TY - JOUR
T1 - Validation of the AquaCrop model for irrigated rice production under varied water regimes in Bangladesh
AU - Maniruzzaman, M.
AU - Talukder, M. S.U.
AU - Khan, M. H.
AU - Biswas, J. C.
AU - Nemes, A.
N1 - Funding Information:
The authors acknowledge financial support by BRRI and IRRI for conducting this research. The authors also acknowledge the Ministry of Foreign Affairs of Norway and the Royal Norwegian Embassy, Dhaka for providing training in the use of the AquaCrop model. We personally thank Dr. Dirk Raes and Ms. Hanne van Gaelen for conducting the training.
Publisher Copyright:
© 2015 Elsevier B.V.
PY - 2015/9/1
Y1 - 2015/9/1
N2 - Crop growth simulation models of varying complexity have been developed to predict the effects of soil, water, nutrients and climate on biomass and grain yields and water use efficiency of different crops. In this study, the AquaCrop model was calibrated and validated for rice crop growth modeling under different irrigation water regimes at the Bangladesh Rice Research Institute, Gazipur, Bangladesh during the 2008-09 and 2009-10 winter (dry) seasons. Three irrigation water regimes were examined: irrigation with continuous standing water (CSW), and irrigation at 3 or 5 days after water disappearance (3 or 5 DAWD) from the field as potential water saving adaptations. Model performance was evaluated in terms of prediction error (Pe), coefficient of determination (R2), the normalized root mean squared error (NRSME), the Nash-Sutcliffe model efficiency coefficient (EF) and Willmott's index of agreement (d). The model calibration yielded 0.94<R2<0.99, 14.5<NRMSE<21.6, 0.83<EF<0.95 and 0.972<0.99, 8.6<NRMSE<12.9, 0.94<EF<0.97 and d=0.99 in simulating CC percentage and above-ground biomass. In calibration and validation, respectively, the prediction errors for grain yield varied from 5.55 to 7.70% and 8.22 to 11.54%, and for biomass production from 2.62 to 5.19% and 7.95 to 11.15%, indicating good model performances. Based on crop yield, water use and its use efficiency, the IR69515-KKN-4-UBN-4-2-1-1 genotype showed better productivity in the dry season under the 3 DAWD irrigation water regime compared to the other examined treatments, which was shown by both the experimental data and the model simulations using FAO recommended conservative model parameters. The FAO AquaCrop model was able to predict rice growth and yield with acceptable accuracy under different water regimes, making this model a suitable candidate to facilitate local scenario studies related to irrigation scheduling, yield prediction or studies related to climate change and adaptation.
AB - Crop growth simulation models of varying complexity have been developed to predict the effects of soil, water, nutrients and climate on biomass and grain yields and water use efficiency of different crops. In this study, the AquaCrop model was calibrated and validated for rice crop growth modeling under different irrigation water regimes at the Bangladesh Rice Research Institute, Gazipur, Bangladesh during the 2008-09 and 2009-10 winter (dry) seasons. Three irrigation water regimes were examined: irrigation with continuous standing water (CSW), and irrigation at 3 or 5 days after water disappearance (3 or 5 DAWD) from the field as potential water saving adaptations. Model performance was evaluated in terms of prediction error (Pe), coefficient of determination (R2), the normalized root mean squared error (NRSME), the Nash-Sutcliffe model efficiency coefficient (EF) and Willmott's index of agreement (d). The model calibration yielded 0.94<R2<0.99, 14.5<NRMSE<21.6, 0.83<EF<0.95 and 0.972<0.99, 8.6<NRMSE<12.9, 0.94<EF<0.97 and d=0.99 in simulating CC percentage and above-ground biomass. In calibration and validation, respectively, the prediction errors for grain yield varied from 5.55 to 7.70% and 8.22 to 11.54%, and for biomass production from 2.62 to 5.19% and 7.95 to 11.15%, indicating good model performances. Based on crop yield, water use and its use efficiency, the IR69515-KKN-4-UBN-4-2-1-1 genotype showed better productivity in the dry season under the 3 DAWD irrigation water regime compared to the other examined treatments, which was shown by both the experimental data and the model simulations using FAO recommended conservative model parameters. The FAO AquaCrop model was able to predict rice growth and yield with acceptable accuracy under different water regimes, making this model a suitable candidate to facilitate local scenario studies related to irrigation scheduling, yield prediction or studies related to climate change and adaptation.
KW - Crop model
KW - Crop yield
KW - Dry season
KW - Nash-Sutcliffe efficiency
KW - Soil water balance
KW - Water use efficiency
UR - http://www.scopus.com/inward/record.url?scp=84936888219&partnerID=8YFLogxK
U2 - 10.1016/j.agwat.2015.06.022
DO - 10.1016/j.agwat.2015.06.022
M3 - Article
AN - SCOPUS:84936888219
SN - 0378-3774
VL - 159
SP - 331
EP - 340
JO - Agricultural Water Management
JF - Agricultural Water Management
ER -
