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Jul 26, 2023
Guarin, Jose Rafael; Martre, Pierre; Ewert, Frank; Webber, Heidi; Dueri, Sibylle; Calderini, Daniel; Reynolds, Matthew; Molero, Gemma; Miralles, Daniel; Garcia, Guillermo; Slafer, Gustavo; Giunta, Francesco; Pequeno, Diego N.L.; Stella, Tommaso; Ahmed, Mukhtar; Alderman, Phillip D.; Basso, Bruno; Berger, Andres G.; Bindi, Marco; Bracho Mujica, Gennady; Cammarano, Davide; Chen, Yi; Dumont, Benjamin; Eyshi Rezaei, Ehsan; Fereres, Elias; Ferrise, Roberto; Gaiser, Thomas; Gao, Yujing; Garcia-Vila, Margarita; Gayler, Sebastian; Hochman, Zvi; Hoogenboom, Gerrit; Hunt, Leslie A.; Kersebaum, Kurt C.; Nendel, Claas; Olesen, Jørgen E.; Palosuo, Taru; Priesack, Eckart; Pullens, Johannes W.M.; Rodríguez, Alfredo; Rötter, Reimund P.; Ruiz Ramos, Margarita; Semenov, Mikhail A.; Senapati, Nimai; Siebert, Stefan; Srivastava, Amit Kumar; Stöckle, Claudio; Supit, Iwan; Tao, Fulu; Thorburn, Peter; Wang, Enli; Weber, Tobias Karl David; Xiao, Liujun; Zhang, Zhao; Zhao, Chuang; Zhao, Jin; Zhao, Zhigan; Zhu, Yan; Asseng, Senthold, 2022, "Data from the AgMIP-Wheat high-yielding traits experiment for modeling potential production of wheat: field experiments and multi-model simulations", https://doi.org/10.7910/DVN/VKWKUP, Harvard Dataverse, V2
The dataset reported here was created to analyze the value of physiological traits identified by the International Wheat Yield Partnership (IWYP) to improve wheat potential in high-yielding environments. This dataset consists of 11 growing seasons at three high-yielding locations in Buenos Aires (Argentina), Ciudad Obregon (Mexico), and Valdivia (C... |