Research Article | Published: 01 June 2004

Prediction models: Tool for estimation of rust severity in Teak

V. Maheswarappa and S. T. Naik

Indian Journal of Forestry | Volume: 27 | Issue: 2 | Page No. 217-219 | 2004
DOI: https://doi.org/10.54207/bsmps1000-2004-R97YOR | Cite this article

Abstract

Prediction models play an important role in forecasting the disease progression in time. The rust of Teak, which was caused by Olivea tectonae, was predicted by Logistic model. For 1-2 year Teak, the estimated Per cent Disease Index (PDI) varied from 1.88 to 47.75 with coefficient of determination r=0.988 and 2.25 to 84.41 with coefficient of determination r= 0.952 for 3-6 year Teak saplings.

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References

1. Cox, D.R. and Hinkley, D.V. (1979). Theoretical Statistics. McMillan Company, London, p. 233.  https://doi.org/10.1201/b14832

2. Sharma, J.K. and Mohanan, C. (1984). Severity of Cylindrocladium leaf blight in Eucalyptus plantation in relation to intercropping with tapioca and rainfall.  Indian Forester, 120(12): 1104-1110.

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3. Snedecor, G.W. and Cochran, W.G. (1967). Statistical Methods. Oxford and IBH Publishing Company, p. 593.

4. Wheeler, B.E.J. (1969). An Introduction to Plant Diseases. John Wiley and Sons Limited, London. pp. 301.

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How to cite

Maheswarappa, V. and Naik, S.T., 2004. Prediction models: Tool for estimation of rust severity in Teak. Indian Journal of Forestry, 27(2), pp.217-219. https://doi.org/10.54207/bsmps1000-2004-R97YOR

Publication History

Manuscript Published on 01 June 2004

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