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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital; Embrapa Gado de Corte; Embrapa Mandioca e Fruticultura; Embrapa Milho e Sorgo; Embrapa Pantanal; Embrapa Territorial. |
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Data corrente: |
19/09/2023 |
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Data da última atualização: |
19/09/2023 |
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Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
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Autoria: |
TERNES, S.; MOURA, M. F.; SOUZA, K. X. S. de; VAZ, G. J.; OLIVEIRA, S. R. de M.; HIGA, R. H.; LIMA, H. P. de; TAKEMURA, C. M.; COELHO, E. A.; BARBOSA, F. F. L.; VISOLI, M. C.; MENEZES, G. R. de O.; SILVA, L. O. C. da; SANTOS, S. A.; MASSRUHÁ, S. M. F. S.; ABREU, U. G. P. de; SORIANO, B. M. A.; SALIS, S. M.; OLIVEIRA, M. D. de; TOMAS, W. M. |
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Afiliação: |
SONIA TERNES, CNPTIA; MARIA FERNANDA MOURA, CNPTIA; KLEBER XAVIER SAMPAIO DE SOUZA, CNPTIA; GLAUBER JOSE VAZ, CNPTIA; STANLEY ROBSON DE MEDEIROS OLIVEIRA, CNPTIA; ROBERTO HIROSHI HIGA, CNPTIA; HELANO POVOAS DE LIMA, CNPTIA; CELINA MAKI TAKEMURA, CNPM; ENILDA ALVES COELHO, CNPMS; FRANCISCO FERRAZ LARANJEIRA BARBOSA, CNPMF; MARCOS CEZAR VISOLI, CNPTIA; GILBERTO ROMEIRO DE OLIVEIRA MENEZES, CNPGC; LUIZ OTAVIO CAMPOS DA SILVA, CNPGC; SANDRA APARECIDA SANTOS, CPAP; SILVIA MARIA FONSECA S MASSRUHA, CNPTIA; URBANO GOMES PINTO DE ABREU, CPAP; BALBINA MARIA ARAUJO SORIANO, CPAP; SUZANA MARIA DE SALIS, CPAP; MARCIA DIVINA DE OLIVEIRA, CPAP; WALFRIDO MORAES TOMAS, CPAP. |
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Título: |
Scientific computing in agriculture. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
In: MASSRUHÁ, S. M. F. S.; LEITE, M. A. de A.; OLIVEIRA, S. R. de M.; MEIRA, C. A. A.; LUCHIARI JUNIOR, A.; BOLFE, E. L. (ed.). Digital agriculture: research, development and innovation in production chains. Brasília, DF: Embrapa, 2023. cap. 5, p. 92-108. |
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ISBN: |
978-65-89957-72-0 |
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Idioma: |
Inglês |
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Notas: |
Na publicação: Enilda Coelho, Suzana Maria Salis. |
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Conteúdo: |
Introduction. Artificial intelligence: Automatic soil classification; SiBCS-based expert system; Intelligent soil classification system. Text mining in technical-scientific publications. Mathematical and statistical modeling: Modeling the citrus HLB dispersion dynamics; Genetic evaluation of livestock; Sustainable Pantanal Farm; The Sustainable Pantanal Farm software. Final considerations. |
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Palavras-Chave: |
Agricultura digital; Aprendizado de máquina; Computação científica; Digital agriculture; Inteligência artificial; Machine learning; Mineração de textos; Modelagem matemática; Text mining; Transformação digital na agricultura. |
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Thesagro: |
Agricultura; Análise Estatística. |
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Thesaurus Nal: |
Agriculture; Artificial intelligence; Mathematical models; Statistical analysis. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1156747/1/Digital-agriculture-2023-cap5.pdf
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Marc: |
LEADER 02241naa a2200565 a 4500
001 2156747
005 2023-09-19
008 2023 bl uuuu u00u1 u #d
020 $a978-65-89957-72-0
100 1 $aTERNES, S.
245 $aScientific computing in agriculture.$h[electronic resource]
260 $c2023
500 $aNa publicação: Enilda Coelho, Suzana Maria Salis.
