Abstract
Greenhouse climate control has developed very quickly in the past decades, and at present also advanced model based decision support systems are being introduced in commercial production. The experiment was carried out in a commercial pot rose greenhouse from the late winter to the early spring (01.01.2003-07.04.2003) in Odense, Denmark. The data set (light intensity, CO2 concentration and temperature) was used for the determination of net simulated leaf photosynthesis (LsimPhot, pmol m-2 s-1) and potential maximum leaf photosynthesis (LMAX,sim, Phot, μmol m-2 s-1). The present study show how a photosynthesis model can help to diagnose greenhouse management problems in terms of choice of climate strategy.