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, μmol 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.
Sciortino M., Mimmo T., Vitali G., Gianquinto G., Aaslyng J.M. (2008). Application of a Photosynthesis Model to Optimize Greenhouse Climate Management. LEUVEN : ISHS [10.17660/ActaHortic.2008.801.123].
Application of a Photosynthesis Model to Optimize Greenhouse Climate Management
SCIORTINO, MARCO;VITALI, GIULIANO;PROSDOCIMI GIANQUINTO, GIORGIO;
2008
Abstract
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, μmol 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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
