Desempenho de famílias de feijoeiro comum obtidas por diferentes métodos de condução de populações segregantes.

• Ano de defesa: 2009
• Autor(a) principal: SILVA, Adélia Cristina Fernandes
• Orientador(a): MELO, Patrícia Guimarães Santos
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Goiás
• Programa de Pós-Graduação: Mestrado em Agronomia
• Departamento: Ciências Agrárias
• País: BR
• Palavras-chave em Português: fibra bruta; SSD; bulk; bulk dentro de famílias; parâmetros genéticos.; 1.Fibra Bruta 2. SSD 3.Bulk dentro de famílias 4. Parâmetros genéticos
• Palavras-chave em Inglês: crude fiber; SSD; bulk; bulk within F2; genetic parameters
• Área do conhecimento CNPq: CNPQ::CIENCIAS AGRARIAS::AGRONOMIA
• Link de acesso: http://repositorio.bc.ufg.br/tede/handle/tde/2653

The common bean (Phaseolus vulgaris L.) stands out in Brazil because of its economic and, above all social importance, being an essential source of fiber of the human daily diet. To quantify the fiber content and the genetic variability in Brazilian genotypes is very important because it can ensure the success of breeding programs, evaluating the relative efficiency of the methods for conducting segregating populations. The objective of this research was to compare the genetic potential of segregating populations of the common bean submitted to different breeding methods for the character of crude fiber content and grain yield. Families were obtained by hybridization between the lines CNFC 7812 and CNFC 7829 with 12.7% and 17% of fiber content respectively. The families were conducted by three different breeding methods: Bulk, Bulk within F2 and SSD until the F7 generation. The design to analyze the families was the 14x14 lattice with three replications, conducted in two locations: Santo Antonio/GO and Ponta Grossa/PR. The crude fiber content and grain yield were evaluated in all families from the three methods. The components of variance, genetic and phenotypical parameters were then estimated from the mean square expected values. Based on the results, it can be concluded that for the crude fiber character and the grain yield, the best method was the Bulk within families, which generated the greatest number of families of high rank characteristic. In this research, this method therefore was superior for both SSD and Bulk methods. It was observed among the evaluated families obtained from the crossing CNFC 7812 x CNFC 7829, enough genetic variability to be explored for the characters of crude fiber content and grain yield.