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 | Acesso ao texto completo restrito à biblioteca da Embrapa Pantanal. Para informações adicionais entre em contato com cpap.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Pantanal. |
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Data corrente: |
08/01/2018 |
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Data da última atualização: |
09/02/2018 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
BULHOES, J. S.; ASSIS, A. O.; MARTINS, C. L.; FURRIEL, G. P.; SILVA, B. C. R.; RODRIGUES, L.; REIS, M. R. C.; CALHEIROS, D. F.; OLIVEIRA, M. D. de; CALIXTO, W. P. |
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Afiliação: |
JÚNIO S. BULHÕES, FEDERAL INSTITUTE OF MATO GROSSO; ALFREDO O. ASSIS, FEDERAL UNIVERSITY OF GOIAS; CRISTIANE L. MARTINS, FEDERAL UNIVERSITY OF GOIAS; GEOVANNE P. FURRIEL, FEDERAL UNIVERSITY OF GOIAS; BRUNNA C. R. SILVA, FEDERAL UNIVERSITY OF GOIAS; LUANN RODRIGUES, FEDERAL UNIVERSITY OF GOIAS; MÁRCIO R. C. REIS, FEDERAL UNIVERSITY OF GOIAS; DEBORA FERNANDES CALHEIROS, DGP; MARCIA DIVINA DE OLIVEIRA, CPAP; WESLEY P. CALIXTO, FEDERAL UNIVERSITY OF GOIAS. |
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Título: |
Gap filling in time series: A new methodology applying spectral analysis and system identification. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
In: CONFERENCE ON ELECTRICAL, ELECTRONICS ENGINEERING, INFORMATION AND COMMUNICATION TECHNOLOGIES. 2017, Pucon, Chile. [Proceedings...]. Pucon, Chile: IEE Xplore, 2017. |
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Páginas: |
Não paginado. |
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Idioma: |
Inglês |
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Notas: |
(CHILECON). |
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Conteúdo: |
The presence of gaps in time series makes the data analysis process difficult. Although there are several methods for filling such gaps, they do not present satisfactory results as the gap widens. The proposal of this paper is to present a new methodology that uses techniques of extraction of characteristics and identification of systems to fill the missing data. The proposed methodology was applied in time series of physical and chemical variables related to the water quality and behavior of the Paraguay River, and the effectiveness of the internal data forecast was proven. |
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Thesagro: |
Método de Análise. |
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Thesaurus Nal: |
Spectral Analysis. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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Marc: |
LEADER 01486nam a2200265 a 4500
001 2084473
005 2018-02-09
008 2017 bl uuuu u00u1 u #d
100 1 $aBULHOES, J. S.
245 $aGap filling in time series$bA new methodology applying spectral analysis and system identification.$h[electronic resource]
260 $aIn: CONFERENCE ON ELECTRICAL, ELECTRONICS ENGINEERING, INFORMATION AND COMMUNICATION TECHNOLOGIES. 2017, Pucon, Chile. [Proceedings...]. Pucon, Chile: IEE Xplore$c2017
300 $aNão paginado.
500 $a(CHILECON).
520 $aThe presence of gaps in time series makes the data analysis process difficult. Although there are several methods for filling such gaps, they do not present satisfactory results as the gap widens. The proposal of this paper is to present a new methodology that uses techniques of extraction of characteristics and identification of systems to fill the missing data. The proposed methodology was applied in time series of physical and chemical variables related to the water quality and behavior of the Paraguay River, and the effectiveness of the internal data forecast was proven.
650 $aSpectral Analysis
650 $aMétodo de Análise
700 1 $aASSIS, A. O.
700 1 $aMARTINS, C. L.
700 1 $aFURRIEL, G. P.
700 1 $aSILVA, B. C. R.
700 1 $aRODRIGUES, L.
700 1 $aREIS, M. R. C.
700 1 $aCALHEIROS, D. F.
700 1 $aOLIVEIRA, M. D. de
700 1 $aCALIXTO, W. P.
