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| Registros recuperados : 454 | |
| 82. |  | DRUNKLER, N. L.; LEITE, R. S.; MANDARINO, J. M. G.; IDA, E. I.; DEMIATE, I. M. Cassava starch as a stabilizer of soy-based beverages. Food Science and Technology International, London, v. 18, n. 5, p. 489-499, 2012.| Biblioteca(s): Embrapa Soja. |
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| 83. | | BENEDETTI, S.; PETRUS, J. C. C.; PRUDÊNCIO, E. S.; REZZADORI, K.; MANDARINO, J. M. G. Concentração de isoflavonas do extrato aquoso de soja por nanofiltração. In: CONGRESSO BRASILEIRO DE CIÊNCIA E TECNOLOGIA DE ALIMENTOS, 22., 2010, Salvador. Ciência e tecnologia de alimentos: potencialidades, desafios e inovações. [S.l.]: SBCTA, 2010. p. 200. CD-DROM. CBCTA.| Biblioteca(s): Embrapa Soja. |
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| 88. | | CHICO, S. T.; CARRÃO-PANIZZI, M.C.; MANDARINO, J. M. G.; BENASSI, V. T. Aceitação sensorial de massas alimentícias à base de farinha de soja, farinha de trigo e semolina. In: CONGRESSO BRASILEIRO DE SOJA, 2.; MERCOSOJA 2002, 2002, Foz do Iguaçu. Perspectivas do agronegócio da soja: resumos. Londrina: Embrapa Soja, 2002. p. 350. (Embrapa Soja. Documentos, 181). Organizado por Odilon Ferreira Saraiva, Clara Beatriz Hoffmann-Campo.| Biblioteca(s): Embrapa Soja; Embrapa Trigo. |
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| 90. | | CIABOTTI, S.; BARCELLOS, M. de F. P.; MANDARINO, J. M. G.; TARONE, A. G. Avaliações químicas e bioquímicas dos grãos, extratos e tofus de soja comum e de soja livre de lipoxigenase. Ciência e Agrotecnologia, Lavras, v. 30, n. 5, p. 920-929, set.out. 2006.| Biblioteca(s): Embrapa Soja. |
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| 93. | | OLIVEIRA, M. A. de; LEITE, R. S.; MANDARINO, J. M. G. Avaliação de indicadores de qualidade tecnológica da soja por espectroscopia no infravermelho próximo. In: TIBOLA, C. S.; MEDEIROS, E. P. de; SIMEONE, M. L. F.; OLIVEIRA, M. A. de (Ed.). Espectroscopia no infravermelho próximo para avaliar indicadores de qualidade tecnológica e contaminantes em grãos. Brasília, DF: Embrapa, 2018. Cap. 4, p. 63-75.| Biblioteca(s): Embrapa Soja; Embrapa Trigo. |
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| 94. | | GRAÇA, J. P. da; HOFFMANN-CAMPO, C. B.; SALVADOR, M. C.; MANDARINO, J. M. G. Atividade de lipoxigénases em grãos e aspectos morfológicos das vagens de genótipos de soja (G/yCine max (L.) Merril). In: ENCONTRO BRASILEIRO DE ECOLOGIA QUÍMICA, 5., 2007, Londrina. Resumos... Londrina: Embrapa Soja, 2007. p. 73. Organizado por Clara Beatriz Hoffmann-Campo, Odilon Ferreira Saraiva, Lenita Jacob Oliveira, Odilon Ferreira Saraiva, Simone Ery Grosskopf.| Biblioteca(s): Embrapa Soja. |
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| 95. | | CARPENTIERI-PÍPOLO, V.; MANDARINO, J. M. G.; CARRÃO-PANIZZI, M. C.; SOUZA, A. Association of isoflavonoids with the imcompatible response of soybean roots to Meloidogyne incognita. In: WORLD SOYBEAN RESEARCH CONFERENCE, 7.; INTERNATIONAL SOYBEAN PROCESSING AND UTILIZATION CONFERENCE, 4.; CONGRESSO BRASILEIRO DE SOJA, 3., 2004, Foz do Iguassu. Abstracts of contributed papers and posters. Londrina: Embrapa Soybean, 2004. p. 166-167. (Embrapa Soja. Documentos, 228). Editado por Flávio Moscardi, Clara Beatriz Hoffmann-Campo, Odilon Ferreira Saraiva, Paulo Roberto Galerani, Francisco Carlos Krzyzanowski, Mercedes Concordia Carrão-Panizzi.| Biblioteca(s): Embrapa Soja. |
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| 100. | | OLIVEIRA, M. C. N. de; CARRÃO-PANIZZI, M.C.; MANDARINO, J. M. G. Método de componentes principais na avaliação de saponinas em cultivares de soja. In: CONGRESSO BRASILEIRO DE SOJA, 5.; MERCOSOJA 2009, Goiânia. Resumos... Londrina: Embrapa Soja, 2009. p. 242, trab. 442. Editado por Adilson de Oliveira Júnior, Odilon Ferreira Saraiva, Clara Beatriz Hoffmann Campo, César de Castro.| Biblioteca(s): Embrapa Soja. |
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| Registros recuperados : 454 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Soja. |
