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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 14, Issue:5, May, 2025

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

Int.J.Curr.Microbiol.App.Sci.2025.14(5): 139-147
DOI: https://doi.org/10.20546/ijcmas.2025.1405.014


Molecular Characterization and Genetic Diversity Assessment of Bread Wheat [Triticum aestivum (L.) em. Thell] Genotypes Using SSR Markers
Manisha Kumari1, 2*, Hemlata Sharma1, Amit Dadeech1 and Abhay Dashora1
1Department of Genetics & Plant Breeding, Rajasthan College of Agriculture, MPUAT, Udaipur 313001, Rajasthan, India 2Department of Horticulture, University of Georgia, Tifton, GA 31793, USA
*Corresponding author
Abstract:

An experiment was conducted using a randomized block design (RBD) with three replications during the Rabi season of 2020-21 at the Instructional Farm, RCA, MPUAT, Udaipur. The genetic diversity of ten bread wheat (Triticum aestivum L. em. Thell) genotypes was assessed using Simple Sequence Repeat (SSR) DNA markers along with fifteen morpho-physiological traits. A total of ten SSR primers were used, all of which produced polymorphic amplification, generating a total of 64 polymorphic bands. The polymorphism information content (PIC) values for the polymorphic primers ranged from 0.39 (GWM 160) to 0.92 (XGWM 132). The number of alleles per locus varied from 1 (GWM 160 and GWM 165) to a maximum of 4 (WMS 5, XGWM 484, and XGWM 132). A positive correlation was observed between the PIC value and the variation in the repeat motif for each SSR marker. The broader repeat motif ranges of WMS 5 {(TC)n(T)n(GT)n(GA)n} and XGWM 132 {(GA)n(GAA)n} contributed to their higher allelic diversity, each detecting four alleles. Cluster analysis using the Unweighted Pair Group Method with Arithmetic Mean (UPGMA) grouped the ten wheat genotypes into two major clusters, which were further divided into four sub-clusters based on similarity coefficient values.


Keywords: Bread wheat, Genetic diversity, Molecular characterization, SSR


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How to cite this article:

Manisha Kumari, Hemlata Sharma, Amit Dadeech and Abhay Dashora. 2025. Molecular Characterization and Genetic Diversity Assessment of Bread Wheat [Triticum aestivum (L.) em. Thell] Genotypes Using SSR Markers.Int.J.Curr.Microbiol.App.Sci. 14(5): 139-147. doi: https://doi.org/10.20546/ijcmas.2025.1405.014
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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