Multivariate characterization of bean varieties according to yield production, mineral and phenolic contents.

Detalhes bibliográficos
Autor(a) principal: SANTOS, S. C.
Data de Publicação: 2006
Outros Autores: FERRI, P. H., SANTOS, M. R., FARIA, L. C., OLIVEIRA, I. P. de, THUNG, M. D. T.
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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spelling 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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