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 | Acesso ao texto completo restrito à biblioteca da Embrapa Gado de Corte. Para informações adicionais entre em contato com cnpgc.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Gado de Corte. |
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Data corrente: |
26/02/2013 |
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Data da última atualização: |
26/02/2013 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
CHIARI, L.; JANK, L. |
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Afiliação: |
LUCIMARA CHIARI, CNPGC; LIANA JANK, CNPGC. |
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Título: |
Gene discovery by functional genomics approaches in forage plants. |
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Ano de publicação: |
2012 |
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Fonte/Imprenta: |
In: JORNADAS LATINOAMERICANAS DE RECURSOS GENÉTICOS, MEJORAMIENTO Y BIOTECNOLOGÍA DE ESPECIES FORRAJERAS, 2012, Buenos Aires. [Anales...]. Junin : Universidad Nacional del Noroeste de la Provincia de Buenos Aires. UNNOBA, 2012. |
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Páginas: |
p.42-47 |
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Idioma: |
Inglês |
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Conteúdo: |
The knowledge about the nature and content of genetic information, as well as the available technologies for DNA high-throughput sequencing (Next Generation Sequence - NGS) evolved rapidly in the last two decades. This enabled the accumulation of a large quantity of information about the nucleotide sequences of various genomes (microorganisms, plants and animals) and much of this information is available in public data banks. However, the data obtained in the sequencing projects did not contribute as expected to the understanding of the role of the genes in the function of the organisms, since the genome is a virtually static element, whereas its products, messenger RNAs and proteins, have a dynamic character which is characterized by continuous changes in response to internal and external stimuli (Greenbaum et al., 2001). In this context, the Functional Genomics emerged with the objective of knowing the individual functions of the genes and its products, RNAs (transcriptome) and proteins (proteome). This new area of research uses analytical techniques that allow to evaluate the patterns of genic and proteic expressions in cells and tissues, a basic prerequisite to understand how these macromolecules interact dynamically to produce complex organisms which are able to adapt to environmental influences and to specific metabolic-physiological situations. The results of research in Functional Genomics, especially those involving genetically different individuals or those subjected to contrasting conditions, have permitted a faster and more accurate understanding of gene-phenotype relationships, and dissect the genotype-environment interactions that cause significant changes in the phenotype of individuals (FURLAN et al., 2007). MenosThe knowledge about the nature and content of genetic information, as well as the available technologies for DNA high-throughput sequencing (Next Generation Sequence - NGS) evolved rapidly in the last two decades. This enabled the accumulation of a large quantity of information about the nucleotide sequences of various genomes (microorganisms, plants and animals) and much of this information is available in public data banks. However, the data obtained in the sequencing projects did not contribute as expected to the understanding of the role of the genes in the function of the organisms, since the genome is a virtually static element, whereas its products, messenger RNAs and proteins, have a dynamic character which is characterized by continuous changes in response to internal and external stimuli (Greenbaum et al., 2001). In this context, the Functional Genomics emerged with the objective of knowing the individual functions of the genes and its products, RNAs (transcriptome) and proteins (proteome). This new area of research uses analytical techniques that allow to evaluate the patterns of genic and proteic expressions in cells and tissues, a basic prerequisite to understand how these macromolecules interact dynamically to produce complex organisms which are able to adapt to environmental influences and to specific metabolic-physiological situations. The results of research in Functional Genomics, especially those involving genetically different individuals or those subject... Mostrar Tudo |
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Thesagro: |
Melhoramento Genético Vegetal; Pastagem. |
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Categoria do assunto: |
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Marc: |
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100 1 $aCHIARI, L.
