ISHS Acta Horticulturae 766: XXVII International Horticultural Congress - IHC2006: International Symposium on Ornamentals, Now!
SIMULATION FOR YEAR-ROUND NUTRIENT UPTAKE OF GREENHOUSE ROSES OVER FLOWERING CYCLES |
| Authors: | Wan-Soon Kim, Mi-Young Roh, J.H. Lieth, N.S. Mattson |
| Keywords: | Michaelis-Menten function, model, root surface area, nutrient absorption |
| Abstract:
The biomass of rose (Rosa hybrida) plants changes constantly during cut flower production cycles. This cyclical nature of productivity poses a challenge to optimization of the nutrient supply to the plants. This study aimed to develop a simulation model for year-round nutrient uptake of roses, coupled with a whole-plant growth model based on light use efficiency (LUE). The study consisted of three activities: (A) modeling plant growth including root growth (whole-plant growth model), (B) synchronization of a whole-plant growth model and a nutrient uptake model, and (C) development of a simulation model for year-round nutrient uptake and plant growth of cut roses over flowering cycles. A "short-cut" shoot growth model for cut rose plants was developed based on LUE and designed to respond to light and air temperature. To determine changes in root growth over a flowering cycle, self-rooted single-node cuttings of ‘Kardinal’ rose were grown in air-bubbled Hoagland solution of EC 1.0. Root biomass and root surface area were simultaneously measured weekly with shoot growth, shoot biomass, and leaf area. Root growth of rose plants followed a cyclic rhythm related to shoot growth over the flowering cycle. Through the correlation of root and shoot growth, the modules needed for the whole-plant growth model, including the root part, were made. The nutrient uptake model was developed by estimating coefficients of Michaelis-Menten function. The dynamic simulation model for year-round nutrient uptake of roses was developed by coupling the whole-plant growth model and the nutrient uptake model using root surface area (RSA) as a coupler. This model successively reflected the dynamic changes in year-round nutrient uptake of six macronutrients according to verified light and air temperature condi¬tions. | |
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