首页> 外文期刊>Computers and Electronics in Agriculture >A variable thermal time of the double ridge to flag leaf emergence phase improves the predictive quality of a CERES-Wheat type phenology model.
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A variable thermal time of the double ridge to flag leaf emergence phase improves the predictive quality of a CERES-Wheat type phenology model.

机译:双脊标记叶出苗期的可变热时间提高了CERES-Wheat类型物候模型的预测质量。

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摘要

A modified version of the widely used CERES-Wheat phenology model (CWm) was developed introducing variable thermal time from double ridge stage to flag leaf emergence and compared with the original model (CW V3.x). Both model versions were newly implemented and calibrated using routinely collected field ratings of phenological stages of winter wheat crops. Calibration for all parameters of both model versions was done using a step by step procedure thereby using different methods for parameter identification. For calibration and validation of the model a data set containing more than 6000 single observations of wheat phenology was used. The improved model version had a better prediction of phenological (BBCH) stages compared to the original CW approach for an independent validation data set. The average RMSE for BBCH 37 and BBCH 39 was decreased by two and five days, respectively. We could show that it was possible to calibrate the wheat phenology models using solely routinely available field ratings. Because the predictive quality for wheat phenology of actual wheat crop growth simulators without calibration especially often is still limited the presented approach may be seen as an approach for improving this type of models without especially designed experiments.
机译:开发了广泛使用的CERES-Wheat物候模型(CWm)的修改版本,引入了从双垄期到旗叶出苗的可变热时间,并与原始模型(CW V3.x)进行了比较。这两个模型版本都是新实施的,并使用常规收集的冬小麦物候期的田间评级进行了校准。使用分步程序对两个模型版本的所有参数进行校准,从而使用不同的方法进行参数识别。为了校准和验证模型,使用了包含6000多个小麦物候观测值的数据集。与用于独立验证数据集的原始CW方法相比,改进的模型版本对物候(BBCH)阶段的预测更好。 BBCH 37和BBCH 39的平均RMSE分别减少了两天和五天。我们可以证明,仅使用常规的田间评级就可以校准小麦物候模型。由于特别是经常没有校准的实际小麦作物生长模拟器的小麦物候学的预测质量仍然很有限,因此该方法可被视为无需专门设计的实验即可改善此类模型的方法。

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