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APPLICATION AND ESTIMATION OF WHEAT PRODUCTION EMULATION SYSTEM IN HEBEI PROVINCE

机译:小麦生产仿真系统在河北省的应用与估算。

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In according with wheat ecophysiological characteristics, the author appliedtechnologies of system engineering method, crop simulation and computer to build wheat developing process cooperative models including growth model, developmental phase models, water balance model and nitrogen balance model etc. with the support of basic data such as variety characteristics, weather data, soil level and cultivation management, then further constructed Wheat Production Emulation System (WPES) with several additional functions such as determining variety characteristic parameters, deciding the planting design, simulating wheat phenology stages and production features, warning of the nitrogen leaching in advance, simulating the water and nitrogen deficit degree and wheat growth three-dimensional display. This system was validated and calibrated through actual experiment for four wheat growing seasons in Hebei province. Predicted yield and biomass were significantly correlated with observed data (R2>0.47), and the Root Mean Square Error were 5.89% and 8.94% of its observed average yield and biomass. The results verified its strong mechanism and prediction performance as well as its universal adaptation.
机译:结合小麦的生理生态特点,应用 系统工程方法,作物模拟和计算机技术,在品种特征,天气数据,土壤水位等基础数据的支持下,建立了小麦生长过程合作模型,包括生长模型,发育阶段模型,水平衡模型和氮平衡模型等。以及种植管理,然后进一步构建了具有若干附加功能的小麦生产模拟系统(WPES),例如确定品种特征参数,确定种植设计,模拟小麦物候阶段和生产特征,提前进行氮浸出警告,模拟水和水肥。氮素亏缺程度与小麦生长的三维显示。通过对河北省四个小麦生长季节的实际试验对该系统进行了验证和校准。预测的产量和生物量与实测数据显着相关(R2> 0.47),且均方根误差为其观测的平均产量和生物量的5.89%和8.94%。结果证明了其强大的机制和预测性能以及其通用适应性。

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