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dc.contributor.authorMAIA, M. C. C.
dc.contributor.authorARAÚJO, M. F. C.
dc.contributor.authorARAÚJO, L. B. de
dc.contributor.authorDIAS, C. T. dos S.
dc.contributor.authorOLIVEIRA, L. C. de
dc.contributor.authorCRUZ, C. D.
dc.contributor.authorVASCONCELOS, L. F. L.
dc.contributor.authorMACEDO, L. M.
dc.contributor.authorYOKOMIZO, G. K. I.
dc.contributor.authorLIMA, P. S. da C.
dc.date.accessioned2018-08-02T00:56:00Z-
dc.date.available2018-08-02T00:56:00Z-
dc.date.created2018-08-01
dc.date.issued2018
dc.identifier.citationEuropean Scientific Journal, v. 14, n. 15, p. 421-433, 2018.
dc.identifier.issn1857-7881 (print) / 1857-7431 (online)
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1093784-
dc.descriptionThe mangabeira its figure out among the mains native fruit tree explored by extractivism in Brasil. The objective evaluate the genetic divergence of landraces in orientation of crosses using multivariate techinics. The complete random blocks experimental design with four repetitions was used to evaluate twelve quantitative characteristics from twelve genotypes elite of mangabeiras concerning to divergence genetic using the software R (2012). Three groups genetically divergent were composed by biplot graphic and stored by UPGMA cluster analysis (Unweighted Pair-Group Method using Arithmetic Average / Weighted Clustering Method not using the Arithmetic Mean) showing genetic diversity and variability among 12 mangabeira accesses. Forty-four possible crosses are planned among genotypes of genetically dissimilar three groups and six among individuals in group III. Multivariate techniques were appropriate in the study of genetic divergence.
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectFitomejoramiento
dc.subjectVariación genética
dc.subjectAnálisis estadístico
dc.subjectAnálisis de multivarianza
dc.titleGenetic divergence among a breeding population of Hancornia speciosa Gomes (Mangabeira) as determined by multivariate statistical methods.
dc.typeArtigo de periódico
dc.date.updated2018-08-02T00:56:00Zpt_BR
dc.subject.thesagroMelhoramento Genético Vegetal
dc.subject.thesagroMangaba
dc.subject.thesagroHancornia Speciosa
dc.subject.thesagroApocynaceae
dc.subject.thesagroVariação Genética
dc.subject.thesagroMétodo Estatístico
dc.subject.nalthesaurusPlant breeding
dc.subject.nalthesaurusGenetic variation
dc.subject.nalthesaurusStatistical analysis
dc.subject.nalthesaurusMultivariate analysis
riaa.ainfo.id1093784
riaa.ainfo.lastupdate2018-08-01
dc.identifier.doi10.19044/esj.2018.v14n15p421
dc.contributor.institutionMARIA CLIDEANA CABRAL MAIA, CNPAT
dc.contributor.institutionMirian Fernandes Carvalho Araújo, Universidade Federal de Uberlândia, Faculdade de Matemáticaeng
dc.contributor.institutionLucio Borges de Araújo, Universidade Federal de Uberlândia, Faculdade de Matemáticaeng
dc.contributor.institutionCarlos Tadeu dos Santos Dias, Universidade de São Paulo, Escola de Agricultura "Luiz de Queiroz"eng
dc.contributor.institutionLUIS CLAUDIO DE OLIVEIRA, CPAF-ACeng
dc.contributor.institutionCosme Damião Cruz, Universidade Federal de Viçosa, Departamento de Biologia Geraleng
dc.contributor.institutionLUCIO FLAVO LOPES VASCONCELOS, CPAMNeng
dc.contributor.institutionLuciano Medina Macedo, Universidade do Paraná, Departamento de Genética e Melhoramento de Plantas, Tecnologia Federaleng
dc.contributor.institutionGILBERTO KEN ITI YOKOMIZO, CPAF-APeng
dc.contributor.institutionPAULO SARMANHO DA COSTA LIMA, CPAMN.eng
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