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| Author: | A. Morisot |
Abstract:
In order to help growers and advisors to define schedules and sets of growing conditions, a predictive model was developed: 'PP.Rose', i.e. 'Potential Production of Roses'. It is an empirical model based on observed response functions.
The production is supposed to be linearly related to the energy intercepted by the rose canopy.
Temperature effects, supplementary lighting, CO2 enrichment, cultivars and locations are taken into account.
Harvesting dates and yields in relation to given quality grades are predicted.
Comparisons of predicted and measured parameters of the cut rose production are presented as a first step towards validating the model.
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