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

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

Year of publication

2021

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.

Publication type

Publication format

Article

Parent publication type

Journal

Audience

Scientific

Peer-reviewed

Peer-Reviewed

MINEDU's publication type classification code

A1

Publication channel information

Parent publication name

Parent publication editors

Conference

Publisher

Volume

124

Issue

Pages

10 p.

ISBN

​Publication forum

55673

​Publication forum level

3

Other information

Fields of science

Computer and information sciences; Agronomy

Open access

No

Publication country

undefined

Language

English

International co-publication

true

Co-publication with a company

true

Keywords

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