کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
84421 158881 2012 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A variable thermal time of the double ridge to flag leaf emergence phase improves the predictive quality of a CERES-Wheat type phenology model
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
A variable thermal time of the double ridge to flag leaf emergence phase improves the predictive quality of a CERES-Wheat type phenology model
چکیده انگلیسی

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.


► We modified the wheat phenology model CERES-Wheat by introducing explicitly leaf initiation and leaf appearance.
► The thermal time from double ridge stage to flag leaf emergence therefore now is variable.
► A large number of phenology observations (>6000) throughout Germany was used for parameterisation and evaluation.
► The modified approach resulted in lower predictions errors for phenological stages of wheat.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers and Electronics in Agriculture - Volume 89, November 2012, Pages 62–69
نویسندگان
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