Data requirements for crop modelling-Applying the learning curve approach to the simulation of winter wheat flowering time under climate change

Montesino-San Martin, M, Wallach, D, Olesen, JE et al. (5 more authors) (2018) Data requirements for crop modelling-Applying the learning curve approach to the simulation of winter wheat flowering time under climate change. European Journal of Agronomy, 95. pp. 33-44. ISSN 1161-0301

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Copyright, Publisher and Additional Information: (c) 2018, Elsevier Ltd. All rights reserved. This is an author produced version of a paper published in European Journal of Agronomy. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Learning curve; Anthesis; Triticum aestivum; Dataset; Climate change
Dates:
  • Published: April 2018
  • Accepted: 14 February 2018
  • Published (online): 28 February 2018
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) > Inst for Climate & Atmos Science (ICAS) (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 31 May 2018 08:39
Last Modified: 12 Oct 2018 12:36
Status: Published
Publisher: Elsevier
Identification Number: https://doi.org/10.1016/j.eja.2018.02.003
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Embargoed until: 28 August 2019

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