QTL mapping for protein content in soybean cultivated in two tropical environments

• Autor(a) principal: Soares, Taís Cristina Bastos
• Data de Publicação: 2008
• Outros Autores: Good-God, Pedro Ivo Vieira, Miranda, Fábio Demolinari de, Soares, Yaska Janaína Bastos, Schuster, Ivan, Piovesan, Newton Deniz, Barros, Everaldo Gonçalves de, Moreira, Maurilio Alves
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Pesquisa Agropecuária Brasileira (Online)
• Texto Completo: https://seer.sct.embrapa.br/index.php/pab/article/view/1080
• topic: Glycine max; linkage map; molecular markers; recombinant inbred lines; quantitative trait loci; Glycine max; mapa de ligação; marcador molecular; linhagem recombinante endogâmica; locos de características quantitativas

The objectives of this study were to detect quantitative trait loci (QTL) for protein content in soybean grown in two distinct tropical environments and to build a genetic map for protein content. One hundred eighteen soybean recombinant inbred lines (RIL), obtained from a cross between cultivars BARC 8 and Garimpo, were used. The RIL were cultivated in two distinct Brazilian tropical environments: Cascavel county, in Paraná, and Viçosa county, in Minas Gerais (24º57'S, 53º27'W and 20º45'S, 42º52'W, respectively). Sixty-six SSR primer pairs and 65 RAPD primers were polymorphic and segregated at a 1:1 proportion. Thirty poorly saturated linkage groups were obtained, with 90 markers and 41 nonlinked markers. For the lines cultivated in Cascavel, three QTL were mapped in C2, E and N linkage groups, which explained 14.37, 10.31 and 7.34% of the phenotypic variation of protein content, respectively. For the lines cultivated in Viçosa, two QTL were mapped in linkage groups G and #1, which explained 9.51 and 7.34% of the phenotypic variation of protein content. Based on the mean of the two environments, two QTL were identified: one in the linkage group E (9.90%) and other in the group L (7.11%). In order for future studies to consistently detect QTL effects of different environments, genotypes with greater stability should be used.