Genetic parameters estimation, correlations and selection indexes for six agronomic traits in soybean lines F8

  • Wallace de Sousa Leite Faculdade de ciências agrárias e veterinárias, Universidade Estadual Paulista, Jaboticabal, São Paulo, Brasil.
  • Bruno Ettore Pavan Faculdade de Engenharia, Universidade Estadual Paulista, Ilha Solteira, São Paulo, Brasil.
  • Carlos Humberto Aires Matos Filho Departamento de Engenharias, Universidade Federal do Piauí, Campus Bom Jesus, Bom Jesus, Piauí, Brasil.
  • Francisco de Alcantara Neto Departamento de Fitotecnia, Universidade Federal do Piauí, Teresina, Piauí, Brasil.
  • Cleidismar Barbosa de Oliveira Departamento de Engenharias, Universidade Federal do Piauí, Campus Bom Jesus, Bom Jesus, Piauí, Brasil.
  • Fabiano Soares Feitosa Departamento de Engenharias, Universidade Federal do Piauí, Campus Bom Jesus, Bom Jesus, Piauí, Brasil.
Keywords: correlations, selection criteria, Glycine max, heritability, grain yield

Abstract

This study aimed to estimate genetic and phenotypic parameters and provide knowledge for breeding programs aiming at the selection of the main characters of assessment in soybeans. The experiment was installed in Sabia farm, located at ‘Serra das Laranjeiras” , in the municipality of Currais, Piaui, Brazil, during the 2011/2012 crop year using a randomized block design with 27 genotypes and three repetitions. The evaluated variables were: height at flowering (APF), height at maturity (APM), pod insertion height (AIV), grain yield (PG), number of nodes (NN) and number of pods (NV). The obtained heritability coefficients were from medium to high, for all evaluated characters, ranging from 0.53 to 0.94, for grain yield and plant height at flowering, respectively. These high heritability were confirmed by the high degree of genetic variation and the CVg/CVe ratio, indicating a high prospect of success for the phenotypic selection. The higher positive genetic correlations and the significant (P <0.01) were observed between grain yield and the variables number of nodes (0.807**) and number of pods (0.781**), indicating that the selection of plants with higher number of nodes and pods could result in more productive plants. The Williams-based index presented the highest percentage of gain with the selection offor the grain yield (21.84%) variable.

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Author Biographies

Wallace de Sousa Leite, Faculdade de ciências agrárias e veterinárias, Universidade Estadual Paulista, Jaboticabal, São Paulo, Brasil.
Produção vegetal/melhoramento genético de plantas
Bruno Ettore Pavan, Faculdade de Engenharia, Universidade Estadual Paulista, Ilha Solteira, São Paulo, Brasil.
Departamento de Agronomia
Published
27-12-2016
How to Cite
Leite, W. de S., Pavan, B. E., Matos Filho, C. H. A., Neto, F. de A., Oliveira, C. B. de, & Feitosa, F. S. (2016). Genetic parameters estimation, correlations and selection indexes for six agronomic traits in soybean lines F8. Comunicata Scientiae, 7(3), 302-310. https://doi.org/10.14295/cs.v7i3.1176
Section
Original Article