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Registro original: |
Embrapa Pantanal (CPAP) |
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Biblioteca |
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Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
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Registro Completo
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Biblioteca(s): |
Embrapa Soja. |
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Data corrente: |
18/06/2012 |
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Data da última atualização: |
24/07/2012 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
RODRIGUES, F. A.; MARCOLINO-GOMES, J.; CARVALHO, J. de F. C.; NASCIMENTO, L. C. do; NEUMAIER, N.; FARIAS, J. R. B.; CARAZZOLLE, M. F.; MARCELINO, F. C.; NEPOMUCENO, A. L. |
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Afiliação: |
FABIANA APARECIDA RODRIGUES, CNPSo; JULIANA MARCOLINO-GOMES, CNPSo; JOSIRLEI DE FÁTIMA CORRÊA CARVALHO, CARVALHO , J. de F. C.; LEANDRO COSTA DO NASCIMENTO, UNICAMP; NORMAN NEUMAIER, CNPSO; JOSE RENATO BOUCAS FARIAS, CNPSO; MARCELO FALSARELLA CARAZZOLLE, UNICAMP; FRANCISMAR CORREA MARCELINO GUIMARÃES, CNPSO; ALEXANDRE LIMA NEPOMUCENO, SRI. |
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Título: |
Subtractive libraries for prospecting differentially expressed genes in the soybean under water deficit. |
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Ano de publicação: |
2012 |
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Fonte/Imprenta: |
Genetics and Molecular Biology, Ribeirão Preto, v. 35, n. 1, suppl., p. 304-314, May 2012. |
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Idioma: |
Inglês |
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Conteúdo: |
Soybean has a wide range of applications in the industry and, due to its crop potential, its improvement is widely desirable. During drought conditions, soybean crops suffer significant losses in productivity. Therefore, understanding the responses of the soybean under this stress is an effective way of targeting crop improvement techniques. In this study, we employed the Suppressive Subtractive Hybridization (SSH) technique to investigate differentially expressed genes under water deficit conditions. Embrapa 48 and BR 16 soybean lines, known as drought-tolerant and -sensitive, respectively, were grown hydroponically and subjected to different short-term periods of stress by withholding the nutrient solution. Using this approach, we have identified genes expressed during the early response to water deficit in roots and leaves. These genes were compared among the lines to assess probable differences in the plant transcriptomes. In general, similar biochemical processes were predominant in both cultivars; however, there were more considerable differences between roots and leaves of Embrapa 48. Moreover, we present here a fast, clean and straightforward method to obtain drought-stressed root tissues and a large enriched collection of transcripts expressed by soybean plants under water deficit that can be useful for further studies towards the understanding of plant responses to stress. |
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Thesagro: |
Deficiência hídrica; Estiagem; Gene; Genoma; Relação água-planta; Seca; Soja. |
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Thesaurus NAL: |
Drought; Gene expression; Soybeans. |
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Categoria do assunto: |
S Ciências Biológicas |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/61091/1/gmb.subtractive.v35n1s.304-314.2012.pdf
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Marc: |
LEADER 02370naa a2200337 a 4500
001 1926619
005 2012-07-24
008 2012 bl uuuu u00u1 u #d
100 1 $aRODRIGUES, F. A.
245 $aSubtractive libraries for prospecting differentially expressed genes in the soybean under water deficit.
260 $c2012
520 $aSoybean has a wide range of applications in the industry and, due to its crop potential, its improvement is widely desirable. During drought conditions, soybean crops suffer significant losses in productivity. Therefore, understanding the responses of the soybean under this stress is an effective way of targeting crop improvement techniques. In this study, we employed the Suppressive Subtractive Hybridization (SSH) technique to investigate differentially expressed genes under water deficit conditions. Embrapa 48 and BR 16 soybean lines, known as drought-tolerant and -sensitive, respectively, were grown hydroponically and subjected to different short-term periods of stress by withholding the nutrient solution. Using this approach, we have identified genes expressed during the early response to water deficit in roots and leaves. These genes were compared among the lines to assess probable differences in the plant transcriptomes. In general, similar biochemical processes were predominant in both cultivars; however, there were more considerable differences between roots and leaves of Embrapa 48. Moreover, we present here a fast, clean and straightforward method to obtain drought-stressed root tissues and a large enriched collection of transcripts expressed by soybean plants under water deficit that can be useful for further studies towards the understanding of plant responses to stress.
650 $aDrought
650 $aGene expression
650 $aSoybeans
650 $aDeficiência hídrica
650 $aEstiagem
650 $aGene
650 $aGenoma
650 $aRelação água-planta
650 $aSeca
650 $aSoja
700 1 $aMARCOLINO-GOMES, J.
700 1 $aCARVALHO, J. de F. C.
700 1 $aNASCIMENTO, L. C. do
700 1 $aNEUMAIER, N.
700 1 $aFARIAS, J. R. B.
700 1 $aCARAZZOLLE, M. F.
700 1 $aMARCELINO, F. C.
700 1 $aNEPOMUCENO, A. L.
773 $tGenetics and Molecular Biology, Ribeirão Preto$gv. 35, n. 1, suppl., p. 304-314, May 2012.
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