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Crop and Pasture Science Crop and Pasture Science Society
Plant sciences, sustainable farming systems and food quality
RESEARCH ARTICLE

Inter-simple sequence repeat (ISSR)-based diversity assessment among faba bean genotypes

Salem S. Alghamdi A C , Sulieman A. Al-Faifi A , Hussein M. Migdadi A , Megahed H. Ammar A and K. H. M. Siddique B
+ Author Affiliations
- Author Affiliations

A Legume Research Unit, Plant Production Department, College of Food and Agricultural Sciences, King Saud University, PO Box 2460, Riyadh 11451, Saudi Arabia.

B The UWA Institute of Agriculture, The University of Western Australia, 35 Stirling Highway, Crawley, WA 6009, Australia.

C Corresponding author. Email: salem@ksu.edu.sa

Crop and Pasture Science 62(9) 755-760 https://doi.org/10.1071/CP11045
Submitted: 23 February 2011  Accepted: 21 September 2011   Published: 10 November 2011

Abstract

Thirty-four faba bean (Vicia faba L.) including local and exotic materials were subjected to molecular diversity assessment using 12 inter-simple sequence repeat primers. The molecular data showed unambiguous and qualitative (present or absent) fragments that gave repeatable patterns were considered for the analysis. The 12 selected primers produced a total of 71 fragments (loci), all of which were polymorphic using the 34 collected faba genotypes. The results of clustering Nei’s genetic distance using the unweighted pair group method with arithmetic average algorithm at the 0.52 dissimilarity separated genotypes to six main clusters with many subclusters. The local genotypes were distributed to most of all clusters. Genotypes collected from Egypt and King Saud University was grouped together in two clusters, ICARDA’s genotypes in two clusters and two genotypes (H8, local determent genotype and 987–255–95 line) formed a single cluster. The high number of subclusters formed in this study indicated that there is a high genetic variability related to collection sites and it should be utilised in faba bean improvement.

Additional keywords: faba bean, genetic diversity, ISSR, PCR.


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