Genetic divergence of roundup ready (RR) soybean cultivars estimated by phenotypic characteristics and molecular markers

  • OT Villela
  • SH Uneda-Trevisoli
  • FM da Silva
  • LSB Junior
  • AO di Mauro

Abstract

The aim of this study was to estimate the genetic diversity in 74 RR soybean cultivars from different Brazilian breeding programs. Analyzes were based on multivariate statistical techniques from phenotypic characteristics and microsatellite molecular markers (SSR). Ten agronomic traits were used in the analysis of the Euclidean distance, Tocher’s clustering, UPGMA clustering and principal component analysis. Eighty-six of 100 SSR primer-pairs studied were selected based on their polymorphism information content, and analyzed using Jaccard Coefficient and UPGMA clustering method. The cultivars were clustered into seven groups according to the UPGMA and Tocher’s methods, based on agronomic traits, while molecular analysis identified six groups. The phenotypic distances ranged from 0.46 to 9.79 and the dissimilarity measurements, based on SSR molecular markers, ranged from 0.07 to 0.73. Both results from agronomic traits and molecular markers showed that there is genetic variability among the RR cultivars and that the Monsanto breeding program has the most divergent germplasm. The analyzed agronomic traits and the chosen SSR markers were effective in assessing the genetic diversity among genotypes, besides proving to be useful for characterizing genetic variability of soybean germplasm.

Keywords: Glycine max, genetic variability, phenotypic characteristic, SSR markers.

African Journal of Biotechnology, Vol 13(26) 2613-2625

Author Biographies

OT Villela
Department of Plant Production, FCAV/UNESP-Jaboticabal-Sao Paulo State, Brazil
SH Uneda-Trevisoli
Department of Plant Production, FCAV/UNESP-Jaboticabal-Sao Paulo State, Brazil
FM da Silva
Department of Plant Production, FCAV/UNESP-Jaboticabal-Sao Paulo State, Brazil
LSB Junior
Department of Plant Production, FCAV/UNESP-Jaboticabal-Sao Paulo State, Brazil
AO di Mauro
Department of Plant Production, FCAV/UNESP-Jaboticabal-Sao Paulo State, Brazil
Published
2015-08-18
Section
Articles

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eISSN: 1684-5315