How well do crop modeling groups predict wheat phenology, given calibration data from the target population?
2021 | journal article; research paper
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How well do crop modeling groups predict wheat phenology, given calibration data from the target population?
Wallach, D.; Palosuo, T.; Thorburn, P.; Gourdain, E.; Asseng, S.; Basso, B. & Buis, S. et al. (2021)
European Journal of Agronomy, 124 pp. 126195. DOI: https://doi.org/10.1016/j.eja.2020.126195
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Details
- Authors
- Wallach, Daniel; Palosuo, Taru; Thorburn, Peter; Gourdain, Emmanuelle; Asseng, Senthold; Basso, Bruno; Buis, Samuel; Crout, Neil; Dibari, Camilla; Dumont, Benjamin; Ferrise, Roberto; Gaiser, Thomas; Garcia, Cécile; Gayler, Sebastian; Ghahramani, Afshin; Hochman, Zvi; Hoek, Steven; Hoogenboom, Gerrit; Horan, Heidi; Huang, Mingxia; Jabloun, Mohamed; Jing, Qi; Justes, Eric; Kersebaum, Kurt Christian; Klosterhalfen, Anne ; Launay, Marie; Luo, Qunying; Maestrini, Bernardo; Mielenz, Henrike; Moriondo, Marco; Nariman Zadeh, Hasti; Olesen, Jørgen Eivind; Poyda, Arne; Priesack, Eckart; Pullens, Johannes Wilhelmus Maria; Qian, Budong; Schütze, Niels; Shelia, Vakhtang; Souissi, Amir; Specka, Xenia; Srivastava, Amit Kumar; Stella, Tommaso; Streck, Thilo; Trombi, Giacomo; Wallor, Evelyn; Wang, Jing; Weber, Tobias K.D.; Weihermüller, Lutz; de Wit, Allard; Wöhling, Thomas; Xiao, Liujun; Zhao, Chuang; Zhu, Yan; Seidel, Sabine J.
- Issue Date
- 2021
- Journal
- European Journal of Agronomy
- ISSN
- 1161-0301
- Language
- English
