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Registro Completo |
Biblioteca(s): |
Embrapa Milho e Sorgo. |
Data corrente: |
17/01/2005 |
Data da última atualização: |
30/05/2018 |
Tipo da produção científica: |
Resumo em Anais de Congresso |
Autoria: |
GUIMARAES, P. E. de O.; LOPES, M. A. |
Afiliação: |
PAULO EVARISTO DE O GUIMARAES, CNPMS. |
Título: |
Metodologia para conversão de genótipos de milho em endosperma normal para QPM. |
Ano de publicação: |
1995 |
Fonte/Imprenta: |
Revista Brasileira de Genética, Ribeirão Preto, v. 18. n. 3, p. 93, set. 1995. |
Idioma: |
Português |
Notas: |
Suplemento. Edição dos resumos do 41º Congresso Nacional de Genética, Caxambu, MG, 1995. |
Conteúdo: |
x |
Thesagro: |
Genótipo; Zea mays. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/73122/1/Metodologia-conversao.pdf
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Marc: |
LEADER 00592nam a2200157 a 4500 001 1488613 005 2018-05-30 008 1995 bl uuuu u00u1 u #d 100 1 $aGUIMARAES, P. E. de O. 245 $aMetodologia para conversão de genótipos de milho em endosperma normal para QPM.$h[electronic resource] 260 $aRevista Brasileira de Genética, Ribeirão Preto, v. 18. n. 3, p. 93, set. 1995.$c1995 500 $aSuplemento. Edição dos resumos do 41º Congresso Nacional de Genética, Caxambu, MG, 1995. 520 $ax 650 $aGenótipo 650 $aZea mays 700 1 $aLOPES, M. A.
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Embrapa Milho e Sorgo (CNPMS) |
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Registro Completo
Biblioteca(s): |
Embrapa Unidades Centrais. |
Data corrente: |
06/03/2014 |
Data da última atualização: |
05/07/2017 |
Autoria: |
MILIVOJEVIC, J.; RAKONJAC, V.; AKSIC, M. F.; PRISTOV, J. B.; MAKSIMOVIC, V. |
Afiliação: |
Jasminka Milivojevic, University of Belgrade, Faculty of Agriculture, Nemanjina; Vera Rakonjac, University of Belgrade, Faculty of Agriculture, Nemanjina; Milica Fotiri? Aksic, University of Belgrade, Faculty of Agriculture, Nemanjina; Jelena Bogdanovic Pristov, University of Belgrade, Institute for Multidisciplinary Research; Vuk Maksimovic, University of Belgrade, Institute for Multidisciplinary Research. |
Título: |
Classification and fingerprinting of different berries based on biochemical profiling and antioxidant capacity. |
Ano de publicação: |
2013 |
Fonte/Imprenta: |
Pesquisa Agropecuária Brasileira, Brasília, DF, v. 48, n. 9, p. 1285-1294, set. 2013. |
Idioma: |
Inglês |
Notas: |
Título em português: Classificação e diversidade de pequenas frutas quanto ao perfil bioquímico e capacidade antioxidante. |
Conteúdo: |
The objective of this work was to evaluate the biochemical composition of six berry types belonging to Fragaria, Rubus, Vaccinium and Ribes genus. Fruit samples were collected in triplicate (50 fruit each) from 18 different species or cultivars of the mentioned genera, during three years (2008 to 2010). Content of individual sugars, organic acids, flavonols, and phenolic acids were determined by high performance liquid chromatography (HPLC) analysis, while total phenolics (TPC) and total antioxidant capacity (TAC), by using spectrophotometry. Principal component analysis (PCA) and hierarchical cluster analysis (CA) were performed to evaluate the differences in fruit biochemical profile. The highest contents of bioactive components were found in Ribes nigrum and in Fragaria vesca, Rubus plicatus, and Vaccinium myrtillus. PCA and CA were able to partially discriminate between berries on the basis of their biochemical composition. Individual and total sugars, myricetin, ellagic acid, TPC and TAC showed the highest impact on biochemical composition of the berry fruits. CA separated blackberry, raspberry, and blueberry as isolate groups, while classification of strawberry, black and red currant in a specific group has not occurred. There is a large variability both between and within the different types of berries. Metabolite fingerprinting of the evaluated berries showed unique biochemical profiles and specific combination of bioactive compound contents. |
Palavras-Chave: |
Composto bioativo; Identificação de metabólitos; Metabolite fingerprinting; Nutraceuticals; Nutracêutico; Pequena fruta; Small frutis. |
Thesagro: |
Método estatístico. |
Thesaurus NAL: |
Bioactive compounds; Functional foods; Multivariate analysis. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/98618/1/Classification-and-fingerprinting.pdf
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Marc: |
LEADER 02550naa a2200313 a 4500 001 1981660 005 2017-07-05 008 2013 bl uuuu u00u1 u #d 100 1 $aMILIVOJEVIC, J. 245 $aClassification and fingerprinting of different berries based on biochemical profiling and antioxidant capacity. 260 $c2013 500 $aTítulo em português: Classificação e diversidade de pequenas frutas quanto ao perfil bioquímico e capacidade antioxidante. 520 $aThe objective of this work was to evaluate the biochemical composition of six berry types belonging to Fragaria, Rubus, Vaccinium and Ribes genus. Fruit samples were collected in triplicate (50 fruit each) from 18 different species or cultivars of the mentioned genera, during three years (2008 to 2010). Content of individual sugars, organic acids, flavonols, and phenolic acids were determined by high performance liquid chromatography (HPLC) analysis, while total phenolics (TPC) and total antioxidant capacity (TAC), by using spectrophotometry. Principal component analysis (PCA) and hierarchical cluster analysis (CA) were performed to evaluate the differences in fruit biochemical profile. The highest contents of bioactive components were found in Ribes nigrum and in Fragaria vesca, Rubus plicatus, and Vaccinium myrtillus. PCA and CA were able to partially discriminate between berries on the basis of their biochemical composition. Individual and total sugars, myricetin, ellagic acid, TPC and TAC showed the highest impact on biochemical composition of the berry fruits. CA separated blackberry, raspberry, and blueberry as isolate groups, while classification of strawberry, black and red currant in a specific group has not occurred. There is a large variability both between and within the different types of berries. Metabolite fingerprinting of the evaluated berries showed unique biochemical profiles and specific combination of bioactive compound contents. 650 $aBioactive compounds 650 $aFunctional foods 650 $aMultivariate analysis 650 $aMétodo estatístico 653 $aComposto bioativo 653 $aIdentificação de metabólitos 653 $aMetabolite fingerprinting 653 $aNutraceuticals 653 $aNutracêutico 653 $aPequena fruta 653 $aSmall frutis 700 1 $aRAKONJAC, V. 700 1 $aAKSIC, M. F. 700 1 $aPRISTOV, J. B. 700 1 $aMAKSIMOVIC, V. 773 $tPesquisa Agropecuária Brasileira, Brasília, DF$gv. 48, n. 9, p. 1285-1294, set. 2013.
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