Multivariate characterization of bean varieties according to yield production, mineral and phenolic contents.
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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Format: | Artigo de periódico biblioteca |
Language: | Ingles English |
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2006-09-04
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Subjects: | Feijão, Phaseolus Vulgaris, Nutriente Mineral, Composto Fenólico, Beans, Minerals, Multivariate analysis, |
Online Access: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/214328 https://doi.org/10.1590/S0103-50532010001000017 |
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dig-alice-doc-2143282022-06-06T16:19:34Z Multivariate characterization of bean varieties according to yield production, mineral and phenolic contents. SANTOS, S. C. FERRI, P. H. SANTOS, M. R. FARIA, L. C. OLIVEIRA, I. P. de THUNG, M. D. T. 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. Feijão Phaseolus Vulgaris Nutriente Mineral Composto Fenólico Beans Minerals Multivariate analysis 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. 2022-06-06T16:19:23Z 2022-06-06T16:19:23Z 2006-09-04 2010 Artigo de periódico 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 Ingles en openAccess |
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Feijão Phaseolus Vulgaris Nutriente Mineral Composto Fenólico Beans Minerals Multivariate analysis Feijão Phaseolus Vulgaris Nutriente Mineral Composto Fenólico Beans Minerals Multivariate analysis |
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Feijão Phaseolus Vulgaris Nutriente Mineral Composto Fenólico Beans Minerals Multivariate analysis Feijão Phaseolus Vulgaris Nutriente Mineral Composto Fenólico Beans Minerals Multivariate analysis SANTOS, S. C. FERRI, P. H. SANTOS, M. R. FARIA, L. C. OLIVEIRA, I. P. de THUNG, M. D. T. Multivariate characterization of bean varieties according to yield production, mineral and phenolic contents. |
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. |
author2 |
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. |
author_facet |
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. de THUNG, M. D. T. |
format |
Artigo de periódico |
topic_facet |
Feijão Phaseolus Vulgaris Nutriente Mineral Composto Fenólico Beans Minerals Multivariate analysis |
author |
SANTOS, S. C. FERRI, P. H. SANTOS, M. R. FARIA, L. C. OLIVEIRA, I. P. de THUNG, M. D. T. |
author_sort |
SANTOS, S. C. |
title |
Multivariate characterization of bean varieties according to yield production, mineral and phenolic contents. |
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. |
publishDate |
2006-09-04 |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/214328 https://doi.org/10.1590/S0103-50532010001000017 |
work_keys_str_mv |
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