Vol. 7, Issue 6 (2019)
Identification of superior rice (Oryza sativa L.) Germplasm from Bastar, using SSR molecular markers characterization
Author(s): Vipin Kumar Pandey and Sonali Kar
Abstract: The experiment was conducted during Kharif 2016 in an RBD Design to assess the agro morphological characterization, genetic variability and genetic divergence among the ninety-four local landraces of rice and three popular standard checks namely MTU-1010, Danteshwari and CR-40. In the present investigation, out of 16 qualitative characters observed, basal leaf sheath colour, leaf blade colour, flag leaf angle, apiculus colour, awn length, awn colour, auricle colour, days to 50% flowering, plant height, panicle length, maturity(days) recorded the highest variation among genotypes. The analysis of variance for 20 quantitative characters showed that there were considerable inherent genetic differences for different characters. A wide range of genetic variability was observed for most of the quantitative traits. High magnitude of the coefficient of variation (more than 20%) in the entire genotypes was observed for grain yield per plant (27.4%), the number of effective tillers per plant (22.37%), test weight (21.14%), kernel length breadth ratio (20.59%). Total of 12 SSR markers (primers) was used for molecular characterization and discrimination of 28 genotypes of rice. After analysing the data generated from 12 microsatellite markers (SSR), a total of 22 alleles were detected in 28 rice genotypes. The number of alleles per locus generated by each marker ranged from 1 to 3 alleles with an average of 1.8 alleles per locus. Out of 12 SSR markers, 6 markers showed polymorphic reaction with polymorphism information content (PIC) values of 0.53 in RM125, 0.6 in RM161 and 0.75 in RM152, 0.84 in OCR13, 0.88 in RM413 and 0.89 in RM 408. Genetic similarity of genotypes of rice understudy the genetic similarity coefficient (Jaccard coefficient) ranged from 0.51-1.00 as revealed by UPGMA cluster analysis using the 12 SSR markers. A total of five distinct groups resulted in a cut-off similarity coefficient of 0.683 among the 28 rice genotypes.
Pages: 1589-1595 | 27230 Views 116 Downloads
download (10417KB)
How to cite this article:
Vipin Kumar Pandey, Sonali Kar. Identification of superior rice (Oryza sativa L.) Germplasm from Bastar, using SSR molecular markers characterization. Int J Chem Stud 2019;7(6):1589-1595.
