African Journal of
Biotechnology

  • Abbreviation: Afr. J. Biotechnol.
  • Language: English
  • ISSN: 1684-5315
  • DOI: 10.5897/AJB
  • Start Year: 2002
  • Published Articles: 12275

Full Length Research Paper

Identification of superior soybean lines by assessing genetic parameters and path analysis of grain yield components

Bruno Henrique Pedroso Val*
  • Bruno Henrique Pedroso Val*
  • São Paulo State University (Unesp), School of Agricultural and Veterinarian Sciences, Jaboticabal - SP, Brazil.
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Fabiana Mota da Silva
  • Fabiana Mota da Silva
  • São Paulo State University (Unesp), School of Agricultural and Veterinarian Sciences, Jaboticabal - SP, Brazil.
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Eduardo Henrique Bizari
  • Eduardo Henrique Bizari
  • São Paulo State University (Unesp), School of Agricultural and Veterinarian Sciences, Jaboticabal - SP, Brazil.
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Wallace de Sousa Leite
  • Wallace de Sousa Leite
  • São Paulo State University (Unesp), School of Agricultural and Veterinarian Sciences, Jaboticabal - SP, Brazil.
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Eder Licieri Groli
  • Eder Licieri Groli
  • São Paulo State University (Unesp), School of Agricultural and Veterinarian Sciences, Jaboticabal - SP, Brazil.
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Elise de Matos Pereira
  • Elise de Matos Pereira
  • São Paulo State University (Unesp), School of Agricultural and Veterinarian Sciences, Jaboticabal - SP, Brazil.
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Sandra Helena Uneda-Trevisoli
  • Sandra Helena Uneda-Trevisoli
  • São Paulo State University (Unesp), School of Agricultural and Veterinarian Sciences, Jaboticabal - SP, Brazil.
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Antonio Orlando Di Mauro
  • Antonio Orlando Di Mauro
  • São Paulo State University (Unesp), School of Agricultural and Veterinarian Sciences, Jaboticabal - SP, Brazil.
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  •  Received: 04 November 2016
  •  Accepted: 02 February 2017
  •  Published: 22 February 2017

Abstract

This study estimated genetic parameters, identified traits of direct and indirect correlation with the grain yield through path analysis and select superior lines, maximizing genetic gain. Two experiments were conducted in 2012/2013 season in randomized blocks with three replications. 23 lines (experiment I) and 44 lines (experiment II) were seeded. For all traits analyzed in both experiments, there was a significant difference by F test (P <0.05) between the lines. Estimates of genetic parameters have identified the traits plant height at maturity and 100-seeds weight in both experiments I and II as the most favorable to the selection by presenting heritability values above 0.5. The genotypic correlations and the path analysis indicated the plant height at physiological maturity (PHM) of greater effect on direct favorable grain yield in both experiments. The indirect selection for grain yield (GY) via the PHM trait is considered effective while superior lines identified included 10, 15, 17, 20, 32, 41, 48, and 57.

Key words: Glycine max, genetic correlation, heritability, genetic gain.