Simulation At Regional Level Of Irrigated Wheat
And Tomato In A Mediterranean Environment
Author(s)
M. Rinaldi & R. Ubaldo
Abstract
In Mediterranean countries, where water-limited conditions are frequent, it is
important to identify soil and crop management which optimize resources
transformation and maximize farmers’ return. In this research a seasonal merged
with a spatial analysis was simulated with AEGIS/WIN, a Geographic
Information Systems (GIS) interface from the DSSAT crop simulation package.
The case-study refers to a 1000 km2 area (Southern Italy), characterized by
481 soil samples collected at a regular grid. Durum wheat and processing tomato
have been simulated punctual-based using soil and long-term weather data
(45 years). The two crops have been compared in the following management
scenarios: rainfed and three automatic irrigation levels based on soil water
content thresholds. Averages and standard deviations of commercial yield (grain
and fruit), seasonal irrigation amount, number and profitability were evaluated as
model output. GIS allowed one to visualise the output variables in the soil
polygons. The wheat productivity was increased by irrigation of 19% and no
difference occurred among automatic irrigation thresholds. In tomato the
irrigation increased the yield by 3 times with respect to rainfed, with no
difference among irrigation scenarios. Net return of wheat was higher in rainfed
than irrigated scenarios also for the cost of water and the low price of the
product. For tomato CAW 50% resulted in the most profitable scenario. The
\“soil x climate” interaction (rainfall, temperature and soil water holding
capability) influenced the spatial response at regional level, allowing us to
identify the area more productive for wheat and tomato.
Keywords: simulation model, durum wheat, processing tomato, irrigation
scenarios, soil water content, net return.
Keywords
simulation model, durum wheat, processing tomato, irrigation
scenarios, soil water content, net return.
Related Book
Other papers in this volume
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