Agricultural Science Digest

  • Chief EditorArvind kumar

  • Print ISSN 0253-150X

  • Online ISSN 0976-0547

  • NAAS Rating 5.52

  • SJR 0.156

Frequency :
Bi-monthly (February, April, June, August, October and December)
Indexing Services :
BIOSIS Preview, Biological Abstracts, Elsevier (Scopus and Embase), AGRICOLA, Google Scholar, CrossRef, CAB Abstracting Journals, Chemical Abstracts, Indian Science Abstracts, EBSCO Indexing Services, Index Copernicus
Submit

Agricultural Science Digest, volume 20 issue 4 (december 2000) : 234-237

LEAF AREA ESTIMATION OF FLEMINGIA SEMIALATA ROXB. BY UNEAR REGRESSION

S.K. Yadav, Y.D. Mishra, B.P. Singh, P. Kumar'
1Division of Lac Production Indian Lac Research Institute, Ranchi-834 OlD. India

  • Submitted|

  • First Online |

  • doi

Cite article:- Yadav S.K., Mishra Y.D., Singh B.P., Kumar' P. (2024). LEAF AREA ESTIMATION OF FLEMINGIA SEMIALATA ROXB. BY UNEAR REGRESSION. Agricultural Science Digest. 20(4): 234-237. doi: .

ABSTRACT

With a view to device simple and convenient method for nondestructive estimation of
leaf area with high accuracy, correlation and regression analysis was conducted by taking
actual leaf area by graphical method as dependent and' 10 easily accessible leaf parameters as
independent variable and also by calculating correction factors. The result indicated that all
the 10 independent variables have highly significant positive correlation, contributing significantly
to the variation recorded in the dependent variable. considering coefficient of determination
obtained in each case it can also be said that the petiole length (Xl) Cilone may
explain, towards the lower side, 61.38% while the total calculated leaf area (sum L x B of
three leaflets), to the higher side, may explC'in 99.4% of variation in the adual leaf area.
Comparative efficiency of correction factor and four most efficient RE derived for easily
accessible parameters, clearly indicated the least deviation from the actual area and estimated
area in case of RE for calculated leaf aera where as the highest in case of RE for the third
leaflet. length. Thus, two separate RE for estimation of leaf area for a single leaf and for
Ii!rger leaves sample have been proposed and discussed.

KEYWORDS

    REFERENCES

    1. Bharat, B. et al. (l,SJ88). Sci. Cult., 54 : 200-202.
    2. Hegde, D.M. (1979). Curr. Sci., 48 : 319-320.
    3. Hopkins, J.w. (1939). Can. J. Res. 17 : 300-3.04.
    4. Johnson, R.E. (1967). Agran. J., 59 : 493-494.
    5. Kumar, P. eta/. (1997). J. Non-Timber Forest Products. 4 : 175.
    6. Lal, R.N. and Suba Rao, M.S. (1950). Sci. Cult., 15 : 355-356.
    7. Montagomery, E.e. (1911). 24th Ann. Rep. Nebarsk Agric. Expt. Sta., 111-159.
    8. Murugesh, M. et aJ. (1998), Indian J. Forestry, 21 : 365-366.
    9. Rao, J'v. (1978). Curr. Sci., 47 : 741-742.
    10. Singh, B.P. (1992) Indian Forester, U8 : 438-440.
    11. Wierma, J.v. and Bailery, T.B. (1975j. Agron. J. 67 : 26-30
    Reviewed By

    Download Article
    In this Article
      Contact us
      Follow us

      Editorial Board

      View all (0)