TRAIT LINKED MICROSATELLITE MARKER BASED DIVERSITY ANALYSIS FOR YIELD ATTRIBUTING TRAITS IN SOME BENGAL LANDRACES OF RICE (ORYZA SATIVA L.)

Forty one diverse rice genotypes collected from West Bengal have been studied to assess genetic diversity using five SSR markers linked with QTL of yield attributing traits. Genotypes were grown at the Gayeshpur Regional Research Station (New Alluvial Zone), Bidhan Chandra Krishi Viswavidyalaya, West Bengal, India. Results shown that Polymorphic pattern were generated by all five SSR primers which altogether produced 14 reproducible alleles. Most of the markers generated two reproducible alleles whereas RM-3 and RM-16 generated three and four alleles respectively. The percentage of highest frequency alleles among the markers ranging from 70.73 % (RM-16) to 95.12 % (RM-5) where as PIC values varied from 0.1488 (RM-3) to 0.314 (RM-130). RM-16 generated maximum number of alleles although PIC value was maximum in case of RM-130. These two markers could be used for diversity analysis related to yield attributes in rice. The dendogram revealed 7 clusters at a cut-off similarity coefficient level of 0.64. At the similarity coefficient level of 0.35 and 0.62 Kumargore and Oradhan respectively were distinct where as rest of the genotypes grouped into 5 major clusters. On the basis of yield performance as well as presence of rare alleles of the used markers, Tulaipanji, Kumargore, Butadhan, Oradhan can be considered further as parental material for development of high yielding varieties of rice.