Optimizing water-saving irrigation schemes for rice (Oryza sativa L.) using DSSAT-CERES-Rice model

Rice is one of the major crops in China, and enhancing rice yield water use efficiency critical to ensuring food security China. Determining how optimize a scientific efficient irrigation drainage scheme by combining existing technology currently hot topic. Crop growth models can be used assess actual or proposed management regimes intended increase mitigate shortages. In this study, CERES-Rice model was calibrated validated using two-year field experiment. Four treatments were designed for experiment: alternate wetting drying (AWD), controlled (CD), low level (CID1), high (CID2). According indicators normalized root mean square error (NRMSE) index agreement (d), accurately predicted grain (NRMSE=6.67%, d=0.77), , shoot biomass (NRMSE = 3.37%, d 0.77), evapotranspiration (ETa) 3.83%, 0.74), volume 15.56%, 0.94), leaf area 9.69%, 0.98) over 2 a. The subsequently evaluate production response four (AWD, CD, CID1, CID2) under 60 meteorological scenarios which divided into wet years (22 a), normal (16 dry a). Results showed that AWD largest among different hydrological years. Relative AWD, CID2 respectively reduced 5.7%, 2.6%, 8.7% years, 9.2%, 2.3%, 8.6% 3.8%, 3.9% However, rainwater greatest entropy-weighting TOPSIS water-saving schemes terms water-saving, labor-saving high-yield, based on simulation results past These CID1 optimal may provide strong basis optimization rice. Key words: CERES-Rice, drainage, long-term weather data, DOI: 10.25165/j.ijabe.20231602.7361 Citation: Gao S K, Gu Q Q, Gong X W, Li Y B, Yan F, Y. Optimizing (Oryza sativa L.) DSSAT-CERES-Rice model. Int J Agric & Biol Eng, 2023; 16(2): 142-151.