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Sghaier, Abderrahman and Ouessar, Mohamed Photosynthetical activity modelization of olive trees growing under drought conditions Poster Downloadable
Abderrahman Sghaier1, Jari Perttunen2, Risto Sievänen2, Dalenda Boujnah3, Mohamed Ouessar1, Rayda Ben Ayed4 and Kamel Naggaz1
(1) Arid Regions Institute (IRA), 4119 Médenine, Tunisia.(2) c. Finnish Forest Research Institute, Vantaa Research Station, P.O. Box 18, 01301 Vantaa, Finland(3) Laboratory for Productivity Improvement of the Olive Tree and Quality of Products, Institute of the Olive Tree, Specialized Unit of Sousse, Tunisia. Address: B.P. 14, 4061 Sousse, Tunisia.(4) Laboratory of Molecular and Cellular Screening Processes, Center of Biotechnology of Sfax, Tunisia. Address: B.P 1177 Sfax 3018 Tunisia.

Predicting photosynthetic production in olive trees is a key feature in managing the effect of climate change on arid areas. Functional-structural plant modeling is a promising tool for achieving this goal. We used aphotosynthetic sub-model that accounted for water and temperature stress and implemented it into LIGNUM model. We then conducted an experiment to validate the model at the leaf level using olive trees (Olea europaea) grown under various climatic condition. Then, we simulated photosynthetic production of three static olive tree models aged 1, 2, and 3 years. Results revealed a good fit between observed and predicted photosynthesis, with coefficient of determination (R$^2$) values of 0.94 and 0.93 for Chemlali and Zarrazi cultivars, respectively. These results showed that the impact of water stress on photosynthetic production was marginal.