ISHS Acta Horticulturae 424: II International Rose Symposium
'PP.ROSE': AN EMPIRICAL MODEL TO PREDICT THE POTENTIAL YIELD OF CUT ROSES |
| Author: | A. Morisot |
| Abstract:
Growers have commercial strategies which are built around specific selling periods or yield and quality characteristics for their production. A simulation model was developed in order to help them to define proper crop periods and adequate growing conditions, and to predict the potential yield for cut roses. It is based on 3 assumptions: yield is not limited by anything but light availability, radiation use efficiency is constant, and the effects of carbon storage are not taken into account. Data from longterm trials and literature were used to elaborate the empirical functions implemented in 'PP. Rose'. Inputs are the cultivar (3 available, 'First Red', 'Koba' and 'Sonia'), location (4 available, Brest, Helsinki, Naaldwijk and Nice), day of the year when the development starts, cropping system (flush or continuous), light characteristics including supplementary lighting, CO2 enrichment characteristics, temperature and the expected length of the flowering stems according to the commercial grading. Outputs are the duration of the development (computed from the starting day and the temperature) and the potential yields (stems.m-2) according to the 3 possible grades of the quality. | |
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