Heliconiaceae family. Thus, we aimed to determine the regions of Brazil most prone to the occurrence of R. indica using Maxent with updated data on its occurrence and a selection of bioclimatic variables that may influence its establishment. The occurrence data used were obtained through a literature search, online databases, and surveys carried out in the field. The model indicated a high potential for the establishment of R. indica in the following locations: a large part of the State of Roraima, the eastern part of the State of Amazonas, the northern and central-western parts of the State of Par´a, and parts of the states of Acre and Amap´a (North Region); the coast of Brazil from Rio Grande do Norte to the states of Paraíba, Pernanbuco, Alagoas, Sergipe and Bahia (Northeast Region); the states of Rio de Janeiro and Espírito Santo, the far east of Minas Gerais, and almost the entire state of S?ao Paulo, except the northern part (Southeast Region); most of the State of Mato Grosso do Sul and the most southern portion of the State of Mato Grosso (Midwest Region); and the northern part of the State of Paran´a and small parts of the states of Santa Catarina and Rio Grande do Sul (South Region). The bioclimatic variables that most influenced the potential geographical distribution of R. indica were precipitation of driest month (Bio14), precipitation of wettest month (Bio13), mean diurnal range (Bio2), and isothermality (Bio3). The parameterization for the Maxent model provides an updated model to prevention invasion of R. indica due updated data on its occurrence used. Thus, potential geographic distribution of R. indica in Brazil should be consider from this study. MenosThe red palm mite, Raoiella indica Hirst, is the most invasive pest, having spread quickly to several countries. In Brazil it is already present in several regions and has a high potential for dispersion to other regions, which could severely affect the cultivation of coconuts, bananas, native and exotic palm trees, and tropical flowers, such as those of the Heliconiaceae family. Thus, we aimed to determine the regions of Brazil most prone to the occurrence of R. indica using Maxent with updated data on its occurrence and a selection of bioclimatic variables that may influence its establishment. The occurrence data used were obtained through a literature search, online databases, and surveys carried out in the field. The model indicated a high potential for the establishment of R. indica in the following locations: a large part of the State of Roraima, the eastern part of the State of Amazonas, the northern and central-western parts of the State of Par´a, and parts of the states of Acre and Amap´a (North Region); the coast of Brazil from Rio Grande do Norte to the states of Paraíba, Pernanbuco, Alagoas, Sergipe and Bahia (Northeast Region); the states of Rio de Janeiro and Espírito Santo, the far east of Minas Gerais, and almost the entire state of S?ao Paulo, except the northern part (Southeast Region); most of the State of Mato Grosso do Sul and the most southern portion of the State of Mato Grosso (Midwest Region); and the northern part of the State of Paran´a and small p... Mostrar Tudo |
Palavras-Chave: |
Ecological niche modeling; Environmental modeling; Raoiella indica. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/225457/1/1-s2.0-S1574954121001874-main.pdf
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Marc: |
LEADER 02649naa a2200193 a 4500 001 2133841 005 2021-09-15 008 2021 bl uuuu u00u1 u #d 100 1 $aAMARO, G. C. 245 $aCurrent and potential geographic distribution of red palm mite (Raoiella indica Hirst) in Brazil.$h[electronic resource] 260 $c2021 520 $aThe red palm mite, Raoiella indica Hirst, is the most invasive pest, having spread quickly to several countries. In Brazil it is already present in several regions and has a high potential for dispersion to other regions, which could severely affect the cultivation of coconuts, bananas, native and exotic palm trees, and tropical flowers, such as those of the Heliconiaceae family. Thus, we aimed to determine the regions of Brazil most prone to the occurrence of R. indica using Maxent with updated data on its occurrence and a selection of bioclimatic variables that may influence its establishment. The occurrence data used were obtained through a literature search, online databases, and surveys carried out in the field. The model indicated a high potential for the establishment of R. indica in the following locations: a large part of the State of Roraima, the eastern part of the State of Amazonas, the northern and central-western parts of the State of Par´a, and parts of the states of Acre and Amap´a (North Region); the coast of Brazil from Rio Grande do Norte to the states of Paraíba, Pernanbuco, Alagoas, Sergipe and Bahia (Northeast Region); the states of Rio de Janeiro and Espírito Santo, the far east of Minas Gerais, and almost the entire state of S?ao Paulo, except the northern part (Southeast Region); most of the State of Mato Grosso do Sul and the most southern portion of the State of Mato Grosso (Midwest Region); and the northern part of the State of Paran´a and small parts of the states of Santa Catarina and Rio Grande do Sul (South Region). The bioclimatic variables that most influenced the potential geographical distribution of R. indica were precipitation of driest month (Bio14), precipitation of wettest month (Bio13), mean diurnal range (Bio2), and isothermality (Bio3). The parameterization for the Maxent model provides an updated model to prevention invasion of R. indica due updated data on its occurrence used. Thus, potential geographic distribution of R. indica in Brazil should be consider from this study. 653 $aEcological niche modeling 653 $aEnvironmental modeling 653 $aRaoiella indica 700 1 $aFIDELIS, E. G. 700 1 $aSILVA, R. S. da 700 1 $aMEDEIROS, C. M. de 773 $tEcological Informatics$gv. 65, 2021.
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