National Academy of Agricultural Sciences (NAAS)
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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 |
An experiment consisting of 24 genotypes of Tomato was conducted during the year 2016 at the Research Farm and Molecular Biology Laboratory of School of Biotechnology, SKUAST-J, Chatha. Seeds were sown in pots and 21 days old leaflets were used for DNA extraction. For molecular characterization, 24 genotypes of tomato were subjected to banding profiling by using 9 SSR and 13 RAPD markers. A total of 45 alleles were detected with an average of 5.00 allele per genotype for SSR markers. Out of 45 alleles 43 were found to be polymorphoic. Similarly, RAPD marker detected 203 alleles, out of which 191 alleles were polymorphic with different product sizes. Maximum number of bands were produced by A1773078 (8 bands), AW03747 (8 bands) and Y09371 (8 bands) for SSR markers and for RAPD marker highest number of band was observed by OPO-20(41 bands). Polymorphic information content (PIC value) ranged from 0.16 (A1773078 and A1998183) to 0.50 (SSR 241) with an average of 0.303 for SSR and 0.243 (OPC-04) to 0.432 (OPU-16) with an average of 0.29 for RAPD markers. High PIC value for SSR than RAPD concludes that SSR markers are more efficient for genetic diversity studies. Further, clustering analysis based on UPGMA grouped these genotypes into 2 main cluster with various sub cluster. Cluster analysis done using SSR markers grouped 20 genotypes in cluster A and 4 genotypes in cluster B. Similarly, for RAPD markers, cluster analysis grouped 19 genotypes in cluster A and 5 genotypes in cluster B. Based on clustering analysis of genotypes using SSR, RAPD and comparative clustering of SSR and RAPD markers, Utkal pragyan and Angha, Utkal pragyan and NDT-4 and Utkal pragyan and NDT-4, respectively were found to be most diverse and hence based on cluster analysis the identified diverse tomato lines can be efficiently selected for carrying out various breeding and crop improvement programmes.
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