Caboclo - Repositório Institucional UFRB CCAAB - Centro de Ciências Agrárias, Ambientais e Biológicas PPG-RGV - Programa de Pós-Graduação em Recursos Genéticos Vegetais CCAAB - PPG-RGV - Artigos publicados em periódicos
Use este identificador para citar ou linkar para este item: http://ri.ufrb.edu.br/jspui/handle/123456789/3560
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Campo DCValorIdioma
dc.creatorFilho, Osvaldo Sebastião De Oliveira-
dc.date.accessioned2024-09-19T17:31:38Z-
dc.date.available2024-09-19T17:31:38Z-
dc.date.issued2014-05-
dc.identifier.urihttp://ri.ufrb.edu.br/jspui/handle/123456789/3560-
dc.languageporpt_BR
dc.publisherUniversidade Federal do Recôncavo da Bahiapt_BR
dc.rightsAcesso Abertopt_BR
dc.subjectManihot esculenta Crantzpt_BR
dc.subjectGenetic diversitypt_BR
dc.subjectGenetic resourcespt_BR
dc.subjectManagement, usept_BR
dc.titleSeleção de descritores informativos caracterização de germoplasma de mandioca.pt_BR
dc.typeTesept_BR
dc.description.resumoABSTRACT: Brazil is considered the center of diversity of cassava (Manihot esculenta Crantz). Therefore, it is necessary to invest in its use for the development of products and technologies. This study aimed to investigate two main points for the germplasm management and conservation, which are the selection of most informative descriptors for germplasm characterization and evaluation, and the clustering of genetic diversity based on qualitative and quantitative descriptors. Ninety-five cassava accessions previously characterized for 51 morpho-agronomic descriptors were analyzed. In the first study multiple correspondence analysis (MCA), based on four methods of selecting descriptors were used. It was observed that about 30 descriptors were able to represent more than 90% of the genetic variability in the first three axes of the MCA. Moreover, 32 morpho-agronomic descriptors with high ability to discriminate cassava germplasm and high correlation with the full set of descriptors (0.81) were selected. In the second study the genetic variation of cassava accessions based on quantitative traits (QT) and joint analysis (QQT) (quantitative and qualitative), using the WardMLM method was evaluated. Five and four groups were identified based on the QT and QQT analysis, respectively. In general, it was observed that most accessions presented high maximum assignment probability (> 0.90) within each cluster. Differences in clustering according to the type of data indicate that quantitative and qualitative traits possibly analyze different genomic regions. However, the joint analysis using the Ward-MLM procedure clustered genotypes with high phenotypic differences.pt_BR
dc.degree.levelMestrado Acadêmicopt_BR
dc.contributor.advisor1Oliveira, Eder Jorge de-
dc.contributor.advisor1LattesLattes: 3533844615312370pt_BR
dc.contributor.advisor-co1Santos, Vanderlei da Silva-
dc.contributor.advisor-co1LattesLattes: 8156753554481767pt_BR
dc.contributor.referee1Costa, Maria Angélica Pereira De Carvalho-
dc.creator.LattesNAO LOCALIZADOpt_BR
dc.publisher.countryBrasilpt_BR
dc.publisher.departmentCCAAB - Centro de Ciências Agrárias, Ambientais e Biológicaspt_BR
dc.publisher.programPrograma de Pós-Graduação em Recursos Genéticos Vegetaispt_BR
dc.publisher.initialsUFRBpt_BR
dc.subject.cnpqCNPQ::CIENCIAS BIOLOGICASpt_BR
Aparece na(s) coleção(ões):CCAAB - PPG-RGV - Artigos publicados em periódicos

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