Publication Abstracts

Guarin and Asseng. S. 2017

Guarin, J.R., and Asseng. S., 2017: Wheat crop modelling to improve yields. In Achieving Sustainable Cultivation of Wheat, vol. 2, Burliegh Dodds, pp. 107-141, doi:10.19103/AS.2016.0004.27.

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.

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BibTeX Citation

  author={Guarin, J. R. and Asseng. S.},
  title={Wheat crop modelling to improve yields},
  booktitle={Achieving Sustainable Cultivation of Wheat},
  publisher={Burliegh Dodds},

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RIS Citation

ID  - gu07100r
AU  - Guarin, J. R.
AU  - Asseng. S.
PY  - 2017
TI  - Wheat crop modelling to improve yields
BT  - Achieving Sustainable Cultivation of Wheat
VL  - 2
SP  - 107
EP  - 141
DO  - 10.19103/AS.2016.0004.27
PB  - Burliegh Dodds
ER  -

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