Genetics parameters estimates of seeds physiologic quality of soybean genotypes grown in different areas of Minas Gerais

• Autor(a) principal: Vasconcelos, Edmar Soares de
• Data de Publicação: 2012
• Outros Autores: Reis, Múcio Silva, Sediyama, Tuneo, Cruz, Cosme Damião
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Semina. Ciências Agrárias (Online)
• Texto Completo: https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/5448
• topic: Glycine max; Genotypic determination coefficient; Genetic variation coefficient; Soybean genetic.; Glycine Max; Coeficiente de determinação genotípico; Coeficiente de variação genético; Genética da soja.

The quantitative study of different agronomic characteristics is of great importance in plant breeding programs. However the estimation of genetic parameters related to seed physiologic quality has been little explored and works of that are scarec in the literature. The objective in this work was to estimate genetic parameters for seed physiologic quality of three soybean cultivars and fourteen lineages, with late maturation cycle, that are part of five final experiments of lineages evaluation from the Program of Genetic Improvement of Soybean of the Department of Fitotecnia of UFV, led in Tupaciguara, Florestal, Unaí and two places in Capinopolis, state of Minas Gerais, in the agricultural year 2000/2001. The experimental design was random blocks, with three repetitions. The genetic parameters estimates were quadratic genotypic component, genotype x environments variance component, genotypic determination coefficient and genetic variation coefficient. The seeds physiologic quality was evaluated by germination test and seedling emergence on sand substrate. The seeds of cultivars FT 104, Doko-RC, Conquista and of lineages UFV97-61190916, UFV98-CR67 had germination over 85% in all the environmentsl. The genotypic determination coefficients based on seed germination and seedling emergence varied among the environments. The individual selection of soybean genotypes, based on the seed physiologic quality by locality, can lead to higher gains than joint selection considering all environments.