Author
MATRE, PIERRE - Institut National De La Recherche Agronomique (INRA) | |
Kimball, Bruce | |
OTTMAN, MICHAEL - University Of Arizona | |
Wall, Gerard - Gary | |
White, Jeffrey | |
ASSENG, SENTHOLD - University Of Florida | |
EWERT, FRANK - University Of Bonn | |
CAMMARANO, DAVIDE - University Of Florida | |
MAIORANO, ANDREA - Institut National De La Recherche Agronomique (INRA) | |
AGGARWAL, PRAMOD - International Maize & Wheat Improvement Center (CIMMYT) | |
ANOTHAI, JAKARAT - Washington State University | |
BASSO, BRUNO - Michigan State University | |
BIERNATH, CHRISTIAN - German Research Center For Environmental Health | |
CHALLINOR, ANDREW - University Of Leeds | |
DE SANCTIS, GLACOMO - European Food Safety Authority | |
DOLTRA, JORDI - Center For Agricultural Research And Training, Cantabria Government (CIFA) | |
DUMONT, BENJAMIN - Michigan State University | |
FERERES, ELIAS - Universidad De Cordoba | |
GARCIA-VILA, MARGARITA - Universidad De Cordoba | |
GAYLER, SEBASTIAN - University Of Hohenheim | |
HOOGENBOOM, GERRIT - Washington State University | |
HUNT, LESLIE - University Of Guelph | |
IZAURRALDE, ROBERTO - University Of Maryland | |
JABLOUN, MOHAMED - Aarhus University | |
JONES, CURTIS - University Of Maryland | |
KASSIE, BELAY - University Of Florida | |
KERSEBAUM, KURT - Institute Of Landscape Systems Analysis, Leibniz Centre For Agricultural Landscape Research | |
KOEHLER, ANN-KRISTIN - University Of Leeds | |
MULLER, CHRISTOPH - Potsdam Institute | |
KUMAR, SOORA - Indian Agricultural Research Institute | |
LIU, BING - Nanjing Agricultural University | |
LOBELL, DAVID - Stanford University | |
NENDEL, CLAAS - Institute Of Landscape Systems Analysis, Leibniz Centre For Agricultural Landscape Research | |
O'LEARY, GARRY - Department Of Environment And Climate Change | |
OLESEN, JORGEN - Aarhus University | |
PALOSUO, TARU - Natural Resources Institute Finland (LUKE) | |
PRIESACK, ECKART - German Research Center For Environmental Health | |
REZAEI, EHSAN - University Of Bonn | |
RIPOCHE, DOMINIQUE - Institut National De La Recherche Agronomique (INRA) | |
ROTTER, REIMUND - Natural Resources Institute Finland (LUKE) | |
SEMENOV, MIKHAIL - Rothamsted Research | |
STOCKLE, CLAUDIO - Washington State University | |
STRATONOVITCH, PIERRE - Rothamsted Research | |
STRECK, THILO - University Of Hohenheim | |
SUPIT, IWAN - Wageningen University And Research Center | |
TAO, FULU - Natural Resources Institute Finland (LUKE) | |
THORBURN, PETER - Commonwealth Scientific And Industrial Research Organisation (CSIRO) | |
WAHA, KATHARINA - Potsdam Institute | |
WANG, ENLI - Commonwealth Scientific And Industrial Research Organisation (CSIRO) | |
WOLF, JOOST - Wageningen University And Research Center | |
ZHAO, ZHIGAN - Commonwealth Scientific And Industrial Research Organisation (CSIRO) | |
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. |