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Evaluation of statistical models for agroforestry systems

KrishiKosh

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Title Evaluation of statistical models for agroforestry systems
 
Creator R.Veena
 
Contributor S.N.Megeri
 
Subject Agricultural Statistics
 
Description The study was conducted based on secondary data. The main objective of the study
was to predict the yield of different tree species and agriculture crop. Here we have
considered seven tree species namely Azadirachta indica, Dalbergia latifolia, Prosopis
cineraria, Ceiba pentandra, Terminalia bellarica, Mangifera indicia, Tamarindus indica and
soybean as field crop in tree interspace. The required data was collected from AICRP (All
India Co-ordinated Research Project) on agroforestry, UAS Dharwad. The different models
were tried and the best two models were selected based on R2 and Standard error value. The
result indicated that Polynomial model, Sinusoidal model, MMF model, and Sinusoidal
model were found better for the height of tree species in general.
The best fitted model for Diameter of the above mentioned tree species were Gaussian
model followed by Richards model, Gaussian model followed by and Richards model, MMF
model followed by Gompertz model, Gompertz model followed by Weibull model, MMF
model followed by Gompertz model, Rational model followed by Gompertz model and MMF
model followed by Gompertz model respectively. The yield of field crop (soybean, at 1m and
5m distance) was increased in the beginning i.e. up to five years and then declining trend was
notice. The best fitted model for soybean yield was Rational and Hoerl model for both 1m
and 5m distance.
The negative correlation between the yield and diameter, yield and height and positive
correlation between height and diameter was noticed. Multiple regression also traied to find
out the yield of field crop in relation to height, dbh and weather parameters. The step down
procedure indicates the rain fall and temperature contributes more for the field crop.
 
Date 2016-11-09T17:05:08Z
2016-11-09T17:05:08Z
2010
 
Type Thesis
 
Identifier http://krishikosh.egranth.ac.in/handle/1/84740
 
Format application/pdf
 
Publisher UAS, Dharwad