CORRELATION AND PATH COEFFICIENT ANALYSIS IN OKRA (ABELMOSCHUS ESCULENTUS (L.) MOENCH)

O.D. KELEMOGE¹*, P. ASHOK², K. SASIKALA³, G. KRANTHI REKHA^4
1Department of Horticulture, Dr. Y.S.R. Horticultural University, Venkataramannagudem, West Godavari, 534101, Andhra Pradesh, India
²Department of Horticulture, Dr. Y.S.R. Horticultural University, Venkataramannagudem, West Godavari, 534101, Andhra Pradesh, India
³Department of Agronomy, Dr. Y.S.R. Horticultural University, Venkataramannagudem, West Godavari, 534101, Andhra Pradesh, India
⁴Department of Horticulture, Dr. Y.S.R. Horticultural University, Venkataramannagudem, West Godavari, 534101, Andhra Pradesh, India
* Corresponding Author : dawnauld@gmail.com

Received : 30-06-2019     Accepted : 26-07-2019     Published : 30-07-2019
Volume : 11     Issue : 14       Pages : 8782 - 8784
Int J Agr Sci 11.14 (2019):8782-8784

Keywords : Okra, Correlation, Path coefficient analysis, Direct and indirect effects
Conflict of Interest : None declared
Acknowledgements/Funding : Authors are thankful to Dr. Y.S.R. Horticultural University, Venkataramannagudem, West Godavari, 534101, Andhra Pradesh. Dr. Y.S.R. Horticultural University, Venkataramannagudem, West Godavari, 534101, Andhra Pradesh. Authors are also thankful to Indian Council of Agricultural Research, New Delhi, India for providing financial support
Author Contribution : All authors equally contributed

An experiment was conducted at Horticulture Research Station, Dr Y. S. R. Horticultural University (Dr YSRHU), Venkataramannagudem, Andhra Pradesh, India during kharif season, 2018, to investigate the interrelationship of yield related characters and extent of their contribution to fruit yield in okra. Correlation analysis revealed that internodal length of main stem (rg=0.859, rp=0.315), number of nodes per plant (rg=0.352, rp=0.226) and average fruit weight (rg=0.992, rp=0.390) registered a positive and significant correlation at both phenotypic and genotypic levels with fruit yield per plant, signifying the importance of these traits in selection for yield. Path coefficient analysis revealed that number of primary branches per plant (0.795), number of nodes per plant (0.594), fruit length (0.765), fruit girth (1.106), leaf chlorophyll content (1.533) and mucilage content (0.352) exerted a high positive direct effect on fruit yield per plant.

1. Schippers R.R. (2000) African indigenous vegetables- An overview of the cultivated species, pp. 103-118.
2. Hammon S. and Van Sloten D.H. (1989) The use of plant genetic resources, pp. 173-174.
3. Savello P., Martin F.W., Mill J.M. (1980) Agricultural Food Chemistry, 28, 1163-1166.
4. Adeniji O.T. and Peter J.M. (2005) Proceedings of 30th Conference, Genetics Society of Nigeria, pp. 250- 258.
5. Falconer D.S. (1964). Longman Group Limited, England, 48-263.
6. Fisher R.A. and Yates F. (1963) Statistical tables for biological, agricultural and medical research, Oliver and Boyd, London, 46-63.
7. Wright S. (1921) Journal of Agricultural Research, 20, 557-85.
8. Dewey J.R. and Lu K.H. (1959) Journal of Agronomy, 51, 515-18
9. Badiger M., Pitchaimuthu M. and Parvati P. (2017) Global Journal of Bio-science and Biotechnology, 6(2), 314-19.
10. Kerure P., Pitchaimuthu M. and Hosamani A. (2017) Electronic Journal of Plant Breeding, 8(1), 134-41.
11. Patel A.I., Vrunda R., Vashi J.M. and Chaudhari B.N. (2019) Acta Scientific Agriculture, 65-70.
12. Yadav R.K., Syamal M.M., Kumar M., Pandiyaraj P., Nagaraju K. and Kaushal A. (2017) International Journal of Agriculture Sciences, 9 (13), 4063-67.
13. Pithiya P.H., Kulkarni G.U., Jalu R.K. and Thumar D.P. (2017) Journal of Pharmacognosy and Phytochemistry, 6(6), 1487-1493.
14. Kumar P., Singh K.V., Singh B., Kumar S. and Singh O. (2012) Progressive Agriculture, 12(2), 354-59.
15. Prasath G., Ravinder R.K. and Pidigam Saidaiah (2017) International Journal of Current Microbiology and Applied Science, 6(3), 462-72.
16. Yonas M., Garedew W. and Debela A. (2014) Journal of Biological Sciences, 14(5), 336-42.