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Registro Completo |
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Biblioteca(s): |
Embrapa Soja. |
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Data corrente: |
06/04/2004 |
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Data da última atualização: |
27/07/2007 |
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Autoria: |
MANDARINO, J. M. G.; ALIGLERI, T. S. |
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Título: |
Influence of curdling agents and soybean cultivars on tofu production. |
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Ano de publicação: |
2004 |
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Fonte/Imprenta: |
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. |
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Páginas: |
p. 67. |
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Série: |
(Embrapa Soja. Documentos, 228). |
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Idioma: |
Inglês |
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Notas: |
Editado por Flávio Moscardi, Clara Beatriz Hoffmann-Campo, Odilon Ferreira Saraiva, Paulo Roberto Galerani, Francisco Carlos Krzyzanowski, Mercedes Concordia Carrão-Panizzi. |
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Conteúdo: |
Soybean and soybean products are good sources of proteins and polyunsaturated fatty acids, and have a potential to improve the human nutritional status due to their nutritional and functional compounds, which can help to keep good health conditions for humans. In Brazil, however, the consumption of soybean and soybean products such as tofu is limited mainly due to its astringent flavor. Soybean quality for food processing includes gel strength of tofu, soybean flavor and color. The aim of this assignment was to investigate the effects of cultivars and curdling agent on gelling properties for tofu production. In this study one breeding line (BRM94-52273) and thirteen cultivars (BRS 155, BRS 156, BRS 183, BRS 184, BRS 185, BRS 212, BRS 213, BRS 214, BRS 215, BRS 216, BRS230, BRS231 and BRS 233) developed by the breeding program of Embrapa Soybean, and three curdling agents: gluconolactone, magnesium chloride anhydrous (MgCl2) and calcium sulfate dihydrate (CaSO4.2H2O) were evaluated for tofu production. Gel strength of tofu (firmness) was measured in a Shimadzu Texture Analyzer - EZ Test Series. Tofu samples, which presented higher firmness, were submitted to sensory analysis. This analysis was accomplished with 80 non-trained panelists. Cultivar BRS 155 showed highest firmness (1.719 N) when treated with gluconolactone. Cultivar BRS 212 treated with MgCl2 showed firmness of 1.010 N and firmness value of 0.584 N. when it was treated with CaSO4. For sensory analysis the chosen samples were those which obtained high values of firmness with each one of the curdling agents (BRS 155/gluconolactone, BRS 212/CaSO4 and BRS 212/MgCl2). Results of tofu curd sensory analysis indicated that BRS 212 treated with MgCl2 had the highest acceptance, around 77,5%. MenosSoybean and soybean products are good sources of proteins and polyunsaturated fatty acids, and have a potential to improve the human nutritional status due to their nutritional and functional compounds, which can help to keep good health conditions for humans. In Brazil, however, the consumption of soybean and soybean products such as tofu is limited mainly due to its astringent flavor. Soybean quality for food processing includes gel strength of tofu, soybean flavor and color. The aim of this assignment was to investigate the effects of cultivars and curdling agent on gelling properties for tofu production. In this study one breeding line (BRM94-52273) and thirteen cultivars (BRS 155, BRS 156, BRS 183, BRS 184, BRS 185, BRS 212, BRS 213, BRS 214, BRS 215, BRS 216, BRS230, BRS231 and BRS 233) developed by the breeding program of Embrapa Soybean, and three curdling agents: gluconolactone, magnesium chloride anhydrous (MgCl2) and calcium sulfate dihydrate (CaSO4.2H2O) were evaluated for tofu production. Gel strength of tofu (firmness) was measured in a Shimadzu Texture Analyzer - EZ Test Series. Tofu samples, which presented higher firmness, were submitted to sensory analysis. This analysis was accomplished with 80 non-trained panelists. Cultivar BRS 155 showed highest firmness (1.719 N) when treated with gluconolactone. Cultivar BRS 212 treated with MgCl2 showed firmness of 1.010 N and firmness value of 0.584 N. when it was treated with CaSO4. For sensory analysis the chosen ... Mostrar Tudo |
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Categoria do assunto: |
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Marc: |
LEADER 02611naa a2200169 a 4500
001 1466750
005 2007-07-27
008 2004 bl uuuu u00u1 u #d
100 1 $aMANDARINO, J. M. G.
