Using the DSSAT model to simulate wheat yield and soil organic carbon under a wheat-maize cropping system in the North China Plain
Using the DSSAT model to simulate wheat yield and soil organic carbon under a wheat-maize cropping system in the North China Plain
复制标题
利用DSSAT模型模拟华北平原小麦-玉米种植制度下小麦产量和土壤有机碳
DOI：
10.1016/s2095-3119(17)61678-2
复制
发表时间：
2017-01-01
影响因子：
4.8
通讯作者：
Liu Xiao-xia
中科院分区：
文献类型：
--
作者：
Liu Hai-long;Liu Hong-bin;Liu Xiao-xia
作物模型可以帮助研究人员理解和解释实验结果，并诊断产量差距。采用农业技术转移决策支持系统4：6模型和CENTURT土壤模型，研究了低氮(N)输入对小麦(Triticum aestivum L.)小麦-玉米(Zea Mays L.)长期定位试验(19年)的产量、籽粒氮素浓度和土壤有机碳轮换在北京昌平，中国。在小麦和玉米播种前，设不施N(不施N)和N 150(150 kg N ha-1)两个处理，磷(P)和钾(K)基肥分别为75 kg P_2O_5 ha(~(-1))和37.5 kg K_2O ha(~(-1))。该模型能较好地模拟NO处理下的小麦籽粒产量和籽粒氮浓度，但不能模拟N150处理的这些参数，也不能模拟任一N处理的SOC。模型模拟和田间试验表明，施氮肥(N150)比不施氮肥(NO)增产。结果表明，按施肥量施用无机肥不能维持作物产量和土壤有机碳水平。这表明，如果仔细校准，它可以成为评估和预测小麦-玉米种植制度下小麦产量、籽粒氮素浓度和有机碳变化趋势的有用工具。
Crop modelling can facilitate researchers' ability to understand and interpret experimental results, and to diagnose yield gaps. In this paper, the Decision Support Systems for Agrotechnology Transfer 4:6 (DSSAT) model together with the CENTURT soil model were employed to investigate the effect of low nitrogen (N) input on wheat (Triticum aestivum L.) yield, grain N concentration and soil organic carbon (SOC) in a long-term experiment (19 years) under a wheat-maize (Zea mays L.) rotation at Changping, Beijing, China. There were two treatments including NO (no N application) and N150 (150 kg N ha(-1)) before wheat and maize planting, with phosphorus (P) and potassium (K) basal fertilizers applied as 75 kg P2O5 ha(-1) and 37.5 kg K2O ha(-1), respectively. The DSSAT-CENTURY model was able to satisfactorily simulate measured wheat grain yield and grain N concentration at NO, but could not simulate these parameters at N150, or SOC in either N treatment. Model simulation and field measurement showed that N application (N150) increased wheat yield compared to no N application (NO). The results indicated that inorganic fertilizer application at the rates used did not maintain crop yield and SOC levels. It is suggested that if the DSSAT is calibrated carefully, it can be a useful tool for assessing and predicting wheat yield, grain N concentration, and SOC trends under wheat-maize cropping systems.