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Ewert, F.

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Ewert
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Ewert, F.
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0000-0002-4392-8154

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Now showing 1 - 6 of 6
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    A high-yielding traits experiment for modeling potential production of wheat: field experiments and AgMIP-Wheat multi-model simulations
    (Wageningen Academic Publishers, 2023) Guarin, J.R.; Martre, P.; Ewert, F.; Webber, H.; Dueri, S.; Calderini, D.; Reynolds, M.P.; Molero, G.; Miralles, D.; Garcia, G.; Slafer, G.; Giunta, F.; Pequeno, D.N.L.; Stella, T.; Mukhtar Ahmed; Alderman, P.D.; Basso, B.; Berger, A.G.; Bindi, M.; Bracho-Mujica, G.; Cammarano, D.; Yi Chen; Dumont, B.; Rezaei, E.E.; Fereres, E.; Ferrise, R.; Gaiser, T.; Yujing Gao; Garcia-Vila, M.; Gayler, S.; Hochman, Z.; Hoogenboom, G.; Hunt, L.A.; Kersebaum, K.C.; Nendel, C.; Olesen, J.E.; Palosuo, T.; Priesack, E.; Pullens, J.W.M.; Rodríguez, A.; Rötter, R.P.; Ruiz Ramos, M.; Semenov, M.A.; Senapati, N.; Siebert, S.; Srivastava, A.K.; Stockle, C.; Supit, I.; Fulu Tao; Thorburn, P.J.; Wang, E.; Weber, T.K.D.; Liujun Xiao; Zhao Zhang; Chuang Zhao; Jin Zhao; Zhigan Zhao; Yan Zhu; Asseng, S.
    Publication
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    Wheat crop traits conferring high yield potential may also improve yield stability under climate change
    (Oxford University Press, 2023) Stella, T.; Webber, H.; Rezaei, E.E.; Asseng, S.; Martre, P.; Dueri, S.; Guarin, J.R.; Pequeno, D.N.L.; Calderini, D.; Reynolds, M.P.; Molero, G.; Miralles, D.; Garcia, G.; Slafer, G.; Giunta, F.; Kim, Y.U.; Chenzhi Wang; Ruane, A.C.; Ewert, F.
    Publication
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    Simulation of winter wheat response to variable sowing dates and densities in a high-yielding environment
    (Oxford University Press, 2022) Dueri, S.; Brown, H.; Asseng, S.; Ewert, F.; Webber, H.; George, M.; Craigie, R.; Guarin, J.R.; Pequeno, D.N.L.; Stella, T.; Mukhtar Ahmed; Alderman, P.D.; Basso, B.; Berger, A.G.; Bracho-Mujica, G.; Cammarano, D.; Yi Chen; Dumont, B.; Rezaei, E.E.; Fereres, E.; Ferrise, R.; Gaiser, T.; Yujing Gao; Garcia-Vila, M.; Gayler, S.; Hochman, Z.; Hoogenboom, G.; Kersebaum, K.C.; Nendel, C.; Olesen, J.E.; Padovan, G.; Palosuo, T.; Priesack, E.; Pullens, J.W.M.; Rodríguez, A.; Rötter, R.P.; Ruiz Ramos, M.; Semenov, M.A.; Senapati, N.; Siebert, S.; Srivastava, A.K.; Stockle, C.; Supit, I.; Fulu Tao; Thorburn, P.J.; Wang, E.; Weber, T.K.D.; Liujun Xiao; Chuang Zhao; Jin Zhao; Zhigan Zhao; Yan Zhu; Martre, P.
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    Evidence for increasing global wheat yield potential
    (IOP Publishing, 2022) Guarin, J.R.; Martre, P.; Ewert, F.; Webber, H.; Dueri, S.; Calderini, D.; Reynolds, M.P.; Molero, G.; Miralles, D.; Garcia, G.; Slafer, G.; Giunta, F.; Pequeno, D.N.L.; Stella, T.; Mukhtar Ahmed; Alderman, P.D.; Basso, B.; Berger, A.G.; Bindi, M.; Bracho-Mujica, G.; Cammarano, D.; Yi Chen; Dumont, B.; Rezaei, E.E.; Fereres, E.; Ferrise, R.; Gaiser, T.; Yujing Gao; Garcia-Vila, M.; Gayler, S.; Hochman, Z.; Hoogenboom, G.; Hunt, L.A.; Kersebaum, K.C.; Nendel, C.; Olesen, J.E.; Palosuo, T.; Priesack, E.; Pullens, J.W.M.; Rodríguez, A.; Rötter, R.P.; Ruiz Ramos, M.; Semenov, M.A.; Senapati, N.; Siebert, S.; Srivastava, A.K.; Stöckle, C.; Supit, I.; Fulu Tao; Thorburn, P.J.; Wang, E.; Weber, T.K.D.; Liujun Xiao; Zhao Zhang; Chuang Zhao; Zhao, J.; Zhigan Zhao; Yan Zhu; Asseng, S.
    Publication
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    The international heat stress genotype experiment for modeling wheat response to heat: field experiments and AgMIP-Wheat multi-model simulations
    (Wageningen University and Research, 2017) Martre, P.; Reynolds, M.P.; 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.; Sanctis, G. de; Doltra, J.; Dumont, B.; Fereres, E.; Garcia-Vila, M.; Gayler, S.; Hoogenboom, G.; Hunt, L.A.; Izaurralde, R.C.; Jabloun, M.; Jones, C.; Kassie, B.T.; Kersebaum, K.C.; Koehler, A.K.; Muller, C.; Soora Naresh Kumar; Bing Liu; Lobell, D.B.; Nendel, C.; O'Leary, G.J.; Olesen, J.E.; Palosuo, T.; Priesack, E.; Eyshi Rezaei, E.; Ripoche, D.; Rötter, R.P.; Semenov, M.A.; Stöckle, C.; Stratonovitch, P.; Streck, T.; Supit, I.; Fulu Tao; Thorburn, P.J.; Waha, K.; Wang, E.; White, J.W.; Wolf, J.; Zhigan Zhao; Yan Zhu
    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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    Proceedings of the Workshop on Modeling Wheat Response to High Temperature; El Batan, Texcoco, Mexico; 19-21 Jun 2013
    (CIMMYT, 2013) Alderman, P.D.; Quilligan, E.; Asseng, S.; Ewert, F.; Reynolds, M.P.
    The abstracts here in are of presentations by experts participating in the workshop “Modeling Wheat Response to High Temperature”. Sponsored by the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) and in collaboration with the University of Florida, University of Bonn, and the Agricultural Model Intercomparison and Improvement Project (AgMIP).
    Publication