520 $aIntroduction. Artificial intelligence: Automatic soil classification; SiBCS-based expert system; Intelligent soil classification system. Text mining in technical-scientific publications. Mathematical and statistical modeling: Modeling the citrus HLB dispersion dynamics; Genetic evaluation of livestock; Sustainable Pantanal Farm; The Sustainable Pantanal Farm software. Final considerations.
650 $aAgriculture
650 $aArtificial intelligence
650 $aMathematical models
650 $aStatistical analysis
650 $aAgricultura
650 $aAnálise Estatística
653 $aAgricultura digital
653 $aAprendizado de máquina
653 $aComputação científica
653 $aDigital agriculture
653 $aInteligência artificial
653 $aMachine learning
653 $aMineração de textos
653 $aModelagem matemática
653 $aText mining
653 $aTransformação digital na agricultura
700 1 $aMOURA, M. F.
700 1 $aSOUZA, K. X. S. de
700 1 $aVAZ, G. J.
700 1 $aOLIVEIRA, S. R. de M.
700 1 $aHIGA, R. H.
700 1 $aLIMA, H. P. de
700 1 $aTAKEMURA, C. M.
700 1 $aCOELHO, E. A.
700 1 $aBARBOSA, F. F. L.
700 1 $aVISOLI, M. C.
700 1 $aMENEZES, G. R. de O.
700 1 $aSILVA, L. O. C. da
700 1 $aSANTOS, S. A.
700 1 $aMASSRUHÁ, S. M. F. S.
700 1 $aABREU, U. G. P. de
700 1 $aSORIANO, B. M. A.
700 1 $aSALIS, S. M.
700 1 $aOLIVEIRA, M. D. de
700 1 $aTOMAS, W. M.
773 $tIn: MASSRUHÁ, S. M. F. S.; LEITE, M. A. de A.; OLIVEIRA, S. R. de M.; MEIRA, C. A. A.; LUCHIARI JUNIOR, A.; BOLFE, E. L. (ed.). Digital agriculture: research, development and innovation in production chains. Brasília, DF: Embrapa, 2023. cap. 5, p. 92-108.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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Registro Completo
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Biblioteca(s): |
Embrapa Semiárido; Embrapa Uva e Vinho. |
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Data corrente: |
06/07/2012 |
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Data da última atualização: |
14/09/2016 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
OLIVEIRA, J. B.; SILVA, G. G.; ARAÚJO, A. J. de B.; LIMA, L. L. de A.; ONO, E. O.; CASTRO, R. de; CRUZ, A.; SANTOS, J.; PEREIRA, G. E. |
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Afiliação: |
Juliane B. OLIVEIRA, Uneb/Embrapa/Capes, Petrolina-PE; Gildeilza G. SILVA, CPATSA (BOLSISTA); Ana J. de B. ARAÚJO, Federal Institute of Pernambuco, Ouricuri-PE; Luciana L. de A. LIMA, Federal Rural University of Pernambuco, , Recife-PE; Elisabeth O. ONO, UNESP; Rogério de CASTRO, Instituto Superior de Agronomia, Lisboa, Portugal; Amândio CRUZ, Instituto Superior de Agronomia, Lisboa, Portugal; João SANTOS, ViniBrasil, Fazenda Planaltino, Lagoa Grande-PE; GIULIANO ELIAS PEREIRA, CNPUV. |
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Título: |
Influence of the vintage, clone and rootstock on the chemical characteristics of Syrah tropical wines from Brazil. |
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Ano de publicação: |
2012 |
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Fonte/Imprenta: |
In: CONGRES DES TERROIRS VITIVINICOLES, 9., 2012, Bourgogne/Champagne. [Annales...] [S.l.: s.n.], 2012. |
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Páginas: |
p. 17-20. |
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Descrição Física: |
1 pendrive. |
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Idioma: |
Inglês |
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Conteúdo: |
