How well do crop modeling groups predict wheat phenology, given calibration data from the target population? Article

Wallach, Daniel, Palosuo, Taru, Thorburn, Peter et al. (2021). How well do crop modeling groups predict wheat phenology, given calibration data from the target population? . European Journal of Agronomy, 124 126195. 10.1016/j.eja.2020.126195

cited 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; Zadeh, Hasti Nariman; 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 KD; Weihermüller, Lutz; de Wit, Allard; Wöhling, Thomas; Xiao, Liujun; Zhao, Chuang; Zhu, Yan; Seidel, Sabine J

authors

publication date

  • March 1, 2021

published in

keywords

  • 30 Agricultural, Veterinary and Food Sciences
  • 3004 Crop and Pasture Production

Digital Object Identifier (DOI)

publisher

  • Elsevier

start page

  • 126195

volume

  • 124