International Journal of Agricultural Sciences

ISSN 2167-0447

International Journal of Agricultural Sciences ISSN: 2167-0447 Vol. 4 (4), pp. 151-156, April, 2014. © International Scholars Journals

Full Length Research Paper

Estimation of genetic variability in Linseed (Linum usitatissimum L.) using molecular marker: Molecular characterization of linseed genotypes

Ahsan Iqbal 1, Sehar Nawaz1, Allah Ditta Babar1, Shazia Anwer Bukhari4, Muhammad Amjad3, M. Ahsan Khan2, Sohail Ahmed Khan1 and Nisar Ahmed1*

1Centre of Agricultural Biochemistry and Biotechnology (CABB), University of  Agriculture, Faisalabad, Pakistan.

2Department of Entomology, University of Agriculture, Faisalabad, Pakistan.

3Institute of Horticultural Sciences, University of Agriculture, Faisalabad, Pakistan.

4Department of Applied Chemistry and Bio-Chemistry, G. C. University, Faisalabad, Pakistan.

*Corresponding author: E.mail:[email protected]

Accepted 13 January, 2013

Abstract

Linum usitatissimum, L. accessions were analyzed using RAPD (Random Amplified Polymorphic DNA) markers to assess the genetic variability among 20 genotypes. For   optimization of sampling, development of appropriate breeding strategy and estimation of genetic diversity RAPD is an efficient and cost effective molecular tool. Different primers were used for the analysis yielding a total of 83 loci, out of which 51 were polymorphic, showing 64% of overall polymorphism. A dendrogram was generated based on the similarity matrix by the Un weighted Pair Group Method with Arithmetic Mean (UPGMA), wherein the flax genotypes were grouped in five major clusters. The maximum similarity was observed between genotypes V-38 and V-40 (98.8%). While the most diverse genotypes were V-28 and V-21 (71.08%). Analysis has given no evidential grouping based on straight pedigrees relationships, but wider genetic background of genotype can be seen. The most diverse genotypes were identified and suggested their use in breeding programs and mapping the linseed genetic pool.

Key words: Linseed, RAPD, genetic diversity, molecular markers, cluster analysis, polymorphism.