Agricultural Science Digest

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Agricultural Science Digest, volume 24 issue 2 (june 2004) : 127 - 129

PERIODICAL CORRELATIONS OF VARIOUS MORPHOPHYSIOLOGICALAND YIELD CONTRIBUTING CHARACTERS WITH GRAIN YIELD (g)/PLANT IN PEARL MILLET {PENNISETUM GLAUCUM (L.) R. BR.}

K.M. Pol, P.C. Mahajan, V.R. Awari
1Departmen' of Botany, Mahatma Phule Krishi Vidyapeeth, Rahuri· 413 722, India
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Cite article:- Pol K.M., Mahajan P.C., Awari V.R. (2024). PERIODICAL CORRELATIONS OF VARIOUS MORPHOPHYSIOLOGICALAND YIELD CONTRIBUTING CHARACTERS WITH GRAIN YIELD (g)/PLANT IN PEARL MILLET {PENNISETUM GLAUCUM (L.) R. BR.}. Agricultural Science Digest. 24(2): 127 - 129. doi: .
Studies on the relationship between different growth and development characters and their association with yield and yield contributing characters were conducted with twelve glmotypes during kharif 1997 season. The physiological basis for difference in gram yield amongst the high yielding and low yielding genotypes was mainly due to the variation in morphological and physiological characters along with the yield contributing characters. The morpho-physiological yield contributing characters which showed significant positive correlation with the grain yield (g) per plant were plant height, number of leaves per plant, number of total productive tillers per plant, root dry weight per plant, root shoot ratio, biomass production (g) per plant, leaf, stem, earhead and total dry matter per plant and the leaf area index. These are the most important parameters for breeding an ‘ideotype’ in pearl millet
    1. Birar, K.O. (1985). M.Sc. (Agric.) Thesis, M.PKV., Rahuri.
    2. Briggs, G.H. et a/. (1920). Ann. App. BioI., 7(2&3): 202-203.
    3. Oeshmukh, K,V. (1981). M.Sc. Thesis, M.P.K.V., Rahuri (India).
    4. Egharevha, P.N. (1977). Cereal Res. Commun., 5: 135-247.
    5. Fisher, RA aad Yates, E (1963). Statistical Table for Biological, Agricultural and Medical Research, 6th Edn. Olier
    6. and Boyd, London. pp. 63.
    7. Gregory, EG. (1926). Ann. Bot., 40: 1-26.
    8. Gupta, V.P. et a/. (1976). Crop Improve., 3: 80-85.
    9. Hepziba, S.J. eta/. (1993). Ann. Agric. Res., 14: 282-285.
    10. Kamala, V. eta/. (1986). J. Maha. Agric. Univ., 14: 124-128.
    11. Kapoor, R.L. et a/. (1982). Indian J. Agric. Sci., 52: 630-633.
    12. Karthigeyan, S. eta/. (1995). Madras Agric. J., 82: 652-654.
    13. Manga, V.K., et a/. (1985). Arid Zone, 24: 25-29.
    14. Mukharji, P. eta/. (1982). Madras Agric. J., 69: 45-50.
    15. Panse, v.G. and Sukhalme, P.v. (1985). Statistical Methods for Agricultural Workers, ICAR. New Delhi. pp 203.
    16. Phul, P.S. et a/. (1974). Indian J. Genet., 34: 346-351.
    17. Sabale, OK (1975). M. Sc. (Agric.) Thesis, M.PKV., Rahuri.
    18. Sagar, P. (1992). Crop Improve., 19: 38-41.
    19. Snedecor, G.w. and Cochran, W.G. (1967). Statistical MethodsCfh edn. Oxford and IBH Publ. Co. Calcutta. pp. 172

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