Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/214328
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dc.contributor.authorSANTOS, S. C.
dc.contributor.authorFERRI, P. H.
dc.contributor.authorSANTOS, M. R.
dc.contributor.authorFARIA, L. C.
dc.contributor.authorOLIVEIRA, I. P. de
dc.contributor.authorTHUNG, M. D. T.
dc.date.accessioned2022-06-06T16:19:23Z-
dc.date.available2022-06-06T16:19:23Z-
dc.date.created2006-09-04
dc.date.issued2010
dc.identifier.citationJournal of the Brazilian Chemical Society, v. 21, n. 10, p. 1917-1922, 2010.
dc.identifier.issn0103-5053
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/214328-
dc.descriptionThe 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.
dc.language.isoeng
dc.rightsopenAccess
dc.titleMultivariate characterization of bean varieties according to yield production, mineral and phenolic contents.
dc.typeArtigo de periódico
dc.subject.thesagroFeijão
dc.subject.thesagroPhaseolus Vulgaris
dc.subject.thesagroNutriente Mineral
dc.subject.thesagroComposto Fenólico
dc.subject.nalthesaurusBeans
dc.subject.nalthesaurusMinerals
dc.subject.nalthesaurusMultivariate analysis
riaa.ainfo.id214328
riaa.ainfo.lastupdate2022-06-06
dc.identifier.doihttps://doi.org/10.1590/S0103-50532010001000017
dc.contributor.institutionSUZANA C. SANTOS, UFG; PEDRO H. FERRI, UFG; MARCELA R. SANTOS, UFG; LOURIVAL C. FARIA, UFG; ITAMAR PEREIRA DE OLIVEIRA, CNPAF; MICHAEL D. T. THUNG.
Appears in Collections:Artigo em periódico indexado (CNPAF)

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