Multivariate characterization of bean varieties according to yield production, mineral and phenolic contents.
Autor(a) principal: | |
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Data de Publicação: | 2006 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
Texto Completo: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/214328 https://doi.org/10.1590/S0103-50532010001000017 |
Resumo: | The contents of mineral nutrients (Fe, Ca, Cu, Mn, Mg, and Zn) and phenolic compounds (total phenols and tannins) of sixteen bean cultivars grown under controlled conditions have been quantified. Data obtained from chemical determinations and bean yields were evaluated by multivariate methods, principal components, hierarchical cluster and canonical correlation analysis. Three groups of cultivars were recognized and mineral nutrients Fe, Zn, Cu, and Mn as well as bean yields were the most relevant factors for their discrimination. Potential bean varieties for biofortification programs or direct use in fortified food were identified mainly in cluster I, in which a number of cultivars conciliate good yields and high mineral contents, such as Aporé (Fe and Mg), Bambuí (Zn), and Valente (Fe and Cu). The use of canonical correlation analysis allowed for the detection of significant relationships between bean yield, tannins, and Mg, Zn, and Mn metals. |
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Multivariate characterization of bean varieties according to yield production, mineral and phenolic contents.FeijãoPhaseolus VulgarisNutriente MineralComposto FenólicoBeansMineralsMultivariate analysisThe contents of mineral nutrients (Fe, Ca, Cu, Mn, Mg, and Zn) and phenolic compounds (total phenols and tannins) of sixteen bean cultivars grown under controlled conditions have been quantified. Data obtained from chemical determinations and bean yields were evaluated by multivariate methods, principal components, hierarchical cluster and canonical correlation analysis. Three groups of cultivars were recognized and mineral nutrients Fe, Zn, Cu, and Mn as well as bean yields were the most relevant factors for their discrimination. Potential bean varieties for biofortification programs or direct use in fortified food were identified mainly in cluster I, in which a number of cultivars conciliate good yields and high mineral contents, such as Aporé (Fe and Mg), Bambuí (Zn), and Valente (Fe and Cu). The use of canonical correlation analysis allowed for the detection of significant relationships between bean yield, tannins, and Mg, Zn, and Mn metals.SUZANA C. SANTOS, UFG; PEDRO H. FERRI, UFG; MARCELA R. SANTOS, UFG; LOURIVAL C. FARIA, UFG; ITAMAR PEREIRA DE OLIVEIRA, CNPAF; MICHAEL D. T. THUNG.SANTOS, S. C.FERRI, P. H.SANTOS, M. R.FARIA, L. C.OLIVEIRA, I. P. deTHUNG, M. D. T.2022-06-06T16:19:23Z2022-06-06T16:19:23Z2006-09-042010info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleJournal of the Brazilian Chemical Society, v. 21, n. 10, p. 1917-1922, 2010.0103-5053http://www.alice.cnptia.embrapa.br/alice/handle/doc/214328https://doi.org/10.1590/S0103-50532010001000017enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2022-06-06T16:19:34Zoai:www.alice.cnptia.embrapa.br:doc/214328Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542022-06-06T16:19:34falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542022-06-06T16:19:34Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Multivariate characterization of bean varieties according to yield production, mineral and phenolic contents. |
title |
Multivariate characterization of bean varieties according to yield production, mineral and phenolic contents. |
spellingShingle |
Multivariate characterization of bean varieties according to yield production, mineral and phenolic contents. SANTOS, S. C. Feijão Phaseolus Vulgaris Nutriente Mineral Composto Fenólico Beans Minerals Multivariate analysis |
title_short |
Multivariate characterization of bean varieties according to yield production, mineral and phenolic contents. |
title_full |
Multivariate characterization of bean varieties according to yield production, mineral and phenolic contents. |
title_fullStr |
Multivariate characterization of bean varieties according to yield production, mineral and phenolic contents. |
title_full_unstemmed |
Multivariate characterization of bean varieties according to yield production, mineral and phenolic contents. |
title_sort |
Multivariate characterization of bean varieties according to yield production, mineral and phenolic contents. |
author |
SANTOS, S. C. |
author_facet |
SANTOS, S. C. FERRI, P. H. SANTOS, M. R. FARIA, L. C. OLIVEIRA, I. P. de THUNG, M. D. T. |
author_role |
author |
author2 |
FERRI, P. H. SANTOS, M. R. FARIA, L. C. OLIVEIRA, I. P. de THUNG, M. D. T. |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
SUZANA C. SANTOS, UFG; PEDRO H. FERRI, UFG; MARCELA R. SANTOS, UFG; LOURIVAL C. FARIA, UFG; ITAMAR PEREIRA DE OLIVEIRA, CNPAF; MICHAEL D. T. THUNG. |
dc.contributor.author.fl_str_mv |
SANTOS, S. C. FERRI, P. H. SANTOS, M. R. FARIA, L. C. OLIVEIRA, I. P. de THUNG, M. D. T. |
dc.subject.por.fl_str_mv |
Feijão Phaseolus Vulgaris Nutriente Mineral Composto Fenólico Beans Minerals Multivariate analysis |
topic |
Feijão Phaseolus Vulgaris Nutriente Mineral Composto Fenólico Beans Minerals Multivariate analysis |
description |
The contents of mineral nutrients (Fe, Ca, Cu, Mn, Mg, and Zn) and phenolic compounds (total phenols and tannins) of sixteen bean cultivars grown under controlled conditions have been quantified. Data obtained from chemical determinations and bean yields were evaluated by multivariate methods, principal components, hierarchical cluster and canonical correlation analysis. Three groups of cultivars were recognized and mineral nutrients Fe, Zn, Cu, and Mn as well as bean yields were the most relevant factors for their discrimination. Potential bean varieties for biofortification programs or direct use in fortified food were identified mainly in cluster I, in which a number of cultivars conciliate good yields and high mineral contents, such as Aporé (Fe and Mg), Bambuí (Zn), and Valente (Fe and Cu). The use of canonical correlation analysis allowed for the detection of significant relationships between bean yield, tannins, and Mg, Zn, and Mn metals. |
publishDate |
2006 |
dc.date.none.fl_str_mv |
2006-09-04 2010 2022-06-06T16:19:23Z 2022-06-06T16:19:23Z |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
Journal of the Brazilian Chemical Society, v. 21, n. 10, p. 1917-1922, 2010. 0103-5053 http://www.alice.cnptia.embrapa.br/alice/handle/doc/214328 https://doi.org/10.1590/S0103-50532010001000017 |
identifier_str_mv |
Journal of the Brazilian Chemical Society, v. 21, n. 10, p. 1917-1922, 2010. 0103-5053 |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/214328 https://doi.org/10.1590/S0103-50532010001000017 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
collection |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
repository.name.fl_str_mv |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
cg-riaa@embrapa.br |
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1794503523930472448 |