Legume Research

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Research Article

Legume Research, volume 40 issue 3 (june 2017) : 439-443

Genetic divergence, correlation and path coefficient analysis for the yield components of pigeonpea genotypes

SNCVL Pushpavalli*, C. Sudhakar, C. Sudha Rani, R. Raja Rajeswari, C. Jyothi Rani
1<p>Agricultural Research Station, Prof. Jayashankar Telangana State Agricultural University,&nbsp;Tandur-501 141, India.</p>
Cite article:- Pushpavalli* SNCVL, Sudhakar C., Rani Sudha C., Rajeswari Raja R., Rani Jyothi C. (2016). Genetic divergence, correlation and path coefficient analysis forthe yield components of pigeonpea genotypes . Legume Research. 40(3): 439-443. doi: 10.18805/lr.v0iOF.9596.

ABSTRACT

The present investigation was carried out using thirty two pigeonpea genotypes during kharif 2013-14 to obtain the knowledge of correlation, path coefficient analysis for the yield components and genetic divergence. The range of GCV was observed from 9.81 to 40.88% for the traits under study which provides information regarding the extent of variability present among the genotypes. Seed yield was significantly and positively correlated with number of secondary branches/plant, pods/plant and 100-seed weight. Path coefficient analysis indicated that number of secondary branches exhibited maximum direct effect followed by number of pods/plant and 100 seed weight. The genotypes were grouped into eight different clusters based on Mahalonobis D2 statistics. Clusters II and III exhibited maximum inter cluster distance of 8.80. Days to 50% flowering contributed to maximum genetic divergence followed by seed yield. Genotypes in cluster III recorded highest mean value for days to maturity, number of secondary branches and seed yield.

REFERENCES


  1. Al-Jibouri, H.A., Miller, P.A. and Robinson, H.F. (1958). Genotypic and environmental variance and covariance in an upland cotton cross of interspecific origin. Agronomy Journal, 50: 633-637.

  2. Burton, G.W. (1952). Quantitative inheritance in grasses. Proceeding of 6th International Grass Congress 1: 277-288.

  3. Chandirakala, R. and Subbaraman, N. (2010). Character association and path analysis for yield attributes in full sib progenies in pigeonpea (Cajanus cajan (L.) Mill Sp.). Electronic Journal of Plant Breeding 1: 824–7.

  4. Dahiya, S. K. and Singh, S. (1994). Path analysis in pigeonpea [Cajanus cajan (L.) Millsp]. Crop Research 8 : 337–9.

  5. Dewey, D.R. and Lu, K.H. (1959). A correlation and path analysis of components of crested wheatgrass seed production. Agronomy Journal, 51: 515-518.

  6. Ganapathy, K.N., Gnanesh, B.N., Byre, G.M., Venkatesha, S.C., Gomashe, S.S. and Channamallikarjuna, V. (2011). AFLP analysis in pigeonpea [Cajanus cajan(L.) Millsp.] revealed close relationship of cultivated genotypes with some of its wild relatives. Genet Resour Crop Evol. 58:837–847.

  7. Jackson, J. E. (1991). A User’s Guide to Principal Component. John Wiley and sons, New York. Kotecha, A and Zimmerman, L. H. (1978). Inheritance of seed weight, pappus, and striped hull in safflower species. Crop Sci., 18: 999-1003.

  8. Kannaiyan, J. Y.L. Nene. (1981). Influence of wilt at different growth stages on yield loss in pigeonpea. Trop Pest Manage 27: 141.

  9. Kannaiyan, J., Nene, Y.L., Reddy, M.V., Ryan, J.G. and T.N. Raju. (1984). Prevalence of pigeonpea diseases and associated crop losses in Asia, Africa and the Americas. Tropical Pest Management 30: 62-71.

  10. Kingshlin, M. and N. Subbaraman. (1999). Correlation and path coefficient analysis among quantitative characters in pigeonpea. Annals Agriculture Journal 20: 151–4.

  11. Niranjana Kumara, B., Santoshagowda, G.B., Nishanth, G.K. and Dharmaraj, P.S. (2013). Genetic diversity, variability and correlation studies in advanced genotypes of Pigeonpea. Acta Biologica Indica 2:406-411.

  12. Patel, J. B. and Acharya, S. (2011). Genetic divergence and character association in Indo-African derivatives of pigeonpea [Cajanus cajan (L.) Millsp.]. Journal of Food Legumes 24: 198–201.

  13. Padi, F. K. (2003). Correlation and Path Coefficient Analyses of Yield and Yield Components in Pigeonpea. Pak. J. Biol. Sci., 19: 1689-1694.

  14. Rao, C. R. (1952). Advanced statistical methods in biometrical research. John wiley and Sons, Inc. New York.

  15. Reddy, M.V. and Nene, Y.L. (1981). Estimation of yield loss in pigeonpea due to sterility mosaic Proc. International workshop on Pigeonpeas 215–19December1980ICRISAT Center; Patancheru, AP, India.

     
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