Follow
International Journal of Current Microbiology and Applied Sciences (IJCMAS)
IJCMAS is now DOI (CrossRef) registered Research Journal. The DOIs are assigned to all published IJCMAS Articles.
Index Copernicus ICI Journals Master List 2018 - IJCMAS--ICV 2018: 95.39 For more details click here
National Academy of Agricultural Sciences (NAAS) : NAAS Score: *5.38 (2020) [Effective from January 1, 2020]For more details click here

Login as a Reviewer

Indexed in



National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2020)
[Effective from January 1, 2020]
For more details click here

ICV 2018: 95.39
Index Copernicus ICI Journals Master List 2018 - IJCMAS--ICV 2018: 95.39
For more details click here

See Guidelines to Authors
Current Issues

Original Research Articles

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

Int.J.Curr.Microbiol.App.Sci.2017.6(9): 2506-2516
DOI: https://doi.org/10.20546/ijcmas.2017.609.308


Screening and Estimation of Allelic Differentiation in Indian mustard Using SSR Markers for Background Selection
Subaran Singh1,2, Vijay Veer Singh1*, Supriya Ambawat1,2, Monika Dubey1 and Dhiraj Singh1
1ICAR-Directorate of Rapeseed-Mustard Research, Sewar, Bharatpur – 321 303,Rajasthan, India
2Department of Agriculture Sciences and Research, SGV University,Jaipur-302 017, Rajasthan, India
*Corresponding author
Abstract:

In the present study, 15 genotypes of Brassica juncea including white rust resistant and double low quality were characterized and allelic differentiation was determined using 453 SSRs and 139 (30.7%) showed polymorphism with 308 alleles. Polymorphic information content ranged from 0.101 to 0.668, with the average value of 0.474, revealing that much variation was present among these genotypes. The cluster analysis gave three major groups where white rust resistant genotypes were grouped in one major cluster, double low quality genotypes in second cluster while the recipients were grouped in the third cluster indicating that grouping of genotypes based on SSRs corresponded well to their known pedigree data. These observations suggested that SSRs are proficient for evaluating genetic variation and relationships among different varieties of mustard. Further, findings of this study will be useful for DNA fingerprinting, varietal identification which could help during background selection for marker-assisted backcross breeding programs.


Keywords: Brassica juncea, Genetic diversity, Molecular characterization. SSR markers, Varietal identification
Download this article as Download

How to cite this article:

Subaran Singh, Vijay Veer Singh, Supriya Ambawat, Monika Dubey and Dhiraj Singh. 2017. Screening and Estimation of Allelic Differentiation in Indian mustard Using SSR Markers for Background Selection.Int.J.Curr.Microbiol.App.Sci. 6(9): 2506-2516. doi: https://doi.org/10.20546/ijcmas.2017.609.308