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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 #336858

Research Project: Strengthening the Analysis Framework of G x E x M under Climate Uncertainty

Location: Plant Physiology and Genetics Research

Title: The Hot Serial Cereal Experiment for modeling wheat response to temperature: field experiments and AgMIP-Wheat multi-model simulations

Author
item MATRE, PIERRE - Institut National De La Recherche Agronomique (INRA)
item Kimball, Bruce
item OTTMAN, MICHAEL - University Of Arizona
item Wall, Gerard - Gary
item White, Jeffrey
item ASSENG, SENTHOLD - University Of Florida
item EWERT, FRANK - University Of Bonn
item CAMMARANO, DAVIDE - University Of Florida
item MAIORANO, ANDREA - Institut National De La Recherche Agronomique (INRA)
item AGGARWAL, PRAMOD - International Maize & Wheat Improvement Center (CIMMYT)
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, GLACOMO - European Food Safety Authority
item DOLTRA, JORDI - Center For Agricultural Research And Training, Cantabria Government (CIFA)
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 - Washington State University
item HUNT, LESLIE - University Of Guelph
item IZAURRALDE, ROBERTO - University Of Maryland
item JABLOUN, MOHAMED - Aarhus University
item JONES, CURTIS - University Of Maryland
item KASSIE, BELAY - University Of Florida
item KERSEBAUM, KURT - Institute Of Landscape Systems Analysis, Leibniz Centre For Agricultural Landscape Research
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 - Institute Of Landscape Systems Analysis, Leibniz Centre For Agricultural Landscape Research
item O'LEARY, GARRY - Department Of Environment And Climate Change
item OLESEN, JORGEN - Aarhus University
item PALOSUO, TARU - Natural Resources Institute Finland (LUKE)
item PRIESACK, ECKART - German Research Center For Environmental Health
item REZAEI, EHSAN - University Of Bonn
item RIPOCHE, DOMINIQUE - Institut National De La Recherche Agronomique (INRA)
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 And Research Center
item TAO, FULU - Natural Resources Institute Finland (LUKE)
item THORBURN, PETER - Commonwealth Scientific And Industrial Research Organisation (CSIRO)
item WAHA, KATHARINA - Potsdam Institute
item WANG, ENLI - Commonwealth Scientific And Industrial Research Organisation (CSIRO)
item WOLF, JOOST - Wageningen University And Research Center
item ZHAO, ZHIGAN - Commonwealth Scientific And Industrial Research Organisation (CSIRO)
item ZHU, YAN - Nanjing Agricultural University

Submitted to: Open Data Journal for Agricultural Research
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 12/2/2017
Publication Date: 2/12/2018
Citation: Matre, P., Kimball, B.A., Ottman, M.J., Wall, G.W., White, J.W., Asseng, S., Ewert, F., Cammarano, D., Maiorano, A., 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., Jabloun, M., Jones, C.D., Kassie, B.T., Kersebaum, K.C., Koehler, A., Muller, C., Kumar, S.N., Liu, B., Lobell, D.B., 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., Stratonovitch, P., Streck, T., Supit, I., Tao, F., Thorburn, P., Waha, K., Wang, E., Wolf, J., Zhao, Z., Zhu, Y. 2018. The Hot Serial Cereal Experiment for modeling wheat response to temperature: field experiments and AgMIP-Wheat multi-model simulations. Open Data Journal for Agricultural Research. 4:28-34.

Interpretive Summary: Wheat growth models are useful tools for assessing the likely effects of climate change on future productivity, but they generally have not been tested at the higher temperatures expected in the future. In order to obtain data suitable for testing these models, a “Hot Serial Cereal” experiment was conducted – “Cereal” because it was on wheat, “Serial” because the wheat was planted serially approximately every six weeks for two years, and “Hot” because on three of the planting dates each year, infrared heaters were deployed above the crop to warm it by 1.5°C (2.7°F) during daytime and 3.0°C (5.4°F) at night. The results showed a large range of wheat response from to zero to normal yields depending on season and temperature. Thus, an excellent dataset was obtained suitable for testing wheat models over the whole range of temperatures at which wheat can grow. Subsequently, a major inter-comparison study was done among 30 wheat growth models, and the results of their simulations are also included. The median among the models proved to be a better predictor of wheat response than any one model. This research will benefit all consumers of wheat-based food, including meat from animals that are fed wheat.

Technical Abstract: The data set reported here includes the part of a Hot Serial Cereal Experiment (HSC) experiment recently used in the AgMIP-Wheat project to analyze the uncertainty of 30 wheat models and quantify their response to temperature. The HSC experiment was conducted in an open-field in a semiarid environment in the southwest USA. The data reported herewith include one hard red spring wheat cultivar (Yecora Rojo) sown approximately every six weeks from December to August for a two-year period for a total of 11 planting dates out of the 15 of the entire HSC experiment. The treatments were chosen to avoid any effect of frost on grain yields. On late fall, winter and early spring plantings temperature free-air controlled enhancement (T-FACE) apparatus utilizing infrared heaters with supplemental irrigation were used to increase air temperature by 1.3°C/2.7°C (day/night) with conditions equivalent to raising air temperature at constant relative humidity (i.e. as expected with global warming) during the whole crop growth cycle. Experimental data include local daily weather data, soil characteristics and initial conditions, detailed crop measurements taken at three growth stages during the growth cycle, and cultivar information. Simulations include both daily in-season and end-of-season results from 30 wheat models.