Statistical study on pre-harvest forecasting of apple yield
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Date
2014
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Abstract
The present study entitled “Statistical study on pre-harvest forecasting of apple yield” was
undertaken in the Department of Basic Science, Dr. Y.S. Parmar University of Horticulture and
Forestry, Nauni, Solan 173230 (H.P.) during 2012-2014. The primary data were collected on the S
yield and biometrical characters of apple trees of five blocks (Kullu, Nagar, Banjar, Anni and
Nirmand) of Kullu district of H.P. Maximum yield was observed in Nagar block & minimum in
Banjar block during the study. Yield was found to be significantly and positively correlated with age,
height, girth, diameter, canopy (N-S), canopy (E-W) and number of branches biometrical characters
of apple tree. In Kullu block, cubic model was best fitted for tree age to predict apple yield. S- curve
model was best fitted for height, girth, diameter and volume to predict apple yield. Quadratic model
best fitted for canopy (N-S), canopy (E-W) and number of branches to predict apple yield. In Nagar
block, power model was best fitted for tree age to predict apple yield. S model was best fitted for
height, girth, diameter and volume to predict apple yield. Exponential model was best fitted for
canopy (N-S) and canopy (E-W) to predict apple yield. Growth model was best fitted for number of
branches to predict apple yield. In Banjar block, cubic model fitted best for tree age to predict apple
yield. Logarithmic model fitted best for girth, diameter and volume to predict apple yield. Quadratic
model fitted best for height, canopy (E-W) and number of branches to predict apple yield. Linear
model fitted best for canopy (N-S) to predict apple yield. In Anni block, power model was best fitted
for girth, diameter, canopy (N-S) and volume to predict apple yield. Quadratic model was best fitted
for height and number of branches to predict apple yield. Cubic model was best fitted for tree age to
predict apple yield. S model was best fitted for canopy (E-W) to predict apple yield. In Nirmand
block, cubic model was best fitted for tree age, height and diameter to predict apple yield. Linear
model fitted best for girth, canopy (N-S) and canopy (E-W) to predict apple yield. Quadratic model
fitted best for volume and number of branches to predict apple yield. Whereas, forecasting model
based on multiple regression analysis for Kullu district is
Y=1.1272+0.9638X1+2.6485X2+3.5237X3+0.2138X4+0.4467X5+0.8395X6+1.3490X7+1.0280X8
found to be fitted well based on R
2
, adjusted R
2
, SSE and RMSE in the data of biometrical characters
of apple tree
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