Journal of Applied and Natural Science 7 (2): 691-699 (2015)
Calibration, validation and application of AquaCrop model in irrigation scheduling for rice under northwest India
S. S. Sandhu1*, S. S. Mahal2 and Prabhjyot Kaur3
1,3School of Climate Change and Agricultural Meteorology, Punjab Agricultural University, Ludhiana-143109 (Punjab), INDIA
2Department of Agronomy, Punjab Agricultural University, Ludhiana-143109 (Punjab), INDIA
*Corresponding author. E-mail: firstname.lastname@example.org
Abstract : A lot of research work regarding irrigation scheduling in rice has been carried out at global level with the objective of increasing irrigation water productivity (IWP) and sustaining grain yield. Under natural conditions rain disturb the planned irrigation treatments. One way to overcome this problem is to use rain shelters which is a costly affair, crop growth simulation models offer a good scope to conduct such studies by excluding the effect of rain. Very limited studies are available where FAO’s AquaCrop model has been used to develop irrigation schedule for crops. Therefore, a study was conducted using FAO AquaCrop model to develop irrigation schedule for rice having higher IWP. The model was calibrated and validated using the experimental data of field experiments conducting during 2009 and 2010, respectively. The model underestimated the above ground dry biomass at 30 days after transplanting (DAT) in the range of 21.60 to 24.85 %. At the time of harvest the model overestimated the above ground dry biomass within the range 11.58 to 14.34 %. At harvest the values of normalized root mean square error (15.54%) suggested a good fit for the above ground dry biomass and an excellent agreement (3.34%) between observed and model predicted grain yield. The model suggested to irrigate rice transplanted in puddled loamy sand soil on every 5th day to get higher IWP coupled with statistically similar grain yield as obtained with daily irrigation schedule.
Keywords :Above ground dry biomass, Grain yield, Puddled rice, Water productivity