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Journal of Biological Sciences

Year: 2001 | Volume: 1 | Issue: 3 | Page No.: 117-119
DOI: 10.3923/jbs.2001.117.119

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Research Article

Genetic Variability and Correlation Studies in Mungbean

Munawar Khan
Agricultural Research Station, Serai Naurang, Bannu, NWFP, Pakistan

Khalid Nawab
Agricultural Research Station, Serai Naurang, Bannu, NWFP, Pakistan

Aminullah Khan
Agricultural Research Station, Serai Naurang, Bannu, NWFP, Pakistan

Muhammad Safdar Baloch
Agricultural Research Station, Serai Naurang, Bannu, NWFP, Pakistan

Investigations were carried out on fifteen divergent genotypes. Results revealed that the cultivar M 22-24 was superior in various yield supporting parameters and produced maximum grain yield per plant. Correlation coefficient between grain yield and its contributing variables showed that grain yield was positively and significantly correlated with number of branches, pods per plant and total biomass per plant. A non-significant positive association of grain yield was observed with days to 50% flowering, days to maturity and pod length. Number of branches, number of pods and dry total biomass were found best among the yield components in mungbean.
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How to cite this article

Munawar Khan, Khalid Nawab, Aminullah Khan and Muhammad Safdar Baloch, 2001. Genetic Variability and Correlation Studies in Mungbean. Journal of Biological Sciences, 1: 117-119.

DOI: 10.3923/jbs.2001.117.119

URL: https://scialert.net/abstract/?doi=jbs.2001.117.119

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References


  1. Duncan, D.B., 1955. Multiple range and multiple F tests. Biometrics, 11: 1-42.
    CrossRefDirect Link

  2. Steel, R.G.D. and J.H. Torrie, 1980. Principles and Procedures of Statistics: A Biometrical Approch. 2nd Edn., McGraw-Hill, New York City, ISBN: 9780070609266, Pages: 633.
    Direct Link

  3. Aslam, M., N.A. Khan, M.S. Mirza and A.R. Khan, 1992. Correlation and path coefficient analysis for yield components in soybean. Pak. J. Agric. Res., 13: 20-25.

  4. Miah, N.N. and S.K. Bhadra, 1989. Genetic variability in the F2 generation of mungbean. Bangladesh J. Agric. Res., 14: 72-75.

  5. Naidu, N.V., A. Satyanarayana and A.R.L. Gunter, 1991. Studies on estimation of genetic parameters under d if fe rent environments in green gram. Indian J. Pulses Res., 4: 19-22.

  6. Reddy, T.D., R.K. Mishra and R.K. Yadav, 1991. Genetic variability and correlation co-efficient related to yield and other quantitative characters and use of path co-efficient in mungbean. Indian J. Pulses Res., 4: 100-104.

  7. Saleem, S.A., 1982. Variation and correlations among agronomic characters in a collection of beans (Vicia faba L.). J. Agric. Sci., 99: 541-545.
    CrossRefDirect Link

  8. Malik, B.A., 1994. Grain Legumes. In: Crop Production, Bashir, E. and H. Bantel (Eds.). National Book Foundation, Islamabad, Pakistan, pp: 277-328.

Keywords


  • bannu
  • Mungbean
  • vigna radiata
  • correlation
  • yield

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