Agriculture Reference
In-Depth Information
Figure 6.2: a) Average tomatoes yield for 2008; b) Fertilizer input for
tomatoes.
6.4 D
ATA
A
NALYSIS
This section analyses the factors affecting the yield of all the technologies
using a simple regression analysis model. It also analyses the water
productivity of all the technologies as well as the value of water obtained.
The final analysis concerns the socio-economic impact of the various
irrigation technologies.
6.4.1 Analysis of crop yield of irrigation
technologies
A regression analysis was performed on all 90 tomato farmers included in the
analysis to establish the relationship between crop yield and other input
parameters, such as fertilizer, water consumption, water source, and water
application method, characteristic of the different irrigation technologies in
the sample. The following mathematical equation was established:
Y = -2.2 + 201.4×A_f + 17.7×D_grw + 17.6×D_man
(Equation 6.2)
r
2
= 0.76
where: Y = crop yield (kg/m
2
)
A_f = amount of fertilizer applied (kg/m
2
)
D_grw = dummy variable for if the source of water is groundwater
(D=1) or surface water (D=0)
D_man = dummy variable for if water is applied manually (D=1)
or mechanically (D=0)
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