Performance evaluation of AquaCrop and DSSAT-SUBSTOR-Potato models in simulating potato growth, yield and water productivity under various drip fertigation regimes

作者：Haidong Wang, Minghui Cheng, Zhenqi Liao, Jinjin Guo, Fucang Zhang, Junliang Fan, Hao Feng, Qiliang Yang, Lifeng Wu, Xiukang Wang · 发表于：Agricultural Water Management · 年份：2022 · DOI：10.1016/j.agwat.2022.108076 · 被引用次数：38 · 研究领域：Irrigation Practices and Water Management、Climate change impacts on agriculture、Precipitation Measurement and Analysis

Water and fertilizer are two important factors affecting crop growth and yield. Crop growth models are powerful tools for making irrigation and fertilization scheduling and predicting crop yield. The performance of crop models on potato under different irrigation amounts along with different N, P and K rates has been rarely evaluated, especially under drip fertigation. In this study, the accuracy of AquaCrop and DSSAT-SUBSTOR-Potato models in simulating potato growth, yield and water productivity under different drip fertigation regimes was compared. For model calibration and validation, a two-year field experiment with three irrigation levels (W1, 60% ETC; W2, 80% ETC and W3, 100% ETC, where ETC was the crop evapotranspiration) and four fertigation (N-P2O5-K2O) rates (F1: 100–40–150 kg ha−1, F2: 150–60–225 kg ha−1, F3: 200–80–300 kg ha−1 and F4: 250–100–375 kg ha−1) was carried out in a sandy region of northwest China in 2018 and 2019. The statistical indicators showed that the AquaCrop model gave satisfactory predictions of canopy cover (R2 ≥ 0.92, NRMSE ≤ 14.7%, d ≥ 0.96 and RMSE ≤ 10.8%), total dry matter (R2 ≥ 0.92, NRMSE ≤ 25.0%, d ≥ 0.94 and RMSE ≤ 2.2 t ha−1), final dry tuber yield (R2 ≥ 0.57, NRMSE ≤ 12.21%, d ≥ 0.82 and RMSE ≤ 0.83 t ha−1) and fresh tuber yield (R2 ≥ 0.53, NRMSE ≤ 12.02%, d ≥ 0.81 and RMSE ≤ 4.91 t ha−1) in the four fertigation treatments (F1-F4) under W3 and W2 during the two potato growing seasons. The final total dry matter and tuber yield under ...