Application of CERES-Maize for within-season prediction of rainfed corn yields in Delaware, USA

The objective of this study was to determine whether the CERES-Maize crop simulation model can be used to predict rainfed corn yield up to 4 months prior to harvest. Required weather data were provided by combining the observed weather conditions up until the time of the forecast with predictions of...

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Veröffentlicht in:	Agricultural and forest meteorology 2008-06, Vol.148 (6), p.964-975
Hauptverfasser:	Quiring, Steven M., Legates, David R.
Format:	Artikel
Sprache:	eng
Schlagworte:	accuracy Agricultural and forest climatology and meteorology. Irrigation. Drainage agricultural forecasts Agronomy. Soil science and plant productions Biological and medical sciences CERES-Maize CERES-Maize model Corn crop models Crop simulation models decision making Delaware dryland farming Fundamental and applied biological sciences. Psychology General agronomy. Plant production grain yield harvest date meteorological parameters model validation prediction simulation models Yield yield forecasting Zea mays
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