CORRELATION AND PATH COEFFICIENT ANALYSIS FOR YIELD AND YIELD COMPONENTS IN BLACKGRAM (VIGNA MUNGO (L.) HEPPER)

C.S. VIKRAMADITYA¹*, G.M. LAL^2
1Department of Genetics and Plant Breeding, Sam Higginbottom University of Agriculture, Technology and Sciences, Prayagraj, 211007, Uttar Pradesh, India
²Department of Genetics and Plant Breeding, Sam Higginbottom University of Agriculture, Technology and Sciences, Prayagraj, 211007, Uttar Pradesh, India
* Corresponding Author : vegita.aditya15@gmail.com

Received : 01-10-2020     Accepted : 20-10-2020     Published : 30-10-2020
Volume : 12     Issue : 20       Pages : 10295 - 10297
Int J Agr Sci 12.20 (2020):10295-10297

Keywords : Blackgram, GCV, PCV, Correlation and Path analysis
Academic Editor : Dr S. G. Savalia
Conflict of Interest : None declared
Acknowledgements/Funding : Author are thankful to Department of Genetics and Plant Breeding, Sam Higginbottom University of Agriculture, Technology and Sciences, Prayagraj, 211007, Uttar Pradesh, India
Author Contribution : All authors equally contributed

The experimental material was consisting of 24 Black gram genotypes, check as PU-30, during kharif 2019. The experiment was laid out in Randomized Complete Block Design with 3 replications at Field Experiment Centre of Department of Genetics and Plant Breeding, Sam Higginbottom University of Agriculture, Technology and Sciences. The study were logged on 5 randomly taken plants to each treatment and replication for 13 quantitative characters viz. days to 50% flowering, days to 50% pod setting, days to maturity, plant height, number of primary branches per plant, clusters per plant, pods per plant, pod length, seeds per pod, seed index, biological yield, harvest index and seed yield to estimate the variability, heritability and genetic advance as % mean, character association and path analysis. High heritability coupled with high genetic advance as percent of mean was recorded for plant height, biological yield and harvest index represents additive gene effects and effective selection. The correlation coefficient analysis revealed that seed yield per plant exhibited positive and significant association with harvest index at both genotypic and phenotypic levels. The path analysis revealed that characters days to 50% flowering, days to maturity, plant height, clusters per plant, seeds per pod at both genotypic and phenotypic levels

1. Arumuganathan K. and Earle E.D. (1991) Plant Molecular Biology Reporter, 9, 208-218.
2. Fisher R. A. (1936) France Royal Society of Edinburgh, 52, 399- 433.
3. Burton G. W. (1952) Quantitative Inheritance of Grasses. Proc. 6th Int. Grassland congress, 1, 277-283.
4. Burton G. W. De Vane E. M. (1953) Journal of Agronomy, 45 (3), 474-481.
5. Johnson H. W., Robinson H. F. and Comstock R. E. (1955) Agronomy Journal, 47, 314-318.
6. Al-Jibouri H. A., Muller P. A., and Robinson H. F. (1958) Journal of Agronomy, 50, 633-636
7. Dewey D. R. and Lu K. H. (1959) Agronomy Journal, 51, 513-518.
8. Chauhan M. P., Mishra A. C. and Singh A. K., (2007) Legume Research, 30 (3), 205-208.
9. Isha Parveen S., Reddi Sekhar M., Mohan Reddy D., Sudhakar P. (2011) International Journal of Applied Biology and Pharmaceutical Technology, 2(3),619-625.
10. Govindaraj P., Subramanian M. (2001) Madras Agricultural Journal, 88(4-6),240-242.
11. Konda C. R., Salimath P. M. and Mishra M. N. (2008) Legume Research, 31 (3), 202-205.
12. Santha S. and Paramasivam K. (1999) Madras Agricultural Journal, 86 (7-9), 397-400
13. Gopi K. A., Reddisekhar M., Raja R. K. and Subramanyam R. K. (2002b) Madras Agricultural Journal, 89 (4-6), 315- 318.
14. Umadevi M. and Ganesan N. M. (2005) Madras Agricultural Journal, 92 (10-12), 731-734.
15. Veeranjaneyulu A., Eswari K. B., Srinivasa Rao V. and Ramana J.V. (2007) The Andhra Agricultural Journal, 54 (3&4), 134-138.
16. Umadevi M. and Meenakshi G. N. (2006) Mysore Journal of Agricultural Sciences, 38 (4), 567-571.