Diversidade, estrutura e relação genética de porta-enxertos de Prunus avaliados pela análise de caracteres morfológicos e de loci SSR

• Ano de defesa: 2012
• Autor(a) principal: Arge, Luis Willian Pacheco
• Orientador(a): Bianchi, Valmor João
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Pelotas
• Programa de Pós-Graduação: Programa de Pós-Graduação em Fisiologia Vegetal
• Departamento: Biologia
• País: BR
• Palavras-chave em Português: Prunus spp.; SSR; Diversidade; relação, estrutura fenotípica e genética, categorização de dados, abordagem hierárquica, abordagem Bayesiana.
• Palavras-chave em Inglês: prunus spp.; SSR; Diversity; Relationship; Genetic and phenotypic structure; Data categorization; Hierarchical approach; Bayesian approach
• Área do conhecimento CNPq: CNPQ::CIENCIAS BIOLOGICAS::BOTANICA::FISIOLOGIA VEGETAL
• Link de acesso: https://guaiaca.ufpel.edu.br/handle/123456789/1991

This study aimed to assess the diversity, structure and the genetic relationship, evaluated by phenotypic and molecular of 75 Prunus rootstocks collection belonging to EMBRAPA Clima Temperado. The phenotypic analyzes were conducted by the evaluation of 21 qualitative and 26 quantitative traits of different plant organs and molecular analyzes were based on evaluation of 17 SSR loci. The data of quantitative traits were categorized by Scott & Knott method and submitted along with the qualitative data to statistical analysis (hierarchical by Jaccard coefficient) and clustering of phenotypic relationship. Molecular data were first converted to different formats and subjected to various statistical analyzes. The UPGMA dendogram obtained by genetic distance matrix calculated by Li & Nei coefficient, using the data of SSR loci evaluated was not able to distinguish between Tsukuba-1, Tsukuba-2 and Tsukuba-3 accesses, however, showed phenotypic effective to distinguish them. The dendograms of both analyzes together with the results of Bayesian approaches allowed the identification of three pools with high relation with the different groups that make up the collection. It was found that principal coordinates analysis based on phenotypic data, proved most effective for the detection of three pools detected with the hierarchical and the Bayesian approach. With the molecular data, the principal coordinates analysis corroborated with results obtained by the dendogram and the Bayesian approach. The access of group South Brazilian originating from samples collected in orchards in the region of Pelotas, which have no known pedigree, had largely down genetic and phenotypic distance, low 0.49 per both analyzes, with Aldrighi and Capdeboscq, and other known access. These accesses were traditionally used in the past as rootstocks in the state of Rio Grande do Sul. For both phenotypic and molecular analyzes, the group access of other species contributed more to genetic and phenotypic diversity, as expected, because are different species and with low similarity of features. Phenotypic and genetic characterization proved effective for elucidating the diversity, structure and genetic, and phenotypic relationship of the rootstocks of Prunus collection.