Molecular variability of oat based on gene specific markers


  • Želmí­ra Balážová Slovak University of Agriculture, Faculty of Biotechnology and Food Sciences, Department of Biochemistry and Biotechnology, Tr. A. Hlinku 2, 949 76 Nitra
  • Zdenka Gálová Slovak University of Agriculture, Faculty of Biotechnology and Food Sciences, Department of Biochemistry and Biotechnology, Tr. A. Hlinku 2, 949 76 Nitra
  • Martin Vivodí­k Slovak University of Agriculture, Faculty of Biotechnology and Food Sciences, Department of Biochemistry and Biotechnology, Tr. A. Hlinku 2, 949 76 Nitra
  • Lenka Petrovičová Slovak University of Agriculture, Faculty of Biotechnology and Food Sciences, Department of Biochemistry and Biotechnology, Tr. A. Hlinku 2, 949 76 Nitra
  • Radomí­ra Hornyák Gregáňová Slovak University of Agriculture, Faculty of Economics and Management, Department of Mathematics, Tr. A. Hlinku 2, 949 76 Nitra, Slovakia



Avena sativa L., SCoT technique, genetic diversity, polymorphism, dendrogramiversity, dendrogram


Oat (Avena sativa a grass planted as a cereal cropCultivation of oat is increasing in the recent years because of its good nutrition value. The aim of our study was to analyze genetic variability of oat accessions based on SCoT markers. Eighteen primers were used to study polymorfism of 8 oat genotypes. All 18 primers produced polymorphic and reproducible data. Altogether 153 different fragments were amplified of which 67 were polymorphic with an average number of 3.72 polymorphic fragments per genotype. The number of polymorphic fragments ranged from one (SCoT9, SCoT62) to nine (SCoT40). The percentage of polymorphic bands ranged from 14.29% (SCoT9) to 60% (SCoT59) with an average of 41.62%. Genetic polymorphism was characterized based on diversity index (DI), probability of identity (PI) and polymorphic information content (PIC). The diversity index of the tested SCoT markers ranged from 0 (SCoT9, SCoT62) to 0.878 (SCoT40) with an average of 0.574. The polymorphic information content ranged from 0 (SCoT9, SCoT62) to 0.876 (SCoT40) with an average of 0.524. Dendrogram based on hierarchical cluster analysis using UPGMA algorithm grouped genotypes into two main clusters. Two genotypes, Taiko and Vok were genetically the closest. Results showed the utility of SCoT markers for estimation of genetic diversity of oat genotypes leading to genotype identification.


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How to Cite

Balážová, Želmí­ra ., Gálová, Z. ., Vivodí­k, M. ., Petrovičová, L. ., & Gregáňová, R. H. (2017). Molecular variability of oat based on gene specific markers. Potravinarstvo Slovak Journal of Food Sciences, 11(1), 332–337.

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