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Irrigation Management Strategies for Winter Wheat Using Aquacrop Model

Dr. M. H. Ali
BINA

I. Abustan
Prof.
Uni. Sains Malaysia

Abstract/ Executive Summary:

Many regions of the world face the challenge to ensure high yield with limited water supply. This calls for utilization of available water in an efficient and sustainable manner. Quantitative models can assist in management decision and planning purposes. The FAO’s newly developed crop-water model, AquaCrop, which simulates yield in response to water, has been calibrated for winter wheat and subsequently used to simulate yield under different sowing dates, irrigation frequencies, and irrigation sequences using 10 years daily weather data. The simulation results suggest that “2 irrigation frequency” is the most water-efficient schedule for wheat under the prevailing climatic and soil conditions. The results also indicate decreasing yield trend under late sowing. The normal/recommended sequence of irrigation performed better than the seven-days shifting from the normal. The results will help to formulate irrigation management plan based on the resource availability (water, and land availability from previous crop).

Keywords: Wheat, AquaCrop, Efficient water use, Water productivity, Irrigation management

Location: Ishurdi, Pabna

Start Date: 00-00-2002

End Date: 00-00-2005

Program Area: Crop-Soil-Water Management

Commodity: Wheat

Objectives:

To simulate wheat yield under different sowing dates, irrigation frequencies, and irrigation sequences; with a view to help develop better irrigation management plan under the above mentioned diverse situations.

Methodology:

AquaCrop version 3.1 was used in this study. It was developed by the Land and Water Division of FAO. Field experiment was conducted for three consecutive years (2002-03, 2003-04 and 2004-05) at the experimental farm of Bangladesh Institute of Nuclear Agriculture (BINA), Ishurdi, Bangladesh. The experimental design was a randomized complete block (RCB), with four replications. Independent data sets (for the year 2003-04 & 2004-05) were used to evaluate the performance of AquaCrop model. All the calibrated parameters (along with average HI and K_c values) were used in simulation process. The weather, irrigation, and initial condition of the particular years were used as input for simulation purpose. In evaluation of simulated output, graphical and statistical comparisons were made. The following statistics were used to indicate overall model performance: Mean bias or error (ME), mean absolute error (MAE), root mean square error (RMSE), and relative error (RE) (Loague and Green, 1991). After calibration and validation/evaluation of the AquaCrop model, it was used to simulate yield for different irrigation treatments under different sowing dates and irrigation sequences.

Source of Information: J. of Natural Resour. and Dev., 03: 106-113, (2013)

Article Link (Online Journal):

Funding Source:

Budget:

Total Budget (Tk.) :

Achievement/Findings:

The coefficient of determination, IA, RE, and RMSE were 0.99, 0.994, 7.4%, and 0.45, respectively; which indicates that the model fitted the observed data set very well. The data points except the simulated output for extreme water-deficit treatments (no irrigation, and only one irrigation) are close to the 1:1 line, which indicates reasonable prediction of grain and biomass yield. The simulation study demonstrates that “2 irrigation frequency” is the most water-efficient schedule for wheat under the prevailing climatic and soil conditions. Among the sowing dates, the Nov.23 sowing produced the lowest yield for all irrigation frequencies and sequences. Among the sequences, the sequence S₁ for 2 frequencies and sequence S₂ for 3 frequencies performed better. So, these two sequences should be used, depending on 2 or 3 irrigation frequency, along with Nov.7 sowing is the first preference and Nov.15 sowing is the second preference.

Knowledge Management: Journal