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Data corrente: |
03/11/2014 |
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Data da última atualização: |
31/12/2014 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
OLIVEIRA, M. C. N. de; CARRÃO-PANIZZI, M. C.; MANDARINO, J. M. G. |
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Afiliação: |
MARIA CRISTINA NEVES DE OLIVEIRA, CNPSO; MERCEDES CONCÓRDIA CARRÃO-PANIZZI, CNPT; JOSÉ MARCOS GONTIJO MANDARINO, CNPSO. |
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Título: |
Biplot method for evaluation of saponins in soybean cultivars. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
In: INTERNATIONAL BIOMETRIC CONFERENCE, 27., 2014, Florence. [Abstracts...]. Whashington, DC: International Biometric Society, 2014. |
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Idioma: |
Inglês |
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Conteúdo: |
In agricultural research many variables can be study to meet the demands. A way of reducing the size of the data matrix is to use different multivariate methods. Although it is a complex method for results interpretation, usually graphics facilitate visualization of the phenomenon under study. In this work the measured variables were chemical compounds found in soybeans called steroidal glycosides which are divided in five groups: saponins I, II, III, IV and V. Seeds of 233 soybean cultivars were analyzed and classified into high, medium, low and very low level of saponins. For this study, 50 of the analysed cultivars with medium level of saponins, were used. To evaluate the five compound groups, principal component analysis (PCA) method was applied, and a linear combination that measures total variation of the variables, cluster analysis and biplot graphic, were considered. Based on singular value decomposition, biplot method permits to present in the same graph, response variables and treatments, indicating the contribution of both according to its components. The exploratory analysis indicated a normal distribution only for saponins I and II. A strong negative correlation between saponins I and V (-0.70) and a negative correlation between saponins II and V (-0.60), were observed. The remaining correlations ranged from 0.40 to -0.51. The dendogram based on the method of complete linkage allowed grouping into few groups. The highest variability was found in the saponin I (SD = 0.19) and saponins V (SD = 0.15). The first three components explained 89.6% of the total variance. The saponin I was the most representative in the first two components (Fig 1). Results obtained by PCA (Fig. 2) showed that the cultivars located in the first quadrant are those with high content of saponins, showing that this method is effective to select materials. The highest values of saponin I are located in the first quadrant and are more distant from the origin. When the objective is to find cultivars with high content of saponins, cultivars União, MGBR56, Ocepar 10 in the first quadrant, and Embrapa 58, FT2, Dourados in the second quadrant, are the major contributions compared to the other cultivars. The minor contributions of saponins are indicated by small arrows. The highest correlations occurred when the arrows were closer. By using multivariate methods associated with the biplot, it was possible to indicate cultivars with high levels of saponins. MenosIn agricultural research many variables can be study to meet the demands. A way of reducing the size of the data matrix is to use different multivariate methods. Although it is a complex method for results interpretation, usually graphics facilitate visualization of the phenomenon under study. In this work the measured variables were chemical compounds found in soybeans called steroidal glycosides which are divided in five groups: saponins I, II, III, IV and V. Seeds of 233 soybean cultivars were analyzed and classified into high, medium, low and very low level of saponins. For this study, 50 of the analysed cultivars with medium level of saponins, were