Evaluation of EMS induced Mutant Population using character Associations and Principle Component Analysis in Rice (Oryza sativa L)

Author: S.R. Harish Chandar, Pusarla Susmitha, Pushpalatha Ganesh, Aaruru Mounika and Sakthi Anand M.K.

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Abstract

A research was carried out to evaluate the genetic diversity and establish relationship among yield and its components in rice cultivar BPT 5204. The field experiment was carried out with 30 M1 derived mutant lines treated at 0.75% EMS along with a control. The results of M2 population showed a strong correlation among days to 50% flowering, number of productive tillers and days to maturity upon grain yield. Genotypic path coefficient analysis revealed that productive tillers, sterile grains per panicle and flag leaf length had positive and direct effect on grain yield per hill. Phenotypic path coefficient analysis indicated that number of tillers per hill, sterile grains per panicle, and days to maturity, panicle length and flag leaf length had positive and direct effect on grain yield per hill. Out of 11, four principal components PC1, PC2, PC3 and PC4 exhibited more than 1.00 Eigen value, and 68.6% cumulative variability was observed among the traits studied. Hierarchical clustering analysis categorized 7 major clusters among the mutant lines of which cluster 1 includes 20 lines with superior grain yield. Furthermore, this study will assist the breeder for developing reliable selection indices in rice mutant population for yield enhancement and selection of better yielding varieties.

Keywords

Correlation, mutant population, path coefficient analysis, principal component analysis, Hierarchical clustering analysis

Conclusion

The present study revealed that there were direct positive associations between yield per plant and days to 50% flowering, plant height, panicle length, number of productive tillers, spikelets per panicle, selection for which would be effective to enhance the yield potential. The correlations of grain yield per plant were negative and significant with characters viz., days to 50% flowering and days to maturity. For all traits, the phenotypic correlation is higher than the genetic correlation, which reveals environment has greater effect on the traits which is taken for story. In genotypic path analysis out of ten, three characters had positive and direct effect on grain yield per plant while rest of eight had negative and direct effect on grain yield per plant Principal component analysis explains 4 PCs whose has the cumulative effect of 68.6%. It explains the presence of vital genetic diversity of the mutated lines under study. Hierarchical clustering showed the presence of 7 clusters in the mutated lines, on which first cluster has 7 out of 31 mutated lines and remaining line were distributed among rest of the clusters with cluster 2 having least of only 2 mutated lines.

References

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How to cite this article

S.R. Harish Chandar, Pusarla Susmitha, Pushpalatha Ganesh, Aaruru Mounika and Sakthi Anand M.K. (2023). Evaluation of EMS induced Mutant Population using character Associations and Principle Component Analysis in Rice (Oryza sativa L). Biological Forum – An International Journal, 15(1): 616-622.