Analysis of genetic variability and correlation among traits in exotic germplasm of  pearl millet [Pennisetum glaucum (L.) R. Br.]

DOI: 10.18805/ijare.v50i1.8589    | Article Id: A-4531 | Page : 76-79
Citation :- Analysis of genetic variability and correlation among traits in exoticgermplasm of pearl millet [Pennisetum glaucum (L.) R. Br.] .Indian Journal of Agricultural Research.2016.(50):76-79

Om Vir Singh* and A.K. Singh

Address :

National Bureau of Plant Genetic Resources, Regional Station, CAZRI Campus, Jodhpur 342 003, India.

Submitted Date : 14-11-2015
Accepted Date : 15-01-2016


The 27 accessions of  pearl millet of African origin were studied during kharif 2013 and 2014 in a randomized complete block design in the hot arid climate of Rajasthan. The study was conducted to assess the magnitude of presence  of genetic variability and associations among characters  namely, grain yield per plant (gm.), number of tillers per plant, plant height (cm), panicle length (cm), panicle diameter (cm), number of leaves per plant, days to 50% flowering and test weight(gm.). The result showed that genetic variability was present among the accessions for all studied characters. The estimated PCV (%) and GCV (%) were high for all characters. The broad sense heritability (%) and genetic advance (% of  mean) estimates were also high for all studied characters. The number of tillers per plant,  panicle length (cm), panicle diameter (cm) and days to 50% flowering had  positive and significant genotypic, phenotypic and environmental correlation coefficients with grain yield per plant.  The presence of genetic variability, high heritability and genetic advance and association with grain yield of  number of tillers per plant,  panicle length (cm), panicle diameter (cm) and days to 50% flowering  amenable them for selection and enhancement of grain yield. 


Correlation coefficient Exotic germplasm Genetic variability Pearlmillet.


  1. Al-Jibouri, H.A, Miller, P.A. and Robinson H.F. (1958). Genetic and environmental variances and covariances in upland cotton cross of inter-specific origin. Agron. J. 50: 633-637.
  2. Andrews, D.J. and Anand Kumar, K. (1996) Use of the West African pearl millet landrace iniadi in cultivar development. Plant Genetic Resources Newsletter 105: 15–22.
  3. Balakrishnan, A., DAS, I.D.V. (1995). Character association in pearl millet. Madras Agric. J., 82: 59-60.
  4. Brunken J.N. (1977). A systematic study of Penizisetum sect. Pennisetum (Gramineae). Am J Bot 64: 161 - 176
  5. Burton, G.W. (1952) Quantitative inheritance in grasses. Proceedings of 6th International Grassland Congress, 1: 277-283.
  6. Chaudhry, M.H., Subhani, G.M., Shaheen, M.S., Saleem, U. (2003).Correlation and Path analysis in Pearl Millet (Pennisetum americanum L.). Pakistan Journal of Biological Sciences, 6: 597-600.
  7. Falconer, D.S. (1980). Introduction to Quantitative Genetics. 2nd. Ed. Longman, London.
  8. Govindaraj, M. Selvi M. and Rajarathinam, S. (2009), Correlation studies for grain yield components and nutritional quality traits in pearl millet (Pennisetum glaucum (L.) R. Br.) germplasm,” World Journal of Agricultural Sciences 5: 686– 689.
  9. Hanson, C.H., Robinson, H.F. and Comstock, R. E .1956 . Biometrical studies of yield in segregating populations of Korean lespedza. Agronomy Journal, 48 : 268-272.
  10. Harer, P.N., Karad, S.R. (1998). Correlation and path coefficient analysis in pearl millet. CAB. Abstract, PC. SPIRS, 3-30, 1998-2000, No 2000/60-61-74.
  11. Johnson, H.W., Robinson, H.F. Comstock, R.E. (1955). Estimation of genetic and environmental variability in soybeans. Agronomy J. 47: 314–318.
  12. Izge, A.U., Kadams, A.M., Gungula, D.T. (2006). Studies on character association and path analysis of certain quantitative characters among parental lines of pearl millet (Pennisetum glaucum) and their F1 hybrids in a diallel cross. Afr. J. Agric. Res. 1: 194-198.
  13. Kelley, J.D., Parthasarathy, R. P, Weltzein, R.E. and Purohit, M.L. (1996). Adoption of improved cultivars of pearl millet in an arid environment: Straw yield and quality considerations in Western Rajasthan. Environmental Agriculture 32:161–172.
  14. Kempanna, C. (1975). Variability pattern and its impact on the structure of yield in ragi. Technical Bulletin Series No. 8 University of Agricultural Sciences, Banglore.
  15. Kulkarni, V.M., Navale, P.A., Harinaragana, G. (2000). Variability and path analysis in white grain pearl millet (Pennisetum gluacum L.). Tropical Agric., 77: 130 -132.
  16. Ovendeba, B., Ejeta, G., Hanna, W.W., and Kumar, A.K. (1995). Diversity among African Pearl Millet landraces populations. Crop Science, 35:919-924.
  17. Singh, S.P. (1995). Selection for water stress tolerance in interracial populations of common bean. Crop Sci., 35: 118- 124.
  18. Steel, R. G. D., and Torrie, J. H. (1980). Principles and Procedures of Statistics. 2nd ed. New York: McGraw-Hill.
  19. Tolok, A.D.H., Shon, T.K., Yoshida. T. (1998). Effect of selection for yield components on grain yield of (Pennisetum typhoideum) CAB. Abstracts. Pc. SPIRS, 3-30, 1998– 2000.
  20. Vidyadhar B, Chand, P. and Devi, I. S. (2006). Genetic variability and character association for yield trails in pearl millet (Pennisetum sp.) germplasm. Journal of Research, ANGRAU., 34: 114-117.
  21. Wilson, J.P., Burton, G.W., Zongo, J.D. and Dicko, I.O. (1990). Diversity among pearl millet land races collected in Central Burkino Faso. Crop Science, 30: 40-43. 
  22. Yadav, H. P. (2015). Pearl Millet News. All India Coordinated Research Project on Pearl Millet PP 1.
  23. Yadav, O.P. and Weltzein, R.E. (2000). Differential response of pearl millet landrace based population and high yielding varieties in contrasting environments. Annals of Arid Zone 39 :39–45.

Global Footprints