Abstract
Crop yields are affected by unfavourable/extreme weather and climate events occurring during sensitive growth stages. Understanding the risks associated with theseevents 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 aco-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 packageis complemented with a set of optimization functions, which target optimal variety selection in terms of crop cycle duration.
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