245 $aGene discovery by functional genomics approaches in forage plants.$h[electronic resource]
260 $aIn: JORNADAS LATINOAMERICANAS DE RECURSOS GENÉTICOS, MEJORAMIENTO Y BIOTECNOLOGÍA DE ESPECIES FORRAJERAS, 2012, Buenos Aires. [Anales...]. Junin : Universidad Nacional del Noroeste de la Provincia de Buenos Aires. UNNOBA$c2012
300 $ap.42-47
520 $aThe knowledge about the nature and content of genetic information, as well as the available technologies for DNA high-throughput sequencing (Next Generation Sequence - NGS) evolved rapidly in the last two decades. This enabled the accumulation of a large quantity of information about the nucleotide sequences of various genomes (microorganisms, plants and animals) and much of this information is available in public data banks. However, the data obtained in the sequencing projects did not contribute as expected to the understanding of the role of the genes in the function of the organisms, since the genome is a virtually static element, whereas its products, messenger RNAs and proteins, have a dynamic character which is characterized by continuous changes in response to internal and external stimuli (Greenbaum et al., 2001). In this context, the Functional Genomics emerged with the objective of knowing the individual functions of the genes and its products, RNAs (transcriptome) and proteins (proteome). This new area of research uses analytical techniques that allow to evaluate the patterns of genic and proteic expressions in cells and tissues, a basic prerequisite to understand how these macromolecules interact dynamically to produce complex organisms which are able to adapt to environmental influences and to specific metabolic-physiological situations. The results of research in Functional Genomics, especially those involving genetically different individuals or those subjected to contrasting conditions, have permitted a faster and more accurate understanding of gene-phenotype relationships, and dissect the genotype-environment interactions that cause significant changes in the phenotype of individuals (FURLAN et al., 2007).
650 $aMelhoramento Genético Vegetal
650 $aPastagem
700 1 $aJANK, L.
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Registro original: |
Embrapa Gado de Corte (CNPGC) |
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| Registros recuperados : 23 | |
| 21. |  | ANDRADE, C. de L. T. D.; AMARAL, T. A.; SILVA, D. F.; GARCIA, A. G.; HOOGENBOOM, G.; BRITO, R. A. L.; BORGES JÚNIOR, J. C. F.; GOMIDE, R. L. Utilização do modelo Ceres-Maize como ferramenta na definição de estratégias de semeadura de milho: 3-requerimento e produtividade da água. In: CONGRESSO BRASILEIRO DE AGROMETEOROLOGIA, 16., 2009, Belo Horizonte. Mudanças climáticas, recursos hídricos e energia para uma agricultura sustentável: resumos. Belo Horizonte: SBA; Viçosa, MG: UFV; Sete Lagoas: Embrapa Milho e Sorgo, 2009. p. 137.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 22. | | KOTHARI, K.; BATTISTI, R.; BOOTE, K. J.; ARCHONTOULIS, S. V.; CONFALONE, A.; CONSTANTIN, J.; CUADRA, S. V.; DEBAEKE, P.; FAYE, B.; GRANT, B.; HOOGENBOOM, G.; JING, Q.; VAN DER LAAN, M.; SILVA, F. A. M. da; MARIN, F. R.; NEHBANDANI, A.; NENDEL, C.; PURCELL, L. C.; QIAN, B.; RUANE, A. C.; SCHOVING, C.; SILVA, E. H. F. M.; SMITH, W.; SOLTANI, A.; SRIVASTAVA, A.; VIEIRA JÚNIOR, N. A.; SLONE, S.; SALMERÓN, M. Are soybean models ready for climate change food impact assessments? European Journal of Agronomy, v. 135, 126482, Apr. 2022.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Cerrados. |
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| 23. | | KOTHARI, K.; BATTISTI, R.; BOOTE, K. J.; ARCHONTOULIS, S. V.; CONFALONE, A.; CONSTANTIN, J.; CUADRA, S. V.; DEBAEKE, P.; FAYE, B.; GRANT, B.; HOOGENBOOM, G.; JING, Q.; VAN DER LAAN, M.; SILVA, F. A. M. da; MARIN, F. R.; NEHBANDANI, A.; NENDEL, C.; PURCELL, L. C.; QIAN, B.; RUANE, A. C.; SCHOVING, C.; SILVA, E. H. F. M.; SMITH, W.; SOLTANI, A.; SRIVASTAVA, A.; VIEIRA JÚNIOR, N. A.; SALMERÓN, M. Evaluating differences among crop models in simulating soybean in-season growth Field Crops Research, v. 309, 109306, April 2024.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Cerrados. |
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| Registros recuperados : 23 | |
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