International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 8, Issue:4, April, 2019

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : /
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2019.8(4): 173-182

Molecular Characterization and Genetic Diversity Assessment of Soybean Varieties using SSR Markers
G.K. Koutu, Arpita Shrivastava, Yogendra Singh* and S. Tiwari
Department of Plant Breeding & Genetics, Jawaharlal Nehru Krishi Vishwa Vidyalaya, Jabalpur (M.P), India
*Corresponding author

Soybean (Glycine max (L.) Merrill] one of nature’s most versatile crops is increasingly becoming an important food and cash crop in the tropics due to its high nutrient quality and adaptability to various growing environments. Soybean is a grain legume crop. As food and feed soybean plays an important role throughout the different countries of the world. It provides oil as well as protein to the living beings. In present study Molecular characterization and genetic diversity assessment of soybean varieties was done using SSR markers. For this eight Soybean varieties were selected and 54 SSRs primer pairs, distributed across the integrated linkage map of soybean were used. The 8 varieties of soybean were profiled with 54 polymorphic SSR markers which produced 216 alleles. The allele number for each SSR locus varied from two to six with an average of 4.00. The fragment size of these 216 alleles was ranged from 95 to 437 bp. The number of alleles per primer pair (locus) ranged from 2 (Satt 207, Satt 671, Satt 414 and Satt 327) to 6 for Satt 552, Sat_107, Satt 002 and Satt 323 with an average of 4.00. All loci were polymorphic and were detected by Gene Tool software version In the clustering pattern the dendogram generated based on SSR markers grouped the 08 Soybean varieties into two clusters having 06 and 02 varieties respectively.

Keywords: Soybean, Molecular Characterization, Genetic Diversity, SSR markers, Allele

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How to cite this article: Koutu, G.K., Arpita Shrivastava, Yogendra Singh and Tiwari, S. 2019. Molecular Characterization and Genetic Diversity Assessment of Soybean Varieties using SSR Markers. Int.J.Curr.Microbiol.App.Sci. 8(04): 173-182. doi: 8(4): 173-182. doi:
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.