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 | Acesso ao texto completo restrito à biblioteca da Embrapa Trigo. Para informações adicionais entre em contato com cnpt.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Trigo. |
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Data corrente: |
10/01/2010 |
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Data da última atualização: |
25/02/2015 |
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Autoria: |
JIMENEZ-GARCIA, S. N.; VAZQUEZ-CRUZ, M. A.; GUEVARA-GONZALEZ, R. G.; TORRES-PACHECO, I.; CRUZ-HERNANDEZ, A.; FEREGRINO-PEREZ, A. A. |
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Título: |
Current approaches for enhanced expression of secondary metabolites as bioactive compounds in plants for agronomic and human health purposes – a review. |
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Ano de publicação: |
2013 |
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Fonte/Imprenta: |
Polish Journal of Food and Nutrition Sciences, v. 63, n. 2, p. 67-78, 2013. |
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Idioma: |
Inglês |
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Conteúdo: |
The study of secondary metabolism in plants is an important source for the discovery of bioactive compounds with a wide range of applications. Today these bioactive compounds derived from plants are important drugs such as antibiotics, and agrochemicals substitutes, they also have been economically important as flavors and fragrances, dyes and pigments, and food preservatives. Many of the drugs sold today are synthetic modifications of naturally obtained substances. There is no rigid scheme for classifying secondary metabolites, but they can be divided into different groups based on their chemical components, function and biosynthesis: terpenoids and steroids, fatty acid-derived substances and polyketides, alkaloids, phenolic compounds, non-ribosomal polypeptides and enzyme cofactors. The increasing commercial importance of these chemical compounds has resulted in a great interest in secondary metabolism, particularly the possibility of altering the production of bioactive plant metabolites by means of tissue culture technology and metabolomics. In today’s world the use of bioactive compounds derived from plants plays an important role in pharmaceutical applications. This review presents information about these metabolites and their applications as well as their importance in agronomy and bioactive effects on human health as nutraceuticals. This review includes also the new tendencies to produce these bioactive compounds under different stresses conditions such as biotic and abiotic stress that could be included in production systems. MenosThe study of secondary metabolism in plants is an important source for the discovery of bioactive compounds with a wide range of applications. Today these bioactive compounds derived from plants are important drugs such as antibiotics, and agrochemicals substitutes, they also have been economically important as flavors and fragrances, dyes and pigments, and food preservatives. Many of the drugs sold today are synthetic modifications of naturally obtained substances. There is no rigid scheme for classifying secondary metabolites, but they can be divided into different groups based on their chemical components, function and biosynthesis: terpenoids and steroids, fatty acid-derived substances and polyketides, alkaloids, phenolic compounds, non-ribosomal polypeptides and enzyme cofactors. The increasing commercial importance of these chemical compounds has resulted in a great interest in secondary metabolism, particularly the possibility of altering the production of bioactive plant metabolites by means of tissue culture technology and metabolomics. In today’s world the use of bioactive compounds derived from plants plays an important role in pharmaceutical applications. This review presents information about these metabolites and their applications as well as their importance in agronomy and bioactive effects on human health as nutraceuticals. This review includes also the new tendencies to produce these bioactive compounds under different stresses conditions such as biotic and... Mostrar Tudo |
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Palavras-Chave: |
Composto bioativo; Saúde humana. |
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Thesagro: |
Alelopatia. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02299naa a2200217 a 4500
001 1839478
005 2015-02-25
008 2013 bl --- 0-- u #d
100 1 $aJIMENEZ-GARCIA, S. N.
245 $aCurrent approaches for enhanced expression of secondary metabolites as bioactive compounds in plants for agronomic and human health purposes – a review.
