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Fulu Tao

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Fulu Tao
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Fulu Tao
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0000-0001-8574-0080

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2017 - 201912020 - 20234
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Now showing 1 - 5 of 5
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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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    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.
    Publication
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    Variations in phenological, physiological, plant architectural and yield-related traits, their associations with grain yield and genetic basis
    (Oxford University Press, 2023) Yibo Li; Fulu Tao; Yuanfeng Hao; Jingyang Tong; Yonggui Xiao; He Zhonghu; Reynolds, M.P.
    Publication
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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.
    Publication