Comparison of efficiency of distance measurement methodologies in mango (Mangifera indica) progenies based on physicochemical descriptors.
Autor(a) principal: | |
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Data de Publicação: | 2012 |
Outros Autores: | , , , , |
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/919302 |
Resumo: | We 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. |
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Comparison of efficiency of distance measurement methodologies in mango (Mangifera indica) progenies based on physicochemical descriptors.Análise de agrupamentoEstatística multivariadaDivergência genéticaMelhoramento genéticoMultivariate statisticsGrouping analysisMangoMangaMangifera IndicaWe 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.E. 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.ALVES, E. O. S.SILVA, C. B. M. C.SOUZA, A. M.SANTOS, C. A. F.LIMA NETO, F. P.CORRÊA, R. X.2012-04-10T01:01:40Z2012-04-10T01:01:40Z2012-03-1920122018-01-26T11:11:11Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleGenetics and Molecular Research, v. 11, n. 1, p. 591-596, 2012.http://www.alice.cnptia.embrapa.br/alice/handle/doc/919302enginfo: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:EMBRAPA2017-08-15T23:43:03Zoai:www.alice.cnptia.embrapa.br:doc/919302Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542017-08-15T23:43:03falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542017-08-15T23:43:03Repositório 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 |
Comparison of efficiency of distance measurement methodologies in mango (Mangifera indica) progenies based on physicochemical descriptors. |
title |
Comparison of efficiency of distance measurement methodologies in mango (Mangifera indica) progenies based on physicochemical descriptors. |
spellingShingle |
Comparison of efficiency of distance measurement methodologies in mango (Mangifera indica) progenies based on physicochemical descriptors. ALVES, E. O. S. Análise de agrupamento Estatística multivariada Divergência genética Melhoramento genético Multivariate statistics Grouping analysis Mango Manga Mangifera Indica |
title_short |
Comparison of efficiency of distance measurement methodologies in mango (Mangifera indica) progenies based on physicochemical descriptors. |
title_full |
Comparison of efficiency of distance measurement methodologies in mango (Mangifera indica) progenies based on physicochemical descriptors. |
title_fullStr |
Comparison of efficiency of distance measurement methodologies in mango (Mangifera indica) progenies based on physicochemical descriptors. |
title_full_unstemmed |
Comparison of efficiency of distance measurement methodologies in mango (Mangifera indica) progenies based on physicochemical descriptors. |
title_sort |
Comparison of efficiency of distance measurement methodologies in mango (Mangifera indica) progenies based on physicochemical descriptors. |
author |
ALVES, E. O. S. |
author_facet |
ALVES, E. O. S. SILVA, C. B. M. C. SOUZA, A. M. SANTOS, C. A. F. LIMA NETO, F. P. CORRÊA, R. X. |
author_role |
author |
author2 |
SILVA, C. B. M. C. SOUZA, A. M. SANTOS, C. A. F. LIMA NETO, F. P. CORRÊA, R. X. |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
E. 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. |
dc.contributor.author.fl_str_mv |
ALVES, E. O. S. SILVA, C. B. M. C. SOUZA, A. M. SANTOS, C. A. F. LIMA NETO, F. P. CORRÊA, R. X. |
dc.subject.por.fl_str_mv |
Análise de agrupamento Estatística multivariada Divergência genética Melhoramento genético Multivariate statistics Grouping analysis Mango Manga Mangifera Indica |
topic |
Análise de agrupamento Estatística multivariada Divergência genética Melhoramento genético Multivariate statistics Grouping analysis Mango Manga Mangifera Indica |
description |
We 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. |
publishDate |
2012 |
dc.date.none.fl_str_mv |
2012-04-10T01:01:40Z 2012-04-10T01:01:40Z 2012-03-19 2012 2018-01-26T11:11:11Z |
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 |
Genetics and Molecular Research, v. 11, n. 1, p. 591-596, 2012. http://www.alice.cnptia.embrapa.br/alice/handle/doc/919302 |
identifier_str_mv |
Genetics and Molecular Research, v. 11, n. 1, p. 591-596, 2012. |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/919302 |
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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1794503361945403392 |