Mapeamento de QTLs associados a conteúdo de proteína, óleo e componentes de produção em soja

• Ano de defesa: 2008
• Autor(a) principal: Rodrigues, Josiane Isabela da Silva
• Orientador(a): Moreira, Maurílio Alves
• Banca de defesa: Ferreira, Marcia Flores da Silva , Ferreira, Adésio
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Viçosa
• Programa de Pós-Graduação: Mestrado em Genética e Melhoramento
• Departamento: Genética animal; Genética molecular e de microrganismos; Genética quantitativa; Genética vegetal; Me
• País: BR
• Palavras-chave em Português: Marcadores moleculares; Mapeamento genético; Detecção de QTL
• Palavras-chave em Inglês: Molecular markers; Genetic mapping; QTL detection
• Área do conhecimento CNPq: CNPQ::CIENCIAS BIOLOGICAS::GENETICA::GENETICA MOLECULAR E DE MICROORGANISMOS
• Link de acesso: http://locus.ufv.br/handle/123456789/4689

The improvement programs have been concerned, more and more, with the development of productive varieties and with high protein content and oil. The use of molecular markers in studies of genetic mapping has been taking the identification of QTLs involved with the genetic control of several characteristics of interest in soybean, above all, productivity and protein content and oil of the grain. In spite of the considerable number of QTLs mapped for such characters available in the literature, it still exist limited and inconsistent information about the confirmation of these QTLs. This work had as objectives the identification of QTLs associated to protein content (PTN) and oil (OIL) and production components in soybean (weight of seeds for plant - WS; weigh of a hundred seeds - WH, number of nodules for plant - NN, number of seeds for plant - NS). The study of QTL mapping was permormed from 206 F2 individuals obtained of the crossing among the soybean line CS3035PTA276-1-5-2 (high protein and low oil content) and the variety UFVS2012 (low protein and high oil content). F3 plants were phenotypic evaluated for 11 characteristics of the soybean in an experiment that consisted of three repetitions or blocks, so that each F3 family was sowed in three repetitions. The results of the variance analyses and of the estimates of the genetic parameters of the characteristics indicated the existence of genetic variability in the population for the eleven characteristics at the level of significance of 1%. Besides, the existence of contrasts among the averages of the genitors was evidenced for most of the characteristics. With base in these results, the genetic potential of the population was confirmed for the study of QTL mapping. Forty eight microsatellite markers had his segregation assessed in the 206 F2 individuals. Were obtained nine linkage groups, formed by the grouping of 25 markers. The analyses of association of simple mark and simple and composed interval mapping were used to detect and to map genomic areas associated to the characteristics in subject. The analyses of QTL were driven by linkage group separately and addressed to the characteristics of the grain and to the production components, main focus of the work. Were identified four QTLs associated to the protein content in the linkage groups A1, D1a, G and I that explained among 6,24% and 18,94% of the phenotypic variation of the characteristic. Three QTLs for content oil were detected in the groups A1, I and O what explained among 17,26% and 25,93% of the variation of the characteristic. For production of grains were identified two QTLs in the linkage groups A1 and D1a that explained 12,32% and 9,03% of the phenotypic variation, respectively. In the linkage group A1 were still detected QTLs associated to the number of nodules by plant and number of seeds for plant. These QTLs explained 9,43% and 7,19% of the variation to these phenotypes, respectively. The population used in this work demonstrated great potential for the QTL mapping. And the considerable number of significant associations detected between markers and characteristics presupposes the existence of others QTLs that can be characterized by the analysis of more markers in certain areas.