used. To evaluate the five compound groups, principal component analysis (PCA) method was applied, and a linear combination that measures total variation of the variables, cluster analysis and biplot graphic, were considered. Based on singular value decomposition, biplot method permits to present in the same graph, response variables and treatments, indicating the contribution of both according to its components. The exploratory analysis indicated a normal distribution only for saponins I and II. A strong negative correlation between saponins I and V (-0.70) and a negative correlation between saponins II and V (-0.60), were observed. The remaining correlations ranged from 0.40 to -0.51. The dendogram based on the method of complete linkage allowed grouping into few groups. The highest variability was found in the saponin I (S... Mostrar Tudo |
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Palavras-Chave: |
Bioestatística. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/110972/1/Biplot-method-for-evaluation-of-saponins-in-soybean-cultivars.pdf
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Marc: |
LEADER 03009nam a2200145 a 4500
001 1999062
005 2014-12-31
008 2014 bl uuuu u00u1 u #d
100 1 $aOLIVEIRA, M. C. N. de
245 $aBiplot method for evaluation of saponins in soybean cultivars.$h[electronic resource]
260 $aIn: INTERNATIONAL BIOMETRIC CONFERENCE, 27., 2014, Florence. [Abstracts...]. Whashington, DC: International Biometric Society$c2014
520 $aIn agricultural research many variables can be study to meet the demands. A way of reducing the size of the data matrix is to use different multivariate methods. Although it is a complex method for results interpretation, usually graphics facilitate visualization of the phenomenon under study. In this work the measured variables were chemical compounds found in soybeans called steroidal glycosides which are divided in five groups: saponins I, II, III, IV and V. Seeds of 233 soybean cultivars were analyzed and classified into high, medium, low and very low level of saponins. For this study, 50 of the analysed cultivars with medium level of saponins, were used. To evaluate the five compound groups, principal component analysis (PCA) method was applied, and a linear combination that measures total variation of the variables, cluster analysis and biplot graphic, were considered. Based on singular value decomposition, biplot method permits to present in the same graph, response variables and treatments, indicating the contribution of both according to its components. The exploratory analysis indicated a normal distribution only for saponins I and II. A strong negative correlation between saponins I and V (-0.70) and a negative correlation between saponins II and V (-0.60), were observed. The remaining correlations ranged from 0.40 to -0.51. The dendogram based on the method of complete linkage allowed grouping into few groups. The highest variability was found in the saponin I (SD = 0.19) and saponins V (SD = 0.15). The first three components explained 89.6% of the total variance. The saponin I was the most representative in the first two components (Fig 1). Results obtained by PCA (Fig. 2) showed that the cultivars located in the first quadrant are those with high content of saponins, showing that this method is effective to select materials. The highest values of saponin I are located in the first quadrant and are more distant from the origin. When the objective is to find cultivars with high content of saponins, cultivars União, MGBR56, Ocepar 10 in the first quadrant, and Embrapa 58, FT2, Dourados in the second quadrant, are the major contributions compared to the other cultivars. The minor contributions of saponins are indicated by small arrows. The highest correlations occurred when the arrows were closer. By using multivariate methods associated with the biplot, it was possible to indicate cultivars with high levels of saponins.
653 $aBioestatística
700 1 $aCARRÃO-PANIZZI, M. C.
700 1 $aMANDARINO, J. M. G.
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