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Registros recuperados : 6 | |
1. | | BASSO, T.; GOMES, R. da C.; DIAS, F. R. T.; CARROMEU, C.; CAGNIN, M. I.; PAIVA, D. M. B. Desenvolvimento da Plataforma +Precoce para simulação de sistemas de produção de novilho precoce. In: CONGRESSO BRASILEIRO DE SOFTWARE, 9., 2018, São Carlos, SP. Anais... São Carlos: Universidade de São Paulo, 2018. CBSoft. Biblioteca(s): Embrapa Pantanal. |
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2. | | BASSO, T.; GOMES, R. da C.; DIAS, F. R. T.; CARROMEU, C.; CAGNIN, M. I.; PAIVA, D. M. B. Desenvolvimento da Plataforma +Precoce para Simulação de Sistemas de Produção de Novilho Precoce. In: TRILHA DA INDÚSTRIA DO CBSoft, 9., 2018, São Carlos, SP. Anais... São Carlos: Universidade de São Paulo, 2018. 39 p. editado por Thiago Gottardi. CBSoft. Biblioteca(s): Embrapa Gado de Corte. |
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3. | | ABREU, R. A. F.; BASSO, T.; CARROMEU, C.; GOMES, R. da C.; DIAS, F. R. T.; PAIVA, D. M. B. Simulação de sistemas de produção de novilho precoce: uma aplicação prática. In: CONGRESSO BRASILEIRO DE AGROINFORMÁTICA, 13., 2021, Bagé. Anais... Bagé: Universidade Federal do Pampa, 2021. p. 292-300. SBIAGRO 2021. Biblioteca(s): Embrapa Gado de Corte; Embrapa Pantanal. |
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5. | | LUIZ, O. J.; WEBER, V. A. de M.; CAGNIN, M. I.; MEDEIROS, S. R. de; GOMES, R. da C.; SOUZA, L. C. de; PAIVA, D. M. B. Computational system to support bovine nutritional behavior. International Journal of Agricultural and Environmental Information Systems V, 9, n. 3, p. 22-37, July-September 2018 Biblioteca(s): Embrapa Gado de Corte. |
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6. | | WEBER, F. de L.; WEBER, V. A. de M; MORAES, P. H. de; MATSUBARA, E. T.; PAIVA, D. M. B.; GOMES, M. de N. B.; OLIVEIRA, L. O. F. de; MEDEIROS, S. R. de; CAGNIN, M. I. Counting cattle in UAV images using convolutional neural network. Remote Sensing Applications: Society and Environment, v. 29, article 100900, 2023. Biblioteca(s): Embrapa Gado de Corte; Embrapa Pecuária Sudeste. |
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Registros recuperados : 6 | |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Florestas. Para informações adicionais entre em contato com cnpf.biblioteca@embrapa.br. |
Registro Completo
Biblioteca(s): |
Embrapa Florestas. |
Data corrente: |
08/02/2013 |
Data da última atualização: |
19/02/2015 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
B - 1 |
Autoria: |
QUEIROZ, D. L. de; MAJER, J.; BURCKHARDT, D.; ZANETTI, R.; FERNANDEZ, J. I. R.; QUEIROZ, E. C. de; GARRASTAZU, M. C.; FERNANDES, B. V.; ANJOS, N. dos. |
Afiliação: |
DALVA LUIZ DE QUEIROZ, CNPF; Jonathan Majer, Curtin University, Perth, Australia; Daniel Burckhardt, Naturhistorisches Museum, Augustinergasse; Ronald Zanetti, UFLA; Jaime Ivan R Fernandez, UFPR; Elisiane Castro de Queiroz, UFPR; MARILICE CORDEIRO GARRASTAZU, CNPF; Bianca Vique Fernandes, V&M Florestal; Norivaldo dos Anjos, UFV. |
Título: |
Predicting the geographical distribution of Glycaspis brimblecombei (Hemiptera: Psylloidea) in Brazil. |
Ano de publicação: |
2013 |
Fonte/Imprenta: |
Australian Journal of Entomology, v. 52, p. 20-30, 2013. |
Idioma: |
Inglês |
Conteúdo: |
The red gum lerp psyllid, Glycaspis brimblecombei Moore, has been introduced from Australia into several countries, mostly in the Americas and Europe. It was first discovered in Brazil in 2003 and has continued to spread there. Today, the species is a major pest in eucalypt plantations and often requires expensive control measures. Ecological modelling is used here to estimate the potential spread of G. brimblecombeii, worldwide and particularly in Brazil, based on environmental variables from 502 records of G. brimblecombei around the world. Distribution data from Australia were obtained from the literature and recent field surveys. For the first time, G. brimblecombei is recorded from Western Australia. Through the Openmodeller® program interface, 22 bioclimatic variables were used to test the efficacy of the following models: BIOCLIM, Climate Space Model, Envelope Score, Environmental Distance, GARP with best subsets (new Openmodeller implementation), GARP new Openmodeller implementation, GARP best subsets (Desktop GARP implementation), Niche Mosaic and Support Vector