DEVELOPMENT OF SUMMARY MODELS FROM SUCROS (SIMPLE AND UNIVERSAL CROP GROWTH SIMULATOR) BY REGRESSION ANALYSIS – ESTIMATION OF GROSSPHOTOSYNTHESIS –

For on-line optimization of climate control in greenhouse production simple growth models are needed.
Grossphotosynthesis was chosen as a suitable criterion.
The purpose of this study was to develop a summary model from KORASIM a SUCROS version for kohlrabi.
One question was wether experiments may be (partly) replaced by growth models.

Development of the summary model Meta-KORASIM was done in 4 steps:

• grossphotosynthesis data for different levels of temperature, CO₂ and radiation were generated by KORASIM

• a response surface equation (product model) was fitted to the data

• from residual analysis no important systematic effects were found

• model validation resulted in highly correlated values for simulated daily grossphotosynthesis and fresh- weight at harvest time predicted by KORASIM and Meta-KORASIM

With regression analysis a suitable way exists to simplify complex growth models.
Thus models may replace experiments.
To use this potential better further improvements of the basic models are essential.

International Symposium on Greenhouse Crop Models

G. Matitschka, H.-P. Liebig

https://doi.org/10.17660/ActaHortic.1996.417.14