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ISHS Acta Horticulturae 417: International Symposium on Greenhouse Crop Models

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

Authors:   G. Matitschka, H.-P. Liebig
Abstract:
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.

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