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 | Acesso ao texto completo restrito à biblioteca da Embrapa Pecuária Sul. Para informações adicionais entre em contato com cppsul.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital; Embrapa Pecuária Sul. |
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Data corrente: |
09/01/2018 |
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Data da última atualização: |
07/01/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
FERREIRA, L. M.; SILVA, J. de A.; SANT'ANA, G. C.; CANÇADO, G. M. de A.; BORÉM, A.; FERREIRA, J. L. |
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Afiliação: |
LEILA MARIA FERREIRA, Ufla; JANAÍNA DE ANDRADE SILVA, UFJF; GUSTAVO CÉSAR SANT’ANA, Agronomic Research for Development, France; GERALDO MAGELA DE ALMEIDA CANCADO, CNPTIA; ALUÍZIO BORÉM, UFV; JULIANO LINO FERREIRA, CPPSUL. |
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Título: |
Application of artificial neural networks in the simulation with genetic data. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
International Journal of Engineering Inventions, v. 6, n. 12, p. 43-46, Dec. 2017. |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract: The objective of this work was the concept of applying artificial neural networks in the study of genetic data, in order to make the identification of the microsatellite markers for a particular species of plant to be analyzed more efficient. In this study, was used as an experimental model the data generated for 26 grapevine genotypes were divided into the following populations: Vitis vinifera; North American varieties; and intersp ecific hybrid of rootstocks. After the network training was carried out, an error rate of 0.0003460 was obtained, concluding that the network was able to learn according to the type of data used, even when these data are small. |
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Palavras-Chave: |
Grapevine; Network; Redes neurais. |
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Thesagro: |
Genética; Genótipo. |
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Thesaurus Nal: |
Genotype; Neural networks. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 01433naa a2200265 a 4500
001 2084780
005 2020-01-07
008 2017 bl uuuu u00u1 u #d
100 1 $aFERREIRA, L. M.
245 $aApplication of artificial neural networks in the simulation with genetic data.$h[electronic resource]
260 $c2017
520 $aAbstract: The objective of this work was the concept of applying artificial neural networks in the study of genetic data, in order to make the identification of the microsatellite markers for a particular species of plant to be analyzed more efficient. In this study, was used as an experimental model the data generated for 26 grapevine genotypes were divided into the following populations: Vitis vinifera; North American varieties; and intersp ecific hybrid of rootstocks. After the network training was carried out, an error rate of 0.0003460 was obtained, concluding that the network was able to learn according to the type of data used, even when these data are small.
650 $aGenotype
650 $aNeural networks
650 $aGenética
650 $aGenótipo
653 $aGrapevine
653 $aNetwork
653 $aRedes neurais
700 1 $aSILVA, J. de A.
700 1 $aSANT'ANA, G. C.
700 1 $aCANÇADO, G. M. de A.
700 1 $aBORÉM, A.
700 1 $aFERREIRA, J. L.
773 $tInternational Journal of Engineering Inventions$gv. 6, n. 12, p. 43-46, Dec. 2017.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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Biblioteca(s): |
Embrapa Agroindústria de Alimentos. |
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Data corrente: |
08/12/2016 |
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Data da última atualização: |
08/12/2016 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
SILVA-JAMES, N. K.; FERREIRA, M. J. A.; NOGUEIRA, R. I.; FREITAS, S. P.; NASCIMENTO, L. da S. de M. do. |
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Afiliação: |
N. K. Silva-James, UFRJ; M. J. A. Ferreira, UFRJ; REGINA ISABEL NOGUEIRA, CTAA; S. P. Freitas, UFRJ; LUZIMAR DA SILVA DE M DO NASCIMENTO, CTAA. |
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Título: |
Identification of phenolic compounds in pomegranate (Punica Granatum) seeds and soybean (Glicine Max) oils and its stabilization by spray drying. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
In: CONGRESSO BRASILEIRO DE CIÊNCIA E TECNOLOGIA DE ALIMENTOS, 25.; CIGR SESSION 6 INTERNATIONAL TECHNICAL SYMPOSIUM, 10., 2016, Gramado. Alimentação: árvore que sustenta a vida. Anais. Gramado: SBCTA Regional, 2016. |
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Páginas: |
6 p. |
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Idioma: |
Inglês |
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Notas: |
Food: the tree that sustains life. |
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Conteúdo: |
Pomegranate seed oil (PSO), even though highly sensitive to oxidation, has been extensively studied due to its bioactive potentials, assigned to the punicic acid, a polyunsaturated fatty acid, and several phenolic compounds. Combined with soybean oil (SO) we get an affordable product, rich in essential fatty acids. In this study we evaluate PSO and SO for phenolic and fatty acids compositions and encapsulate it by spray drying to increase its shelf life. Modified starch, maltodextrin and gum arabic are evaluated by a mixture design to get the better wall material composition. The content of punicic, a conjugated linolenic acid, and linoleic acids in PSO and SO were, respectively 75% and 54%. As expected, the phenolic acids were found at low concentration in PSO and SO, but in high content in pressing cake. The better response for spray drying process yield and oxidative stability were achieved at using modified starch and gum arabic at the same proportion as wall material. |
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Palavras-Chave: |
Pomegranate seed oil. |
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Thesaurus NAL: |
fatty acids; microencapsulation; phenolic acids. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/151480/1/306-phenolicos-oleo-roma.pdf
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Marc: |
LEADER 01929nam a2200229 a 4500
001 2058270
005 2016-12-08
008 2016 bl uuuu u00u1 u #d
100 1 $aSILVA-JAMES, N. K.
245 $aIdentification of phenolic compounds in pomegranate (Punica Granatum) seeds and soybean (Glicine Max) oils and its stabilization by spray drying.$h[electronic resource]
260 $aIn: CONGRESSO BRASILEIRO DE CIÊNCIA E TECNOLOGIA DE ALIMENTOS, 25.; CIGR SESSION 6 INTERNATIONAL TECHNICAL SYMPOSIUM, 10., 2016, Gramado. Alimentação: árvore que sustenta a vida. Anais. Gramado: SBCTA Regional$c2016
300 $a6 p.
500 $aFood: the tree that sustains life.
520 $aPomegranate seed oil (PSO), even though highly sensitive to oxidation, has been extensively studied due to its bioactive potentials, assigned to the punicic acid, a polyunsaturated fatty acid, and several phenolic compounds. Combined with soybean oil (SO) we get an affordable product, rich in essential fatty acids. In this study we evaluate PSO and SO for phenolic and fatty acids compositions and encapsulate it by spray drying to increase its shelf life. Modified starch, maltodextrin and gum arabic are evaluated by a mixture design to get the better wall material composition. The content of punicic, a conjugated linolenic acid, and linoleic acids in PSO and SO were, respectively 75% and 54%. As expected, the phenolic acids were found at low concentration in PSO and SO, but in high content in pressing cake. The better response for spray drying process yield and oxidative stability were achieved at using modified starch and gum arabic at the same proportion as wall material.
650 $afatty acids
650 $amicroencapsulation
650 $aphenolic acids
653 $aPomegranate seed oil
700 1 $aFERREIRA, M. J. A.
700 1 $aNOGUEIRA, R. I.
700 1 $aFREITAS, S. P.
700 1 $aNASCIMENTO, L. da S. de M. do
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