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Wheat crop modelling to improve yields

Code: 9781838793166
J. R. Guarin and S. Asseng, University of Florida, USA

Chapter synopsis: Crop simulation models are robust tools for scientists, farmers and policymakers that can be used to develop practices and strategies to increase agricultural productivity and sustainability on a local, regional or global scale under conditions and treatments difficult or impossible to test using solely field experimentation. Crop models are increasingly being used to explore solutions to issues such as global food security, climate change impact assessment and adaptation, nitrogen fertilization, irrigation and seasonal variability management. This chapter examines the experimental data sets, dynamic modelling processes and fundamental applications of current wheat (Triticum spp.) crop models, as well as future trends and challenges of wheat crop modelling.

DOI: 10.19103/AS.2016.0004.27
Table of contents 1 Introduction 2 Extrapolation from crop models in time and space 3 Experiments for testing crop models 4 Adapting crop models for climate change impact 5 Natural resource management 6 Managing seasonal variability 7 Decision support for farmers 8 Future trends 9 Conclusion 10 Where to look for further information 11 Acknowledgements 12 References

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