Machines. Among these models, Environmental Distance was the best predictor for the potential distribution of G. brimblecombei in new regions. Temperate areas appeared to be more favourable for G. brimblecombei. Regions with highest probability of occurrence in Brazil, in hierarchical order are: the southern part of the Atlantic Forest, Pampa, Caatinga and Cerrado. This modelling procedure provides a useful tool that should be incorporated in future strategies for pest management in eucalypt plantations. MenosThe red gum lerp psyllid, Glycaspis brimblecombei Moore, has been introduced from Australia into several countries, mostly in the Americas and Europe. It was first discovered in Brazil in 2003 and has continued to spread there. Today, the species is a major pest in eucalypt plantations and often requires expensive control measures. Ecological modelling is used here to estimate the potential spread of G. brimblecombeii, worldwide and particularly in Brazil, based on environmental variables from 502 records of G. brimblecombei around the world. Distribution data from Australia were obtained from the literature and recent field surveys. For the first time, G. brimblecombei is recorded from Western Australia. Through the Openmodeller® program interface, 22 bioclimatic variables were used to test the efficacy of the following models: BIOCLIM, Climate Space Model, Envelope Score, Environmental Distance, GARP with best subsets (new Openmodeller implementation), GARP new Openmodeller implementation, GARP best subsets (Desktop GARP implementation), Niche Mosaic and Support Vector Machines. Among these models, Environmental Distance was the best predictor for the potential distribution of G. brimblecombei in new regions. Temperate areas appeared to be more favourable for G. brimblecombei. Regions with highest probability of occurrence in Brazil, in hierarchical order are: the southern part of the Atlantic Forest, Pampa, Caatinga and Cerrado. This modelling procedure provides a useful ... Mostrar Tudo |
Palavras-Chave: |
Pslídeo. |
Thesagro: |
Eucalipto; Praga. |
Thesaurus NAL: |
Glycaspis brimblecombei. |
Categoria do assunto: |
-- |
Marc: |
LEADER 02372naa a2200265 a 4500 001 1948887 005 2015-02-19 008 2013 bl uuuu u00u1 u #d 100 1 $aQUEIROZ, D. L. de 245 $aPredicting the geographical distribution of Glycaspis brimblecombei (Hemiptera$bPsylloidea) in Brazil.$h[electronic resource] 260 $c2013 520 $aThe red gum lerp psyllid, Glycaspis brimblecombei Moore, has been introduced from Australia into several countries, mostly in the Americas and Europe. It was first discovered in Brazil in 2003 and has continued to spread there. Today, the species is a major pest in eucalypt plantations and often requires expensive control measures. Ecological modelling is used here to estimate the potential spread of G. brimblecombeii, worldwide and particularly in Brazil, based on environmental variables from 502 records of G. brimblecombei around the world. Distribution data from Australia were obtained from the literature and recent field surveys. For the first time, G. brimblecombei is recorded from Western Australia. Through the Openmodeller® program interface, 22 bioclimatic variables were used to test the efficacy of the following models: BIOCLIM, Climate Space Model, Envelope Score, Environmental Distance, GARP with best subsets (new Openmodeller implementation), GARP new Openmodeller implementation, GARP best subsets (Desktop GARP implementation), Niche Mosaic and Support Vector Machines. Among these models, Environmental Distance was the best predictor for the potential distribution of G. brimblecombei in new regions. Temperate areas appeared to be more favourable for G. brimblecombei. Regions with highest probability of occurrence in Brazil, in hierarchical order are: the southern part of the Atlantic Forest, Pampa, Caatinga and Cerrado. This modelling procedure provides a useful tool that should be incorporated in future strategies for pest management in eucalypt plantations. 650 $aGlycaspis brimblecombei 650 $aEucalipto 650 $aPraga 653 $aPslídeo 700 1 $aMAJER, J. 700 1 $aBURCKHARDT, D. 700 1 $aZANETTI, R. 700 1 $aFERNANDEZ, J. I. R. 700 1 $aQUEIROZ, E. C. de 700 1 $aGARRASTAZU, M. C. 700 1 $aFERNANDES, B. V. 700 1 $aANJOS, N. dos 773 $tAustralian Journal of Entomology$gv. 52, p. 20-30, 2013.
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