Supplemental irrigation (SI) is a common practice in the dry environments a
nd aims at improving and stabilizing rainfed crops by adding small amounts
of water to rainfed crops during times when rainfall fails to provide suffi
cient moisture for normal plant growth. Results from long-term research in
experimental stations and farmer fields showed substantial increases in rai
nfed crop yields and water use efficiency in response to SI. Nevertheless,
SI comes at a cost.
The date of sowing winter wheat in a rainfed Mediterranean-type environment
depends upon the onset of rainfall. The optimal date for achieving highest
yield under rainfed conditions is around mid-November. However, farmers te
nd to sow wheat later than this date because of the delay and/or unreliabil
ity of initial rains. With SI, early sowing and crop establishment can be e
nsured. However, early sowing of all the fields' results in higher water de
mand during a very short period in spring because all the fields will be at
the peak use rate. Spreading out dates of sowing allows peak water demand
to occur over a longer period, thus reducing the discharge and the size of
irrigation system needed, and hence improves the economics of this practice
. In this paper, the impact of adopting a multi-sowing date strategy on far
m water demand and crop production is considered. A simplified optimization
model solved by linear programming is presented. Four-years' data (1992-19
96) from field experimental research conducted on bread wheat in northern S
yria have been used in the analysis.
We showed that a multi-sowing date strategy has reduced the peak farm water
demand rate by more than 20%, thus potentially reducing irrigation system
capacity and/or size. Alternatively, the water demand rate of a larger area
can be met with the same water supply. However, optimal sowing dates that
minimize farm water demand rate do not always maximize total farm productio
n. The outcome depends on crop water requirements and yield for each sowing
date. Furthermore, this selection is greatly influenced by the level of wa
ter scarcity. The approach used can help in reducing the cost of irrigation
and improving the efficiency of water use in SI. (C) 2001 Elsevier Science
B.V. All rights reserved.