Management of rice production systems to increase productivity

Rainfall data
The model for analyzing the individual variables is as follows:
Where:
Yijkl = μ + Yri + Fertj + Vark + (Yr*Fert)ij + (Yr*Var)ik + (Fert*Var)jk +
+ (Yr*Fert*Var)ijk + εijkl
(i= 1,2,3; j = 1,2,3,4; k =1,2,3,4; l = 1,2,3,… ...,48)
Yijkl – the response from l th plot in the j th block in the
i th year using the k th treatment variety
μ – overall mean
Yri – effect of the i th year ‐ iid N(0, σ 2 Yr)
Fertj – effect of j th fertilizer level ‐ iid N(0, σ 2 Fert)
Vark – effect of k th variety treatment ‐ ∑Trt=0
εijkl – experimental error ‐ iid N(0, σ 2 ε)
All of the above are pairwise independent
Significant differences among treatments were determined using a
three‐factor analysis of variance (ANOVA) model. Comparison of treatment
means was done using the least significant difference (LSD) test. Data points
for all the measured variables were independent, normally distributed, with
equal variance. No transformation of data was necessary. All results reported
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