245 $aInfluence of curdling agents and soybean cultivars on tofu production.
260 $c2004
300 $ap. 67.
490 $a(Embrapa Soja. Documentos, 228).
500 $aEditado por Flávio Moscardi, Clara Beatriz Hoffmann-Campo, Odilon Ferreira Saraiva, Paulo Roberto Galerani, Francisco Carlos Krzyzanowski, Mercedes Concordia Carrão-Panizzi.
520 $aSoybean and soybean products are good sources of proteins and polyunsaturated fatty acids, and have a potential to improve the human nutritional status due to their nutritional and functional compounds, which can help to keep good health conditions for humans. In Brazil, however, the consumption of soybean and soybean products such as tofu is limited mainly due to its astringent flavor. Soybean quality for food processing includes gel strength of tofu, soybean flavor and color. The aim of this assignment was to investigate the effects of cultivars and curdling agent on gelling properties for tofu production. In this study one breeding line (BRM94-52273) and thirteen cultivars (BRS 155, BRS 156, BRS 183, BRS 184, BRS 185, BRS 212, BRS 213, BRS 214, BRS 215, BRS 216, BRS230, BRS231 and BRS 233) developed by the breeding program of Embrapa Soybean, and three curdling agents: gluconolactone, magnesium chloride anhydrous (MgCl2) and calcium sulfate dihydrate (CaSO4.2H2O) were evaluated for tofu production. Gel strength of tofu (firmness) was measured in a Shimadzu Texture Analyzer - EZ Test Series. Tofu samples, which presented higher firmness, were submitted to sensory analysis. This analysis was accomplished with 80 non-trained panelists. Cultivar BRS 155 showed highest firmness (1.719 N) when treated with gluconolactone. Cultivar BRS 212 treated with MgCl2 showed firmness of 1.010 N and firmness value of 0.584 N. when it was treated with CaSO4. For sensory analysis the chosen samples were those which obtained high values of firmness with each one of the curdling agents (BRS 155/gluconolactone, BRS 212/CaSO4 and BRS 212/MgCl2). Results of tofu curd sensory analysis indicated that BRS 212 treated with MgCl2 had the highest acceptance, around 77,5%.
700 1 $aALIGLERI, T. S.
773 $tIn: 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.
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Registro original: |
Embrapa Soja (CNPSO) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Meio Ambiente. Para informações adicionais entre em contato com cnpma.biblioteca@embrapa.br. |
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Biblioteca(s): |
Embrapa Meio Ambiente; Embrapa Semiárido. |
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Data corrente: |
23/12/2021 |
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Data da última atualização: |
15/03/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
MELO, D. de C. D.; ANACHE, J. A. A.; BORGES, V. P.; GONZALEZ MIRALLES, D.; MARTENS, B.; FISHER, J. B.; NÓBREGA, R. L. B.; MORENO, Á.; CABRAL, O. M. R.; RODRIGUES, T. R.; BEZERRA, B.; SILVA, C. M. S. e; MEIRA NETO, A. A.; MOURA, M. S. B. de; MARQUES, T. V.; CAMPOS, S.; NOGUEIRA, J. de S.; ROSOLEM, R.; SOUZA, R. M. S.; ANTONINO, A. C. D.; HOLL, D.; GALLEGUILLOS, M.; PEREZ-QUEZADA, J.; VERHOEF, A.; KUTZBACH, L.; LIMA, J. R. de S.; SOUZA, E. S. de; GASSMANN, M. I.; PÉREZ, C. F.; TONTI, N. E.; POSSE, G.; RAINS, D.; OLIVEIRA, P. T.; WENDLAND, E. |
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Afiliação: |
DAVI DE CARVALHO DINIZ MELO, UFPB; JAMIL ALEXANDRE AYACH ANACHE, UFMS; VALÉRIA PEIXOTO BORGES, UFPB; DIEGO GONZALEZ MIRALLES, Ghent University; BRECHT MARTENS, Ghent University; JOSHUA B FISHER, Chapman University; RODOLFO LUIZ BEZERRA NÓBREGA, Imperial Coolege London; ÁLVARO MORENO MARTÍNEZ, University of Montana; OSVALDO MACHADO RODRIGUES CABRAL, CNPMA; THIAGO RANGEL RODRIGUES, UFMS; BERGSON BEZERRA, UFRN; CLÁUDIO MOISÉS SANTOS E SILVA, UFRN; ANTONIO ALVES MEIRA NETO, University of Arizona; MAGNA SOELMA BESERRA DE MOURA, CPATSA; THIAGO VALENTIM MARQUES, UFRN; SUANY CAMPOS, UFRN; JOSE DE SOUZA NOGUEIRA, UFMS; RAFAEL ROSOLEM, University of Bristol; RODOLFO M S SOUZA, Texas A&M University; ANTONIO CELSO DANTAS ANTONINO, UFPE; DAVID HOLL, Universität Hamburg; MAURICIO GALLEGUILLOS, Universidad de Chile; JORGE PEREZ-QUEZADA, Universidad de Chile; ANNE VERHOEF, University of Reading; LARS KUTZBACH, Universität Hamburg; JOSÉ ROMUALDO DE SOUSA LIMA, UFAPE; EDUARDO SOARES DE SOUZA, UFRPE; MARÍA ISABEL GASSMANN, Universidad de Buenos Aires; CLAUDIO F PÉREZ, CONICET; NATALIA EDITH TONTI, Universisidad de Buenos Aires; GABRIELA POSSE, INTA; DOMINIK RAINS, Ghent University; PAULO TARSO OLIVEIRA, UFMS; EDSON WENDLAND, EESC-USP. |
