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2. Global needs for nitrogen fertilizer to improve wheat yield under climate change

15. Simulation of soil temperature under maize: An inter-comparison among 33 maize models

18. Long-term soil organic carbon and crop yield feedbacks differ between 16 soil-crop models in sub-Saharan Africa

19. Winter wheat yield prediction using convolutional neural networks from environmental and phenological data

20. Effects of changes in climatic means, variability, and agro-technologies on future wheat and maize yields at 10 sites across the globe

23. Proposal and extensive test of a calibration protocol for crop phenology models

41. The chaos in calibrating crop models: Lessons learned from a multi-model calibration exercise

44. Multi-model evaluation of phenology prediction for wheat in Australia

45. How well do crop modeling groups predict wheat phenology, given calibration data from the target population?

48. The importance of model structure and soil data detail on the simulations of crop growth and water use : A case study for sugarcane

50. Why do crop models diverge substantially in climate impact projections? A comprehensive analysis based on eight barley crop models

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