In the Northeast of Brazil, vines can produce twice a year, because annual average temperature is 26ºC, with high solar radiation and water availability for irrigation. Many cultivars have been tested according to their adaptation to the climate and soil, and the main variety used for red wines is Syrah. This work aimed to evaluate five clones of Syrah, grafted on two rootstocks, in two harvests of the second semester of 2009 and 2010, according to the chemical analyses of the wines.The clones evaluated were 100, 174, 300, 470 and 525, the rootstocks were Paulsen 1103 and IAC 313 (Golia x Vitis caribeae). Grapes were harvested in November 2009 and 2010 and the yield was evaluated. Climate characteristics of each harvest was determined and correlated to the results. Wines were elaborated in glass tanks of 20 L, with alcoholic fermentation at 25ºC for seven days, then wines were pressed and malolactic fermentation was carried out at 18ºC for 20 days. The following parameters were analyzed: alcohol content, dry extract, total anthocyanins, total phenolic index. High performance liquid chromatography was used to determine tartaric, malic, lactic and citric organic acids. Results showed that wines presented different concentrations of classical analyses, phenolics and organic acids according to the harvest date, rootstocks and clones. Principal component analysis was applied on data and clusters with wine samples were formed, explaining the variability, and results are discussed. |
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Palavras-Chave: |
Brasil; Nordeste Semiárido; Região tropical; Syrah; Vinho tropical; Wine. |
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Thesagro: |
Análise organoléptica; Análise química; Enologia; Uva; Variedade; Vinho. |
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Thesaurus NAL: |
Grapes. |
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Categoria do assunto: |
--
F Plantas e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/61789/1/17-OLIVEIRA.pdf
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/130945/1/49581.pdf
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Marc: |
LEADER 02558nam a2200373 a 4500
001 1927806
005 2016-09-14
008 2012 bl uuuu u00u1 u #d
100 1 $aOLIVEIRA, J. B.
245 $aInfluence of the vintage, clone and rootstock on the chemical characteristics of Syrah tropical wines from Brazil.
260 $aIn: CONGRES DES TERROIRS VITIVINICOLES, 9., 2012, Bourgogne/Champagne. [Annales...] [S.l.: s.n.]$c2012
300 $ap. 17-20.$c1 pendrive.
520 $aIn the Northeast of Brazil, vines can produce twice a year, because annual average temperature is 26ºC, with high solar radiation and water availability for irrigation. Many cultivars have been tested according to their adaptation to the climate and soil, and the main variety used for red wines is Syrah. This work aimed to evaluate five clones of Syrah, grafted on two rootstocks, in two harvests of the second semester of 2009 and 2010, according to the chemical analyses of the wines.The clones evaluated were 100, 174, 300, 470 and 525, the rootstocks were Paulsen 1103 and IAC 313 (Golia x Vitis caribeae). Grapes were harvested in November 2009 and 2010 and the yield was evaluated. Climate characteristics of each harvest was determined and correlated to the results. Wines were elaborated in glass tanks of 20 L, with alcoholic fermentation at 25ºC for seven days, then wines were pressed and malolactic fermentation was carried out at 18ºC for 20 days. The following parameters were analyzed: alcohol content, dry extract, total anthocyanins, total phenolic index. High performance liquid chromatography was used to determine tartaric, malic, lactic and citric organic acids. Results showed that wines presented different concentrations of classical analyses, phenolics and organic acids according to the harvest date, rootstocks and clones. Principal component analysis was applied on data and clusters with wine samples were formed, explaining the variability, and results are discussed.
650 $aGrapes
650 $aAnálise organoléptica
650 $aAnálise química
650 $aEnologia
650 $aUva
650 $aVariedade
650 $aVinho
653 $aBrasil
653 $aNordeste Semiárido
653 $aRegião tropical
653 $aSyrah
653 $aVinho tropical
653 $aWine
700 1 $aSILVA, G. G.
700 1 $aARAÚJO, A. J. de B.
700 1 $aLIMA, L. L. de A.
700 1 $aONO, E. O.
700 1 $aCASTRO, R. de
700 1 $aCRUZ, A.
700 1 $aSANTOS, J.
700 1 $aPEREIRA, G. E.
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Embrapa Uva e Vinho (CNPUV) |
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