260 $c2013
520 $aThe study of secondary metabolism in plants is an important source for the discovery of bioactive compounds with a wide range of applications. Today these bioactive compounds derived from plants are important drugs such as antibiotics, and agrochemicals substitutes, they also have been economically important as flavors and fragrances, dyes and pigments, and food preservatives. Many of the drugs sold today are synthetic modifications of naturally obtained substances. There is no rigid scheme for classifying secondary metabolites, but they can be divided into different groups based on their chemical components, function and biosynthesis: terpenoids and steroids, fatty acid-derived substances and polyketides, alkaloids, phenolic compounds, non-ribosomal polypeptides and enzyme cofactors. The increasing commercial importance of these chemical compounds has resulted in a great interest in secondary metabolism, particularly the possibility of altering the production of bioactive plant metabolites by means of tissue culture technology and metabolomics. In today’s world the use of bioactive compounds derived from plants plays an important role in pharmaceutical applications. This review presents information about these metabolites and their applications as well as their importance in agronomy and bioactive effects on human health as nutraceuticals. This review includes also the new tendencies to produce these bioactive compounds under different stresses conditions such as biotic and abiotic stress that could be included in production systems.
650 $aAlelopatia
653 $aComposto bioativo
653 $aSaúde humana
700 1 $aVAZQUEZ-CRUZ, M. A.
700 1 $aGUEVARA-GONZALEZ, R. G.
700 1 $aTORRES-PACHECO, I.
700 1 $aCRUZ-HERNANDEZ, A.
700 1 $aFEREGRINO-PEREZ, A. A.
773 $tPolish Journal of Food and Nutrition Sciences$gv. 63, n. 2, p. 67-78, 2013.
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Registro original: |
Embrapa Trigo (CNPT) |
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Biblioteca |
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Cutter |
Registro |
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URL |
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Biblioteca(s): |
Embrapa Caprinos e Ovinos. |
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Data corrente: |
08/11/2012 |
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Data da última atualização: |
17/05/2022 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
SARMENTO, J. L. R.; SANTOS, G. V. dos; BIAGIOTTI, D.; SOUSA, W. H. de; LOBO, R. N. B. |
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Afiliação: |
José Lindenberg Rocha Sarmento, UFPI - Bom Jesus, PI.; Gleyson Vieira dos Santos, Pós-graduação - UFPI - Bom Jesus, PI.; Daniel Biagiotti, Pós-graduação - UFPI - Teresina, PI.; Wandrick Hauss de Sousa, EMEPA-PB; RAIMUNDO NONATO BRAGA LOBO, CNPC. |
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Título: |
Avaliação do efeito materno sobre o peso aos 196 dias de idade em ovinos Santa Inês. |
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Ano de publicação: |
2012 |
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Fonte/Imprenta: |
In: SIMPÓSIO BRASILEIRO DE MELHORAMENTO ANIMAL, 9., 2012, João Pessoa. Anais... João Pessoa: SBMA, 2012. 3 f. 1 CD-ROM. |
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Idioma: |
Português |
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Conteúdo: |
Resumo: O trabalho teve como objetivo investigar a importância do efeito materno na estimação dos componentes de (co)variância e parâmetros genéticos sobre o peso aos 196 dias de idade (P196) em ovinos Santa Inês. Foi utilizado modelo animal que, além do efeito genético aditivo direto, incluiu ou não os efeitos aleatórios genético aditivo materno, covariância genética entre os efeitos direto e materno, ambiente permanente materno e o efeito comum de ninhada, mais o erro aleatório associado a cada observação. Com base no BIC o modelo que melhor se ajustou à característica foi que continha os efeitos genético aditivo e comum de ninhada (modelo 4), indicando que a não inclusão do efeito de ninhada em estudos genéticos para P196 pode levar a estimativas de parâmetros genéticos e componentes de covariância errôneas. Evaluation of the maternal effect on weight at 196 days of age in Santa Inês sheep. Abstract: The study had the aim to investigate the importance of maternal effect on estimation of the (co)variance and genetic parameters on the weight at 196 days of age (P196) in Santa Ines sheep. The animal model used, in addition to direct genetic effect, included or not the following random effects, maternal additive genetic, genetic covariance between direct and maternal effects, maternal permanent environmental effect and common litter effect, besides the random error associated with each observation. Based on BIC and residual variance, the