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Título: |
Are remote sensing evapotranspiration models reliable across South American ecoregions? |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Water Resources Research, v. 57, n. 11, e2020WR028752, 2021. |
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ISSN: |
0043-1397 |
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DOI: |
https://doi.org/10.1029/2020WR028752 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract: Many remote sensing-based evapotranspiration (RSBET) algorithms have been proposed in the past decades and evaluated using flux tower data, mainly over North America and Europe. Model evaluation across South America has been done locally or using only a single algorithm at a time. Here, we provide the first evaluation of multiple RSBET models, at a daily scale, across a wide variety of biomes, climate zones, and land uses in South America. We used meteorological data from 25 flux towers to force four RSBET models: Priestley-Taylor Jet Propulsion Laboratory (PT-JPL), Global Land Evaporation Amsterdam Model (GLEAM), Penman-Monteith Mu model (PM-MOD), and Penman-Monteith Nagler model (PM-VI). was predicted satisfactorily by all four models, with correlations consistently higher () for GLEAM and PT-JPL, and PM-MOD and PM-VI presenting overall better responses in terms of percent bias (%). As for PM-VI, this outcome is expected, given that the model requires calibration with local data. Model skill seems to be unrelated to land-use but instead presented some dependency on biome and climate, with the models producing the best results for wet to moderately wet environments. Our findings show the suitability of individual models for a number of combinations of land cover types, biomes, and climates. At the same time, no model outperformed the others for all conditions, which emphasizes the need for adapting individual algorithms to take into account intrinsic characteristics of climates and ecosystems in South America. MenosAbstract: Many remote sensing-based evapotranspiration (RSBET) algorithms have been proposed in the past decades and evaluated using flux tower data, mainly over North America and Europe. Model evaluation across South America has been done locally or using only a single algorithm at a time. Here, we provide the first evaluation of multiple RSBET models, at a daily scale, across a wide variety of biomes, climate zones, and land uses in South America. We used meteorological data from 25 flux towers to force four RSBET models: Priestley-Taylor Jet Propulsion Laboratory (PT-JPL), Global Land Evaporation Amsterdam Model (GLEAM), Penman-Monteith Mu model (PM-MOD), and Penman-Monteith Nagler model (PM-VI). was predicted satisfactorily by all four models, with correlations consistently higher () for GLEAM and PT-JPL, and PM-MOD and PM-VI presenting overall better responses in terms of percent bias (%). As for PM-VI, this outcome is expected, given that the model requires calibration with local data. Model skill seems to be unrelated to land-use but instead presented some dependency on biome and climate, with the models producing the best results for wet to moderately wet environments. Our findings show the suitability of individual models for a number of combinations of land cover types, biomes, and climates. At the same time, no model outperformed the others for all conditions, which emphasizes the need for adapting individual algorithms to take into account intrinsic characteristi... Mostrar Tudo |
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Thesagro: |
Evapotranspiração; Modelo de Simulação; Sensoriamento Remoto. |
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Thesaurus NAL: |
Climate models; Evapotranspiration; Mathematical models; Remote sensing. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 03298naa a2200625 a 4500
001 2138344
005 2022-03-15
008 2021 bl uuuu u00u1 u #d
022 $a0043-1397
024 7 $ahttps://doi.org/10.1029/2020WR028752$2DOI
100 1 $aMELO, D. de C. D.
