Performance of process-based models for simulation of grain N in crop rotations across Europe
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DOI: 10.1016/j.agsy.2017.03.005
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- Baum, Mitchell E. & Sawyer, John E. & Nafziger, Emerson D. & Huber, Isaiah & Thorburn, Peter J. & Castellano, Michael J. & Archontoulis, Sotirios V., 2023. "Evaluating and improving APSIM's capacity in simulating long-term corn yield response to nitrogen in continuous- and rotated-corn systems," Agricultural Systems, Elsevier, vol. 207(C).
- Ahmed, Moiz Uddin & Hussain, Iqbal, 2022. "Prediction of Wheat Production Using Machine Learning Algorithms in northern areas of Pakistan," Telecommunications Policy, Elsevier, vol. 46(6).
- Lu, Junsheng & Xiang, Youzhen & Fan, Junliang & Zhang, Fucang & Hu, Tiantian, 2021. "Sustainable high grain yield, nitrogen use efficiency and water productivity can be achieved in wheat-maize rotation system by changing irrigation and fertilization strategy," Agricultural Water Management, Elsevier, vol. 258(C).
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Keywords
Calibration; Crop model; Crop rotation; Grain N content; Model evaluation; Model initialization;All these keywords.
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