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

Detalhes bibliográficos
Autor(a) principal: Santos,Suzana C.
Data de Publicação: 2010
Outros Autores: Ferri,Pedro H., Santos,Marcela R., Faria,Lourival C., Oliveira,Itamar P., Thung,Michael D. T.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Journal of the Brazilian Chemical Society (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=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 contentsPhaseolus vulgarismineral nutrientsphenolic compoundsmultivariate 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.Sociedade Brasileira de Química2010-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532010001000017Journal of the Brazilian Chemical Society v.21 n.10 2010reponame:Journal of the Brazilian Chemical Society (Online)instname:Sociedade Brasileira de Química (SBQ)instacron:SBQ10.1590/S0103-50532010001000017info:eu-repo/semantics/openAccessSantos,Suzana C.Ferri,Pedro H.Santos,Marcela R.Faria,Lourival C.Oliveira,Itamar P.Thung,Michael D. T.eng2010-12-01T00:00:00Zoai:scielo:S0103-50532010001000017Revistahttp://jbcs.sbq.org.brONGhttps://old.scielo.br/oai/scielo-oai.php||office@jbcs.sbq.org.br1678-47900103-5053opendoar:2010-12-01T00:00Journal of the Brazilian Chemical Society (Online) - Sociedade Brasileira de Química (SBQ)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,Suzana C.
Phaseolus vulgaris
mineral nutrients
phenolic compounds
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,Suzana C.
author_facet Santos,Suzana C.
Ferri,Pedro H.
Santos,Marcela R.
Faria,Lourival C.
Oliveira,Itamar P.
Thung,Michael D. T.
author_role author
author2 Ferri,Pedro H.
Santos,Marcela R.
Faria,Lourival C.
Oliveira,Itamar P.
Thung,Michael D. T.
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Santos,Suzana C.
Ferri,Pedro H.
Santos,Marcela R.
Faria,Lourival C.
Oliveira,Itamar P.
Thung,Michael D. T.
dc.subject.por.fl_str_mv Phaseolus vulgaris
mineral nutrients
phenolic compounds
multivariate analysis
topic Phaseolus vulgaris
mineral nutrients
phenolic compounds
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 2010
dc.date.none.fl_str_mv 2010-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532010001000017
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532010001000017
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0103-50532010001000017
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Química
publisher.none.fl_str_mv Sociedade Brasileira de Química
dc.source.none.fl_str_mv Journal of the Brazilian Chemical Society v.21 n.10 2010
reponame:Journal of the Brazilian Chemical Society (Online)
instname:Sociedade Brasileira de Química (SBQ)
instacron:SBQ
instname_str Sociedade Brasileira de Química (SBQ)
instacron_str SBQ
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reponame_str Journal of the Brazilian Chemical Society (Online)
collection Journal of the Brazilian Chemical Society (Online)
repository.name.fl_str_mv Journal of the Brazilian Chemical Society (Online) - Sociedade Brasileira de Química (SBQ)
repository.mail.fl_str_mv ||office@jbcs.sbq.org.br
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