Publication Abstracts

Guarin and Asseng 2022

Guarin, J.R., and S. Asseng, 2022: Improving wheat production and breeding strategies using crop models. In Wheat Improvement: Food Security in a Changing Climate. M.P. Reynolds and H.-J. Braun, Eds. Springer, pp. 573-591, doi:10.1007/978-3-030-90673-3_31.

Crop simulation models are robust tools that enable users to better understand crop growth and development in various agronomic systems for improved decision making regarding agricultural productivity, environmental sustainability, and breeding. Crop models can simulate many agronomic treatments across a wide range of spatial and temporal scales, allowing for improved agricultural management practices, climate change impact assessment, and development of breeding strategies. This chapter examines current applications of wheat crop models and explores the benefits from model improvement and future trends, such as integration of G × E × M and genotype-to-phenotype interactions into modeling processes, to improve wheat (Triticum spp.) production and adaptation strategies for agronomists, breeders, farmers, and policymakers.

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BibTeX Citation

@inbook{gu01200v,
  author={Guarin, J. R. and Asseng, S.},
  editor={Reynolds, M. P. and Braun, H.-J.},
  title={Improving wheat production and breeding strategies using crop models},
  booktitle={Wheat Improvement: Food Security in a Changing Climate},
  year={2022},
  pages={573--591},
  publisher={Springer},
  doi={10.1007/978-3-030-90673-3_31},
}

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RIS Citation

TY  - CHAP
ID  - gu01200v
AU  - Guarin, J. R.
AU  - Asseng, S.
ED  - Reynolds, M. P.
ED  - Braun, H.-J.
PY  - 2022
TI  - Improving wheat production and breeding strategies using crop models
BT  - Wheat Improvement: Food Security in a Changing Climate
SP  - 573
EP  - 591
DO  - 10.1007/978-3-030-90673-3_31
PB  - Springer
ER  -

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