Crop yields are affected by unfavourable/extreme weather and climate events occurring during sensitive growth stages. Understanding the risks associated with these events is essential to adapt agro-management decisions and reduce losses. For this purpose, we propose a targeted climate service integrating a dynamic crop phenology model with an approach based on dedicated agro-climate risk indicators. The initial set of these indicators has been developed in a co-design approach with agronomists and durum wheat farmers participating as end-users in the H2020-MedGOLD project. Four groups of indicators characterize drought events, excessive wetness, cold stress and heat stress during sensitive growth stages. The proposed approach has been fully implemented as an R-package named Clisagri. The package is complemented with a set of optimization functions, which target optimal variety selection in terms of crop cycle duration.
CEGLAR Andrej;
TORETI Andrea;
ZAMPIERI Matteo;
MANSTRETTA Valentina;
BETTATI Tiziano;
BRATU Marian;
2021-03-01
Elsevier BV
JRC118717
2405-8807 (online),
https://www.sciencedirect.com/science/article/pii/S2405880720300492?via%3Dihub,
https://publications.jrc.ec.europa.eu/repository/handle/JRC118717,
10.1016/j.cliser.2020.100197 (online),
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