International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 7, Issue:9, September, 2018

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : /
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2018.7(9): 3345-3351

Statistical Models to Predict the Height of Trees and Yield of Field Crop in the Agroforestry System
R. Veena, S.N. Megeri*, and S.J. Patil
Department of Agricultural Statistics, University of Agricultural Sciences, Dharwad - 580005, Karnataka, India
*Corresponding author

In this investigation an effort is made to fit a model for the height of different tree species and the yield of field crop. Here we have considered three trees species namely Ceiba pentandra, Terminalia bellarica, Mangifera indicia and soybean as field crop. The required data was collected from AICRP on agroforestry, UAS Dharwad. The different models were tried and the best two models were selected based on R2 and Standard error values. The best fitted models for height of Ceiba pentandra, Terminalia bellarica and Mangifera indicia were MMF model followed by Gompertz relation, MMF model followed by Weibull model and MMF model followed by polynomial. The results indicated that MMF model was found better for all the tree species. To predict the yield of field crop (soybean, at 1m distance) was increased in the beginning i.e. up to five years and then declining trend was notice. The best fitted models for the yield of soybean were, Rational model followed by Sinusoidal model in case of Ceiba pentandra, Rational model followed by Hoerl model for Terminalia bellarica, and Hoerl model followed by Rational model for Mangifera indicia.

Keywords: Morgan-Mercer-Flodin (MMF), Gompertz, Weibull, Sinusoidal, Hoerl, Rational etc.

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How to cite this article:

Veena, R., S.N. Megeri and Patil, S.J. 2018. Statistical Models to Predict the Height of Trees and Yield of Field Crop in the Agroforestry System.Int.J.Curr.Microbiol.App.Sci. 7(9): 3345-3351. doi:
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.