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4. A calibration protocol for soil-crop models

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

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

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

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

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

22. Simulation of maize evapotranspiration: An inter-comparison among 29 maize models

26. Combining field measurements and process‐based modelling to analyse soil tillage and crop residues management impacts on crop production and carbon balance in temperate areas.

31. A high-yielding traits experiment for modeling potential production of wheat: field experiments and AgMIP-Wheat multi-model simulations

32. AgMIP-Wheat multi-model simulations on climate change impact and adaptation for global wheat

34. Simulation of winter wheat response to variable sowing dates and densities in a high-yielding environment

35. Modeling Soil Dynamic Processes

36. AgMIP-Wheat multi-model simulations on climate change impact and adaptation for global wheat

37. A high-yielding traits experiment for modeling potential production of wheat: field experiments and AgMIP-Wheat multi-model simulations

39. Simulation of evapotranspiration and yield of maize: An inter-comparison among 41 maize models

41. Uncertainty in crop phenology simulations is driven primarily by parameter variability

45. Evidence for increasing global wheat yield potential

46. Climate Change Impact and Adaptation for Wheat Protein

47. Correlation between Neutrophil Extracellular Traps (NETs) Expression and Primary Graft Dysfunction Following Human Lung Transplantation

50. Classifying Multi-Model Wheat Yield Impact Response Surfaces Showing Sensitivity to Temperature and Precipitation Change

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