The International Heat Stress Genotype Experiment for modeling wheat response to heat: field experiments and AgMIP-Wheat multi-model simulations - Archive ouverte HAL Access content directly
Journal Articles (Data Paper) Open Data Journal for Agricultural Research Year : 2017

The International Heat Stress Genotype Experiment for modeling wheat response to heat: field experiments and AgMIP-Wheat multi-model simulations

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Senthold Asseng
  • Function : Author
  • PersonId : 1041350
Frank Ewert
Davide Cammarano
Gerrit Hoogenboom
Taru Palosuo
Ehsan Eyshi Rezaei
Dominique Ripoche
  • Function : Author
Reimund P Rötter
Mikhail A Semenov
Peter Thorburn
  • Function : Author
  • PersonId : 973292
Katharina Waha
  • Function : Author
  • PersonId : 1080506

Abstract

The data set contains a portion of the International Heat Stress Genotype Experiment (IHSGE) data used in the AgMIP-Wheat project to analyze the uncertainty of 30 wheat crop models and quantify the impact of heat on global wheat yield productivity. It includes two spring wheat cultivars grown during two consecutive winter cropping cycles at hot, irrigated, and low latitude sites in Mexico (Ciudad Obregon and Tlaltizapan), Egypt (Aswan), India (Dharwar), the Sudan (Wad Medani), and Bangladesh (Dinajpur). Experiments in Mexico included normal (November-December) and late (January-March) sowing dates. Data include local daily weather data, soil characteristics and initial soil conditions, crop measurements (anthesis and maturity dates, anthesis and final total above ground biomass, final grain yields and yields components), and cultivar information. Simulations include both daily in-season and end-of-season results from 30 wheat models.
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Dates and versions

hal-03902125 , version 1 (15-12-2022)

Licence

Attribution - CC BY 4.0

Identifiers

Cite

Pierre Martre, Matthew P. Reynolds, Senthold Asseng, Frank Ewert, Phillip D. Alderman, et al.. The International Heat Stress Genotype Experiment for modeling wheat response to heat: field experiments and AgMIP-Wheat multi-model simulations. Open Data Journal for Agricultural Research, 2017, 3 (17), pp.23-28. ⟨10.18174/odjar.v3i1.15766⟩. ⟨hal-03902125⟩
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