Assessment of Genetic Diversity in Rice (Oryza sativa L.) Genotypes for Yield and Attributing Traits

Author: Mukul*, Sandhya, P.K. Singh and S.P. Singh

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Abstract

A set of 70 rice genotypes were assessed the genetic diversity using Mahalanobis D2 statistics. The rice genotypes were grouped into eight clusters. Among these eight clusters, cluster V had maximum number of genotypes 17 followed by cluster VI with 15 genotypes, cluster VII with 12 genotypes, cluster III with 9 genotype, cluster VIII with 6 genotypes, cluster IV with 3 and the remaining clusters (I, II,) were in each cluster consisting of four genotypes. There were no distance (0) present between intra-clusters. The maximum inter-cluster distance was found between cluster IV and VIII followed by cluster II and IV. Cluster VIII showed the highest cluster mean for yield per plant (g), cluster I showed highest cluster mean for 1000-grain weight and cluster VII showed highest cluster mean for spikelet’s per panicle. Hybridization between genotypes cluster IV and VIII followed by cluster II and IV could yield better segregants.

Keywords

Cluster, Genetic diversity, Rice, Hybridization.

Conclusion

The allocation of genotypes from distinct environment into separate categories was random, demonstrating that topographical and genetic diversity were interdependent. Thus, for separating superior isolates in segregating generations, crossing genotypes pertaining to clusters dispersed by huge inter cluster distances and diverging dramatically for variables contributing significantly to total genetic differentiation would be more profitable. In the present investigation genotypes viz., IC 256514, IC 256515, IC 256525, IC 256807, IC 273558, IC 277292, IC 256528, IC 260937, IC 260961, IC 267428) and IV (IC 256518, IC 260917, IC 277266 were superior not only for grain yield per plant but also related traits. Hence, crossing of such genotypes will result in greater variation in the segregating population, which will be helpful to improve rice crop.

References

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How to cite this article

Mukul, Sandhya, P.K. Singh and S.P. Singh (2022). Assessment of Genetic Diversity in Rice (Oryza sativa L.) Genotypes for Yield and Attributing Traits. Biological Forum - An International Journal, 14(1): 397-400.