CORRELATION AND GENETIC VARIABILITY STUDIES IN GROUNDNUT (Arachis hypogaea L.) GENOTYPES

P. GONYA NAYAK¹*, M. VENKATAIAH², P. REVATHI³, B. SRINIVAS^4
1Division of Groundnut Research Scheme, Regional Agricultural Research Station, Professor Jayashankar Telangana State Agricultural University, Polasa, 505 529, Jagtial, Telangana.
²Division of Groundnut Research Scheme, Regional Agricultural Research Station, Professor Jayashankar Telangana State Agricultural University, Polasa, 505 529, Jagtial, Telangana.
³Division of Groundnut Research Scheme, Regional Agricultural Research Station, Professor Jayashankar Telangana State Agricultural University, Polasa, 505 529, Jagtial, Telangana.
⁴Division of Groundnut Research Scheme, Regional Agricultural Research Station, Professor Jayashankar Telangana State Agricultural University, Polasa, 505 529, Jagtial, Telangana.
* Corresponding Author : pgonyanayak@gmail.com

Received : 16-02-2018     Accepted : 22-03-2018     Published : 30-03-2018
Volume : 10     Issue : 2       Pages : 354 - 356
Genetics 10.2 (2018):354-356
DOI : http://dx.doi.org/10.9735/0975-2862.10.2.354-356

Keywords : Correlation, genetic variability, genetic advance, Groundnut
Conflict of Interest : None declared
Acknowledgements/Funding : Author thankful to Professor Jayashankar Telangana State Agriculture University, Rajendranagar Mandal, Hyderabad, Telangana 500030
Author Contribution : All author equally contributed

The present experiment was conducted with 15 groundnut genotypes to estimate the genetic variability and correlation for yield and its components. Analysis of variance clearly specified the existence of ample amount of variability in present experimental material for improvement. Variability studies indicated the higher scope of selection in desirable direction for number of pods per plant, shelling percentage, hundred kernel weight, hundred pod weight, dry pod yield per hectare and kernel yield as they recorded higher GCV and genetic advance values. These traits were found to be governed by additive genes as evident by recording higher values for both heritability and genetic advance. Correlation studies revealed the simultaneous improvement of hundred pod weight, sound mature kernels and hundred kernel weights for improvement of the yield.

1. Mannand Senegal FAO. (2001) FAO Bulletin of Statistics, 2(2): 63.
2. Panse V.G. and Sukhatme P.V. (1985) Statistical methods Agricultural Workers. ICAR, New Delhi. pp. 235-246.
3. Falconer D.S. (1981) Biometrical techniques in plant breeding. Kalyani Publishers, New Delhi.
4. Singh R.K. and Choudhary B.D. (1977) Biometrical Methods in Quantitative Genetic Analysis. Kalyani Publishers, New Delhi.
5. Stan field W.D. (1969) Theory and Problems of Genetic. Mc.Graw Hill, New York
6. Sewall Wright (1921) Biometrical techniques in plant breeding. Kalyani Publishers, New Delhi.
7. John K., Vasanthi R.P., Venkateswarlu O. and Haranath Naidu P. (2005) Legume Res., 28 (3): 189 - 193.
8. Zaman M. A., Tuhina-Khatun M., Ullah M. Z., Moniruzzamn M. and Alam K. H. (2011) A Scientific Journal of Krishi Foundation The Agriculturists, 9(1&2), 29-36.
9. Jain P.K. and Ramgir S.R. (2000) Annals of Agricultural Research, 15: 45-49.