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Predicting the successful flowering time strategies of future climates using life history theory and molecular genetics

The aim for this project was to predict how plants will adapt their flowering times to climatic changes.
Specifically we have:
• enhanced life-history theory for plants by taking into account temperature and daylength as cues to control flowering times in seasonal environments.
• validated the theory in growth experiments at different latitudes with five lines of barley differing genetically in their use of these cues.
• tested the predictions using four plant species which include rare or invasive taxa. Our long-term vision is a genetically informed life-history theory that can be applied in climate adaptation and mitigation, e.g. to;
• predict outcomes of assisted colonization of threatened species by identifying regions where they may thrive, become invasive or face unsuitable climates.
• assist crop plant breeding or selection among existing cultivars by predicting which flowering time strategies will maximize yields in different regions.
• help to understand adaptations of invasive species, which are often phenologically distinct and may have range limits caused by daylength requirements.