Assessing the Performance of the WOFOST Model in Simulating Jujube Fruit Tree Growth under Different Irrigation Regimes

文献类型： 外文期刊

第一作者： Bai, Tiecheng

作者： Bai, Tiecheng;Zhang, Nannan;Bai, Tiecheng;Mercatoris, Benoit;Chen, Youqi

作者机构：

关键词： jujube fruit; crop growth model; soil water balance; irrigation degree; growth simulation

期刊名称：SUSTAINABILITY （ 影响因子：3.251； 五年影响因子：3.473 ）

ISSN： 2071-1050

年卷期： 2019 年 11 卷 5 期

页码：

收录情况： SCI

摘要： Cropping system models are widely employed to evaluate plant water requirements and growth situations. However, these models rarely focus on growth studies of perennial fruit trees. The aim of this study was to evaluate the performance of the WOFOST (WOrld FOod STudies) model in simulating jujube fruit tree growth under different irrigation treatments. The model was calibrated on data obtained from full irrigation treatments in 2016 and 2017. The model was validated on four deficit percentages (60%, 70%, 80%, and 90%) and one full irrigation treatment from 2016 to 2018. Calibrated R-2 and RMSE values of simulated versus measured soil moisture content, excluding samples on the day of irrigation and first day after irrigation, reached 0.94 and 0.005 cm(3) cm(-3). The model reproduced growth dynamics of the total biomass and leaf area index, with a validated R-2 = 0.967 and RMSE = 0.915 t ha(-1), and R-2 = 0.962 and RMSE = 0.160 m(2) m(-2), respectively. The model also showed good global performance, with R-2 = 0.86 and RMSE = 0.51 t ha(-1), as well as good local agreement (R-2 >= 0.8) and prediction accuracy (RMSE <= 0.62 t ha(-1)) for each growth season. Furthermore, 90% of full irrigation can be recommended to achieve a balance between jujube yields and water savings (average decline ratio of yield <= 3.8%).

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