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ARS Home » Pacific West Area » Maricopa, Arizona » U.S. Arid Land Agricultural Research Center » Plant Physiology and Genetics Research » Research » Publications at this Location » Publication #339785
Research Project: Strengthening the Analysis Framework of G x E x M under Climate Uncertainty

Location: Plant Physiology and Genetics Research

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

Author
item MARTRE, PIERRE - Institut National De La Recherche Agronomique (INRA)
item REYNOLDS, MATTHEW - International Maize & Wheat Improvement Center (CIMMYT)
item ASSENG, SENTHOLD - University Of Florida
item EWERT, FRANK - University Of Bonn
item ALDERMAN, PHILIP - Oklahoma State University
item CAMMARANO, DAVIDE - The James Hutton Institute
item MAIORANO, ANDREA - Institut National De La Recherche Agronomique (INRA)
item RUANE, ALEX - Nasa Goddard Institute For Space Studies
item AGGARWAL, PRAMOD - International Water Management Institute
item ANOTHAI, JAKARAT - Washington State University
item BASSO, BRUNO - Michigan State University
item BIERNATH, CHRISTIAN - German Research Center For Environmental Health
item CHALLINOR, ANDREW - University Of Leeds
item DE SANCTIS, GIACOMO - European Commission-Joint Research Centre (JRC)
item DOLTRA, JORDI - Federal Research And Training Centre For Forests
item DUMONT, BENJAMIN - Michigan State University
item FERERES, ELIAS - Universidad De Cordoba
item GARCIA-VILA, MARGARITA - Universidad De Cordoba
item GAYLER, SEBASTIAN - University Of Hohenheim
item HOOGENBOOM, GERRIT - University Of Florida
item HUNT, LESLIE - University Of Guelph
item IZAURRALDE, ROBERTO - Global Change Research Institute
item JOBLOU, MOHAMED - Aarhus University
item JONES, CURTIS - University Of Maryland
item KASSIE, BELAY - University Of Florida
item CHRISTIAN, KURT - Leibniz Centre
item KOEHLER, ANN-KRISTIN - University Of Leeds
item MULLER, CHRISTOPH - Potsdam Institute
item KUMAR, SOORA - Indian Agricultural Research Institute
item LIU, BING - Nanjing Agricultural University
item LOBELL, DAVID - Stanford University
item NENDEL, CLAAS - Leibniz Centre
item O'LEARY, GARRY - Department Of Primary Industries
item OLESEN, JORGEN - University Of Aarhus
item PALOSUO, TARU - Mtt Agrifood Research Finland
item PRIESACK, ECKART - German Research Center For Environmental Health
item REZAEI, EHSAN
item RIPOCHE, DOMINIQUE - French National Institute For Agricultural Research
item ROTTER, REIMUND - Natural Resources Institute Finland (LUKE)
item SEMENOV, MIKHAIL - Rothamsted Research
item STOCKLE, CLAUDIO - Washington State University
item STRATONOVITCH, PIERRE - Rothamsted Research
item STRECK, THILO - University Of Hohenheim
item SUPIT, IWAN - Wageningen University
item TAO, FULU - Chinese Academy Of Sciences
item THORNBURN, PETER - Commonwealth Scientific And Industrial Research Organisation (CSIRO)
item WAHA, KATHARINA - Potsdam Institute
item WANG, ENLI - Commonwealth Scientific And Industrial Research Organisation (CSIRO)
item White, Jeffrey
item WOLF, JOOST - Wageningen University
item ZHAO, ZHIGAN - China Agricultural University
item ZHU, YAN - Nanjing Agricultural University

Submitted to: Open Data Journal for Agricultural Research
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 1/30/2017
Publication Date: 6/13/2017
Citation: Martre, P., Reynolds, M., Asseng, S., Ewert, F., Alderman, P.D., Cammarano, D., Maiorano, A., Ruane, A.C., Aggarwal, P.K., Anothai, J., Basso, B., Biernath, C., Challinor, A.J., De Sanctis, G., Doltra, J., Dumont, B., Fereres, E., Garcia-Vila, M., Gayler, S., Hoogenboom, G., Hunt, L.A., Izaurralde, R.C., Joblou, M., Jones, C.D., Kassie, B.T., Christian, K., Koehler, A., Muller, C., Kumar, S.N., Liu, B., Lobell, D., Nendel, C., O'Leary, G., Olesen, J.E., Palosuo, T., Priesack, E., Rezaei, E.E., Ripoche, D., Rotter, R.P., Semenov, M.A., Stockle, C.O., Stratonovitch, P., Streck, T., Supit, I., Tao, F., Thornburn, P., Waha, K., Wang, E., White, J.W., Wolf, J., Zhao, Z., Zhu, Y. 2017. 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. 3:23-28. https://doi.org/10.18174/odjar.v3i1.15766.
DOI: https://doi.org/10.18174/odjar.v3i1.15766

Interpretive Summary: There is increasing interest in promoting better decision making in agriculture by considering quantitative evidence. Key to this goal is providing researchers access to datasets that accurately describe how crops to different growing conditions. In this case, a dataset is made freely available that concerns how spring wheat responds to high temperatures, presenting both field data and results from computer simulations that attempt to describe the field results. The dataset contains a portion of the International Heat Stress Genotype Experiment (IHSGE) data used 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. By providing open-access to this datatset, researchers will have many options to examine how wheat crops respond to high temperatures, ultimately leading to cultivars and management practices that increase wheat yields in warmer, irrigated regions such as in southern Arizona and California.

Technical 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.