Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

A new framework for predicting and understanding flowering time for crop breeding.

Autor: Deva, Chetan, Dixon, Laura, Urban, Milan, Ramirez‐Villegas, Julian, Droutsas, Ioannis, Challinor, Andrew

Publikováno v: Plants, People, Planet; Jan2024, Vol. 6 Issue 1, p197-209, 13p

New modelling methodology for improving crop model performance under stress conditions

Autor: Droutsas, Ioannis, Challinor, Andy, Arnold, Steve, Swiderski, Mikolaj, Semenov, Mikhail, Mikkelsen, Teis, Hansen, Emilie

Publikováno v: ICROPM2020: Second International Crop Modelling Symposium
ICROPM2020: Second International Crop Modelling Symposium , Feb 2020, Montpellier, France

International audience; Crop models exhibit large uncertainty in the quantification of risks imposed to food production by climate change (Asseng et al., 2013). A significant step towards reducing this uncertainty is to improve model structure (Tao e

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::80448c67d622283cf9af6eb348e466fe
https://hal.inria.fr/hal-02950252