Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/919302
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dc.contributor.authorALVES, E. O. S.pt_BR
dc.contributor.authorSILVA, C. B. M. C.pt_BR
dc.contributor.authorSOUZA, A. M.pt_BR
dc.contributor.authorSANTOS, C. A. F.pt_BR
dc.contributor.authorLIMA NETO, F. P.pt_BR
dc.contributor.authorCORRÊA, R. X.pt_BR
dc.date.accessioned2012-04-10T01:01:40Z-
dc.date.available2012-04-10T01:01:40Z-
dc.date.created2012-03-19pt_BR
dc.date.issued2012pt_BR
dc.identifier.citationGenetics and Molecular Research, v. 11, n. 1, p. 591-596, 2012.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/919302pt_BR
dc.descriptionWe investigated seven distance measures in a set of observations of physicochemical variables of mango (Mangifera indica) submitted to multivariate analyses (distance, projection and grouping). To estimate the distance measurements, five mango progeny (total of 25 genotypes) were analyzed, using six fruit hysicochemical descriptors (fruit weight, equatorial diameter, longitudinal diameter, total soluble solids in °Brix, total titratable acidity, and pH). The distance measurements were compared by the Spearman correlation test, projection in two-dimensional space and grouping efficiency. The Spearman correlation coefficients between the seven distance measurements were, except for the Mahalanobis’ generalized distance (0.41 ? rs ? 0.63), high and significant (rs ? 0.91; P < 0.001). Regardless of the origin of the distance matrix, the unweighted pair group method with arithmetic mean grouping method proved to be the most adequate. The various distance measurements and grouping methods gave different values for distortion (-116.5 ? D ? 74.5), cophenetic correlation (0.26 ? rc ? 0.76) and stress (-1.9 ? S ? 58.9). Choice of distance measurement and analysis methods influence the characterization of genetic variability, and this should be taken into account for studies of mango.pt_BR
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectAnálise de agrupamentopt_BR
dc.subjectEstatística multivariadapt_BR
dc.subjectDivergência genéticapt_BR
dc.subjectMelhoramento genéticopt_BR
dc.subjectMultivariate statisticspt_BR
dc.subjectGrouping analysispt_BR
dc.subjectMangopt_BR
dc.titleComparison of efficiency of distance measurement methodologies in mango (Mangifera indica) progenies based on physicochemical descriptors.pt_BR
dc.typeArtigo de periódicopt_BR
dc.date.updated2018-01-26T11:11:11Zpt_BR
dc.subject.thesagroMangapt_BR
dc.subject.thesagroMangifera Indicapt_BR
riaa.ainfo.id919302pt_BR
riaa.ainfo.lastupdate2018-01-26 -02:00:00pt_BR
dc.contributor.institutionE. O. S. ALVES, Universidade Estadual de Santa Cruz, Ilhéus, BA.; C. B. M. CERQUEIRA SILVA, Universidade Estadual do Sudoeste da Bahia, Itapetinga, BA.; A. M. SOUZA, Universidade Estadual do Sudoeste da Bahia, Itapetinga, BA.; CARLOS ANTONIO FERNANDES SANTOS, CPATSA; FRANCISCO PINHEIRO LIMA NETO, CPATSA; R. X. CORRÊA, Universidade Estadual de Santa Cruz, Ilhéus, BA.pt_BR
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