GENETIC VARIABILITY, CORRELATION AND PATH ANALYSIS IN HYBRID RICE

MONALISHA PATRA1*, S.R. DAS2
1Orissa University of Agriculture and Technology, Bhubaneswar, 751003, Odisha, India
2Orissa University of Agriculture and Technology, Bhubaneswar, 751003, Odisha, India
* Corresponding Author : mpmonalisha12@gmail.com

Received : 18-07-2018     Accepted : 27-07-2018     Published : 30-07-2018
Volume : 10     Issue : 14       Pages : 6691 - 6693
Int J Agr Sci 10.14 (2018):6691-6693

Keywords : Genetic Variability, Correlation, Path analysis, Rice hybrids, Genetic advance, Heritability
Academic Editor : Pinaki Samal, B. Behera, Dr K Bayyapu Reddy
Conflict of Interest : None declared
Acknowledgements/Funding : Author thankful to College of Agriculture, Orissa University of Agriculture and Technology, Bhubaneswar, 751003, Odisha, India
Author Contribution : All author equally contributed

Cite - MLA : PATRA, MONALISHA and DAS, S.R. "GENETIC VARIABILITY, CORRELATION AND PATH ANALYSIS IN HYBRID RICE." International Journal of Agriculture Sciences 10.14 (2018):6691-6693.

Cite - APA : PATRA, MONALISHA, DAS, S.R. (2018). GENETIC VARIABILITY, CORRELATION AND PATH ANALYSIS IN HYBRID RICE. International Journal of Agriculture Sciences, 10 (14), 6691-6693.

Cite - Chicago : PATRA, MONALISHA and S.R., DAS. "GENETIC VARIABILITY, CORRELATION AND PATH ANALYSIS IN HYBRID RICE." International Journal of Agriculture Sciences 10, no. 14 (2018):6691-6693.

Copyright : © 2018, MONALISHA PATRA and S.R. DAS, Published by Bioinfo Publications. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.

Abstract

Genetic variability, correlation & path analysis studies were carried out for 10 characters on 17 elite rice hybrids along with 7 different checks. The magnitude of genetic variance was high for majority of traits except for panicle length, panicle number, 100-grain weight, harvest index and grain yield per plant. The higher magnitude of genetic variance for plant height, grain number, fertility % and plot yield, which have bearing on yield may be sorted out as important selection criteria for realization of higher productivity in hybrid rice. Plot yield exhibited positive association with plant height, panicle length, panicle number, grain number, harvest index & grain yield per plant. Grain yield per plant was positively correlated with plant height, panicle length, panicle number, grain number and harvest index. Out of all the traits, plot yield and grain yield per plant have positive association with other traits like plant height, panicle length, panicle number, fertile grain number and harvest index. There is positive association between panicle number and grain yield. But the association of panicle number was observed to be low, negative and insignificant with majority of characters under study. The association between grain yield per plant & grain number was positive but the grain number exhibited negative association with 100-grain weight. Plant height exhibited maximum positive direct effect on grain yield per plant followed by panicle number, harvest index, fertility %, days to 50% flowering, fertile grain number & panicle length. Thus, indicating the importance of such traits as criteria for selection in that order for realization of higher productivity. Harvest index exerted greatest indirect effect on yield via other traits following 100-grain weight, panicle length, plant height and fertile grain number.

References

1. Virmani S.S. and Kumar I. (2004) Intl. Rice Res. Notes., 29(1), 10-19.
2. Kishore N.S., Srinivas T., Nagbhushanam U., Pallavi M. and Sameera Sk. (2015) SAARC J. Agri.,13 (1),99-108.
3. Dhanwani R.K., Sarawgi A.K., Solanki A. and Tiwari J.K. (2013) Supplement on Genetics &Plant Breeding, 8(4),1403-1407.
4. Bornare S.S., Mittra S.K. and Mehta A.K. (2014) Bangladesh J. Bot.,43(1),45-52.
5. Rajendra K.P., Radhakrishna K.V.,Kumar S.S., Senguttuvel P. and Subha Rao L.V.(2017) Int. J. Pure App.Biosci.,5(4).1513-1518.
6. Chaudhury M. and Motiramani N.K. (2003) Crop Improv., 30(1), 84-90.
7. Krishnappa M.R. (2003) The Maysore J. Agri. Sci.,37(1),95.
8. Nair Ambili and Rosamma C.A. (2007) Oryza, 44(1), 71-73.
9. Shrirame M.D. and Muley D.M. (2003) Journal of Soils and Crops, 13(1), 165-167.
10. Rajamani S., Durga Rani Ch. V. and Subramanyam D. (2004) The Andhra Agric. J. 51(1-2), 36-38.
11. Chitra S., Ananda Kumar C.R. and V. Vivekananda P. (2005) Andhra Agri. Journal, 52 (3&4), 388-391.
12. Satish Y., Seetharamaiah K.V., Srrerama N. and Naidu T.C.M. (2003) The Andhra Agric. J. 50(3-4), 232-234.
13. Nayak A.R., Choudhury D. and Reddy J.N. (2004) Indian J. Agric. Res., 38, 250-255.
14. Shanthala J.J., Latha and Hittalmani S. (2004) Environment and Ecology, 22(4), 734-73.
15. Satyanarayan P.V., Srinivas T., Reddy P.R., Madhavilatha L., Suneetha Y. (2005) Research on crops, 6(1), 80-84.
16. Babu S., Yogameenakshi, Sheeba A. Ambumalanmalli J. and Rangasamy P. (2006) Oryza, 43(3), 239-240.
17. Swain B. and Reddy J.N. (2006) Oryza 43(1),58-61.
18. Zahid M.A., Akhtar M., Sahar M., Manzoor Zaheen and Awan Tahir (2006) Asian Journal of Plant Sciences, 5(4), 643-64.
19. Panwar L.L. and Ali Mashiat (2007) Oryza 44, 115-120.