245 $aAre remote sensing evapotranspiration models reliable across South American ecoregions?$h[electronic resource]
260 $c2021
520 $aAbstract: Many remote sensing-based evapotranspiration (RSBET) algorithms have been proposed in the past decades and evaluated using flux tower data, mainly over North America and Europe. Model evaluation across South America has been done locally or using only a single algorithm at a time. Here, we provide the first evaluation of multiple RSBET models, at a daily scale, across a wide variety of biomes, climate zones, and land uses in South America. We used meteorological data from 25 flux towers to force four RSBET models: Priestley-Taylor Jet Propulsion Laboratory (PT-JPL), Global Land Evaporation Amsterdam Model (GLEAM), Penman-Monteith Mu model (PM-MOD), and Penman-Monteith Nagler model (PM-VI). was predicted satisfactorily by all four models, with correlations consistently higher () for GLEAM and PT-JPL, and PM-MOD and PM-VI presenting overall better responses in terms of percent bias (%). As for PM-VI, this outcome is expected, given that the model requires calibration with local data. Model skill seems to be unrelated to land-use but instead presented some dependency on biome and climate, with the models producing the best results for wet to moderately wet environments. Our findings show the suitability of individual models for a number of combinations of land cover types, biomes, and climates. At the same time, no model outperformed the others for all conditions, which emphasizes the need for adapting individual algorithms to take into account intrinsic characteristics of climates and ecosystems in South America.
650 $aClimate models
650 $aEvapotranspiration
650 $aMathematical models
650 $aRemote sensing
650 $aEvapotranspiração
650 $aModelo de Simulação
650 $aSensoriamento Remoto
700 1 $aANACHE, J. A. A.
700 1 $aBORGES, V. P.
700 1 $aGONZALEZ MIRALLES, D.
700 1 $aMARTENS, B.
700 1 $aFISHER, J. B.
700 1 $aNÓBREGA, R. L. B.
700 1 $aMORENO, Á.
700 1 $aCABRAL, O. M. R.
700 1 $aRODRIGUES, T. R.
700 1 $aBEZERRA, B.
700 1 $aSILVA, C. M. S. e
700 1 $aMEIRA NETO, A. A.
700 1 $aMOURA, M. S. B. de
700 1 $aMARQUES, T. V.
700 1 $aCAMPOS, S.
700 1 $aNOGUEIRA, J. de S.
700 1 $aROSOLEM, R.
700 1 $aSOUZA, R. M. S.
700 1 $aANTONINO, A. C. D.
700 1 $aHOLL, D.
700 1 $aGALLEGUILLOS, M.
700 1 $aPEREZ-QUEZADA, J.
700 1 $aVERHOEF, A.
700 1 $aKUTZBACH, L.
700 1 $aLIMA, J. R. de S.
700 1 $aSOUZA, E. S. de
700 1 $aGASSMANN, M. I.
700 1 $aPÉREZ, C. F.
700 1 $aTONTI, N. E.
700 1 $aPOSSE, G.
700 1 $aRAINS, D.
700 1 $aOLIVEIRA, P. T.
700 1 $aWENDLAND, E.
773 $tWater Resources Research$gv. 57, n. 11, e2020WR028752, 2021.
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