Molecular Marker Based Genetic Diversity Analysis in Rice (Oryza Sativa L.)
| dc.contributor.advisor | Ravindra Kumar | |
| dc.contributor.author | Neha Singh | |
| dc.date.accessioned | 2025-07-15T02:31:39Z | |
| dc.date.issued | 2012 | |
| dc.description.abstract | The genetic variation and relationships among 32 rice genotypes were evaluated using 19 simple sequence repeat (SSR) markers. Among 19 SSRs, 17 showed polymorphism. 1 00% polymorphism was observed with these 17 SSR markers. The number of alleles ranged from 2 to 10 with the average value of 4.37 per locus. Three markers generated a total of 5 rare alleles. Polymorphism information content (PIC) values of the markers ranged from 0.79 (RM 167) to 0.99 (RM 47) with an average of 0.84 per marker. Cluster analysis based on SSR banding pattern grouped the rice genotypes into 2 major clusters with additional sub-clusters. SSR analysis revealed that genotype AUS287 was distantly related to Kalonchi with Jaccard's similarity coefficient of 0.64. SSR analysis resulted in a more definitive separation of clusters of genotypes, indicating a higher level of efficiency of SSR markers for the accurate determination of relationship between genotypes | |
| dc.identifier.uri | http://172.105.56.86:4000/handle/123456789/1259 | |
| dc.language.iso | en | |
| dc.pages | 133p | |
| dc.publisher | Sardar Vallabh Bhai Patel University of Agriculture & Technology, Meerut | |
| dc.relation.ispartofseries | Id No. 1504 | |
| dc.subject | Agriculture Biotechnology | |
| dc.theme | Molecular Marker Based Genetic Diversity Analysis in Rice (Oryza Sativa L.) | |
| dc.these.type | M.Sc. | |
| dc.title | Molecular Marker Based Genetic Diversity Analysis in Rice (Oryza Sativa L.) | |
| dc.type | Thesis |