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Optimality-based modelling of wheat sowing dates globally

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Qiao, S., Harrison, S. P. orcid id iconORCID: https://orcid.org/0000-0001-5687-1903, Prentice, I. C. and Wang, H. (2023) Optimality-based modelling of wheat sowing dates globally. Agricultural Systems, 206. 103608. ISSN 1873-2267 doi: 10.1016/j.agsy.2023.103608

Abstract/Summary

Sowing dates are currently an essential input for crop models. However, in the future, the optimal sowing time will be affected by climate changes and human adaptations to these changes. A better understanding of what determines the choice of wheat type and sowing dates is required to be able to predict future crop yields reliably.

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Item Type Article
URI https://reading-clone.eprints-hosting.org/id/eprint/109944
Identification Number/DOI 10.1016/j.agsy.2023.103608
Refereed Yes
Divisions Science > School of Archaeology, Geography and Environmental Science > Department of Geography and Environmental Science
Publisher Elsevier
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