model that best fit the characteristic was that containing the additive genetic and common litter effects (model 4), indicating that the non inclusion of the litter effects in genetic studies for P196 may lead to estimates of genetic parameters and covariance components erroneous. MenosResumo: O trabalho teve como objetivo investigar a importância do efeito materno na estimação dos componentes de (co)variância e parâmetros genéticos sobre o peso aos 196 dias de idade (P196) em ovinos Santa Inês. Foi utilizado modelo animal que, além do efeito genético aditivo direto, incluiu ou não os efeitos aleatórios genético aditivo materno, covariância genética entre os efeitos direto e materno, ambiente permanente materno e o efeito comum de ninhada, mais o erro aleatório associado a cada observação. Com base no BIC o modelo que melhor se ajustou à característica foi que continha os efeitos genético aditivo e comum de ninhada (modelo 4), indicando que a não inclusão do efeito de ninhada em estudos genéticos para P196 pode levar a estimativas de parâmetros genéticos e componentes de covariância errôneas. Evaluation of the maternal effect on weight at 196 days of age in Santa Inês sheep. Abstract: The study had the aim to investigate the importance of maternal effect on estimation of the (co)variance and genetic parameters on the weight at 196 days of age (P196) in Santa Ines sheep. The animal model used, in addition to direct genetic effect, included or not the following random effects, maternal additive genetic, genetic covariance between direct and maternal effects, maternal permanent environmental effect and common litter effect, besides the random error associated with each observation. Based on BIC and residual variance, the model that best fit the characteristic... Mostrar Tudo |
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Palavras-Chave: |
Animal model; Componentes de variancia; Efeito materno; Genetic parameters; Modelo animal; Variance components. |
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Thesagro: |
Genética animal; Melhoramento genético animal; Ovino; Parâmetro genético; Peso. |
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Thesaurus NAL: |
Animal breeding; Sheep. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/69736/1/AAC-Avaliacao-do-efeito.pdf
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Marc: |
LEADER 02758nam a2200313 a 4500
001 1939226
005 2022-05-17
008 2012 bl uuuu u00u1 u #d
100 1 $aSARMENTO, J. L. R.
245 $aAvaliação do efeito materno sobre o peso aos 196 dias de idade em ovinos Santa Inês.$h[electronic resource]
260 $aIn: SIMPÓSIO BRASILEIRO DE MELHORAMENTO ANIMAL, 9., 2012, João Pessoa. Anais... João Pessoa: SBMA, 2012. 3 f. 1 CD-ROM.$c2012
520 $aResumo: O trabalho teve como objetivo investigar a importância do efeito materno na estimação dos componentes de (co)variância e parâmetros genéticos sobre o peso aos 196 dias de idade (P196) em ovinos Santa Inês. Foi utilizado modelo animal que, além do efeito genético aditivo direto, incluiu ou não os efeitos aleatórios genético aditivo materno, covariância genética entre os efeitos direto e materno, ambiente permanente materno e o efeito comum de ninhada, mais o erro aleatório associado a cada observação. Com base no BIC o modelo que melhor se ajustou à característica foi que continha os efeitos genético aditivo e comum de ninhada (modelo 4), indicando que a não inclusão do efeito de ninhada em estudos genéticos para P196 pode levar a estimativas de parâmetros genéticos e componentes de covariância errôneas. Evaluation of the maternal effect on weight at 196 days of age in Santa Inês sheep. Abstract: The study had the aim to investigate the importance of maternal effect on estimation of the (co)variance and genetic parameters on the weight at 196 days of age (P196) in Santa Ines sheep. The animal model used, in addition to direct genetic effect, included or not the following random effects, maternal additive genetic, genetic covariance between direct and maternal effects, maternal permanent environmental effect and common litter effect, besides the random error associated with each observation. Based on BIC and residual variance, the model that best fit the characteristic was that containing the additive genetic and common litter effects (model 4), indicating that the non inclusion of the litter effects in genetic studies for P196 may lead to estimates of genetic parameters and covariance components erroneous.
650 $aAnimal breeding
650 $aSheep
650 $aGenética animal
650 $aMelhoramento genético animal
650 $aOvino
650 $aParâmetro genético
650 $aPeso
653 $aAnimal model
653 $aComponentes de variancia
653 $aEfeito materno
653 $aGenetic parameters
653 $aModelo animal
653 $aVariance components
700 1 $aSANTOS, G. V. dos
700 1 $aBIAGIOTTI, D.
700 1 $aSOUSA, W. H. de
700 1 $aLOBO, R. N. B.
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