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Rana, M.K., Archak, S. and Singh, R. (2012) An E-Manual on “Molecular Marker Techniques for Genotype Identification”. NBPGR, Pusa Campus, New Delhi.

has been cited by the following article:

  • TITLE: An Assessment of Genetic Relatedness between Soybean [Glycine max (L.) Merrill] Cultivars Using SSR Markers

    AUTHORS: Jayeeta Ghosh, P. D. Ghosh, P. R. Choudhury

    KEYWORDS: SSR, UPGMA, Similarity Coefficient, PIC, Genetic Base

    JOURNAL NAME: American Journal of Plant Sciences, Vol.5 No.20, September 29, 2014

    ABSTRACT: In this present investigation, simple sequence repeat (SSR) analysis was used to determine the genetic relatedness among 32 soybean (Glycine max (L.) Merr.) cultivars from NRC for soybean, Madhya Pradesh. Among them 10 primer pairs showed 100% amplification. Mainly three primer pairs could amplify polymorphic SSRs from all of these cultivars. The polymorphic information content (PIC) among cultivars varied from 0.21 (S26) to 0.83 (S27) with an average of 0.51. Pairwise coefficients of genetic similarity between all genotypes ranged from 0.76 to 1.00. Unweighted pair-group method arithmetic average (UPGMA) analysis allocated the cultivars in 2 major clusters or groups and 6 sub-clusters. Of the two major clusters one contained 20 cultivars and the other contained 12 cultivars. The largest cluster was again divided into three sub-clusters I, II and III with 12, 2 and 6 cultivars respectively and the smallest cluster was divided into three sub-clusters IV, V, VI containing 7, 4 and 2 cultivars respectively. These results suggest that SSR markers are efficient for measuring genetic relatedness among soybeans irrespective of a wide agro-climatic zone. Genetic relationship assessments among soybean cultivars in India could provide useful information for efficient utilization of these materials, especially for widening the genetic base.