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Registro Completo |
Biblioteca(s): |
Embrapa Florestas. |
Data corrente: |
14/08/2015 |
Data da última atualização: |
01/02/2016 |
Tipo da produção científica: |
Artigo em Anais de Congresso |
Autoria: |
SILVA, J. M. da; AGUIAR, A. V. de; MORI, E. S.; MORAES, M. L. T. de; SOUSA, V. A. de. |
Afiliação: |
Janete Motta da Silva, UNESP; ANANDA VIRGINIA DE AGUIAR, CNPF; Edson Seizo Mori, UNESP; Mario Luiz Teixeira de Moraes, UNESP; VALDERES APARECIDA DE SOUSA, CNPF. |
Título: |
Genetic variation between progenies of Pinus caribaea Morelet var. caribaea based on microsatellite markers. |
Ano de publicação: |
2015 |
Fonte/Imprenta: |
In: IUFRO TREE BIOTECHNOLOGY CONFERENCE, 2015, Florence. Forests: the importance to the planet and society. [S.l.]: IBBR: ICCOM, 2015. |
Descrição Física: |
Pen-drive. |
Idioma: |
Inglês |
Palavras-Chave: |
Espécie exótica; Marcador microsatélite; Melhoramento genético. |
Thesagro: |
Pinus Caribaea; Variação Genética. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/128040/1/2015-Ananda-IUFRO-GeneticVariation.pdf
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Marc: |
LEADER 00789nam a2200217 a 4500 001 2022009 005 2016-02-01 008 2015 bl uuuu u00u1 u #d 100 1 $aSILVA, J. M. da 245 $aGenetic variation between progenies of Pinus caribaea Morelet var. caribaea based on microsatellite markers.$h[electronic resource] 260 $aIn: IUFRO TREE BIOTECHNOLOGY CONFERENCE, 2015, Florence. Forests: the importance to the planet and society. [S.l.]: IBBR: ICCOM$c2015 300 $cPen-drive. 650 $aPinus Caribaea 650 $aVariação Genética 653 $aEspécie exótica 653 $aMarcador microsatélite 653 $aMelhoramento genético 700 1 $aAGUIAR, A. V. de 700 1 $aMORI, E. S. 700 1 $aMORAES, M. L. T. de 700 1 $aSOUSA, V. A. de
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Registro original: |
Embrapa Florestas (CNPF) |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Amazônia Oriental. Para informações adicionais entre em contato com cpatu.biblioteca@embrapa.br. |
Registro Completo
Biblioteca(s): |
Embrapa Amazônia Oriental. |
Data corrente: |
15/02/2019 |
Data da última atualização: |
18/04/2019 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
B - 1 |
Autoria: |
VASCONCELOS, A. A.; CUNHA, R. L.; CUNHA, E. F. M.; CAMPOS, W. E. O.; TAUBE, P. S.; DANTAS FILHO, H. A. |
Afiliação: |
Arthur Abinader Vasconcelos, UFOPA; ROBERTO LISBOA CUNHA, CPATU; ELISA FERREIRA MOURA CUNHA, CPATU; Willison Eduardo Oliveira Campos, UFPA; Paulo Sérgio Taube, UFOPA; Heronides Adonias Dantas Filho, UFPA. |
Título: |
Prediction of glucose, fructose and sucrose content in Cassava (Manihot esculenta Crantz) genotypes from Amazon using PLS models. |
Ano de publicação: |
2018 |
Fonte/Imprenta: |
Brazilian Journal of Analytical Chemistry, v. 5, n. 19, p. 29-37, 2018. |
Idioma: |
Inglês |
Conteúdo: |
The chemical characterization by classical methods requires a long time of analysis and the use of expensive and environmentally aggressive reagents. The use of the partial least squares (PLS) tool applied to FT-MIR data represents a reduction of these considered variables. The relative contributions of glucose, fructose, and sucrose obtained for the 26 cassava samples varied between 0.111-0.383 g/100g; 0.0317-0.256 g/100g and 0.286-0.775 g/100g, respectively. For five latent variables the mean of predicted glucose content in external samples was 0.220 g/100g and had the RMSEP value of 0.00590 g/100g; The best number of LVs for the prediction of the fructose content for new samples were five, where the mean of the predicted value was 0.0994 g/100g against the mean fructose reference value 0.0879 g/100g, with a 0.0115 g/100g RMSEP; The mean sucrose content in the external samples was 0.451 g/100g, compared with the reference value 0.515 g/100g, with a RMSEP 0.138 g/100g. The use of the PLS1 algorithm generated two good models with the second derivative in spectral data and one with the raw data in spectral data using four samples external to the prediction step. |
Palavras-Chave: |
Caracterização química. |
Thesagro: |
Frutose; Glicose; Mandioca; Sacarose. |
Thesaurus NAL: |
Cassava. |
Categoria do assunto: |
W Química e Física |
Marc: |
LEADER 01954naa a2200253 a 4500 001 2106089 005 2019-04-18 008 2018 bl uuuu u00u1 u #d 100 1 $aVASCONCELOS, A. A. 245 $aPrediction of glucose, fructose and sucrose content in Cassava (Manihot esculenta Crantz) genotypes from Amazon using PLS models.$h[electronic resource] 260 $c2018 520 $aThe chemical characterization by classical methods requires a long time of analysis and the use of expensive and environmentally aggressive reagents. The use of the partial least squares (PLS) tool applied to FT-MIR data represents a reduction of these considered variables. The relative contributions of glucose, fructose, and sucrose obtained for the 26 cassava samples varied between 0.111-0.383 g/100g; 0.0317-0.256 g/100g and 0.286-0.775 g/100g, respectively. For five latent variables the mean of predicted glucose content in external samples was 0.220 g/100g and had the RMSEP value of 0.00590 g/100g; The best number of LVs for the prediction of the fructose content for new samples were five, where the mean of the predicted value was 0.0994 g/100g against the mean fructose reference value 0.0879 g/100g, with a 0.0115 g/100g RMSEP; The mean sucrose content in the external samples was 0.451 g/100g, compared with the reference value 0.515 g/100g, with a RMSEP 0.138 g/100g. The use of the PLS1 algorithm generated two good models with the second derivative in spectral data and one with the raw data in spectral data using four samples external to the prediction step. 650 $aCassava 650 $aFrutose 650 $aGlicose 650 $aMandioca 650 $aSacarose 653 $aCaracterização química 700 1 $aCUNHA, R. L. 700 1 $aCUNHA, E. F. M. 700 1 $aCAMPOS, W. E. O. 700 1 $aTAUBE, P. S. 700 1 $aDANTAS FILHO, H. A. 773 $tBrazilian Journal of Analytical Chemistry$gv. 5, n. 19, p. 29-37, 2018.
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