ISHS Acta Horticulturae 718: III International Symposium on Models for Plant Growth, Environmental Control and Farm Management in Protected Cultivation (HortiModel 2006)
A SIMPLE PHENOLOGICAL AND POTENTIAL PRODUCTION MODEL FOR CAPE GOOSEBERRY (PHYSALIS PERUVIANA L.) |
| Authors: | M.R. Salazar, J.W. Jones, B. Chaves-Cordoba, A. Cooman |
| Keywords: | simulation, dry matter partition, phenology, thermal time, base temperature, leaf area index |
| Abstract:
Cape gooseberry (Physalis peruviana L.) is grown in the high altitude tropics of Colombia and is the second most important export fruit. The aim was to construct a simple potential production model for crop growth, development and yield. The model is based on temperature and photosynthetically active radiation (PAR) and assumes that soil water and nutrients are unlimited and there is no damage by either pests or diseases. The phenology component estimates node numbers and reproductive events based on thermal time. Daily increment in dry matter depends on incoming PAR, the fraction of light intercepted and a dry matter conversion efficiency. Daily dry matter growth is partitioned among the plant organs according to plant phenological stage. Light use efficiency, light extinction coefficient and dry matter partitioning coefficients were parameters in the growth component. To develop the model an experiment was conducted in two different locations in Colombia, under greenhouse and open field conditions at each location. For nodes and all reproductive stages base temperatures were estimated. Base temperature (Tb) for nodes appearance was 6.3°C, for first bud 10.8°C, for time from first bud to flower 5.6°C, for time from first flower to first fruit 10.5°C and for time from first fruit to mature fruit 1.9°C. The partitioning coefficients estimates were 0.72 for leaves and 0.28 for stems during the vegetative stage, and were 0.09 for leaves, 0.22 for stems, and 0.69 for fruit during reproductive stage. Light use efficiency for vegetative (0.46 g MJ-1) and reproductive (2.62 g MJ-1) stages were estimated. In accordance with the relationship between observed and simulated values of number of nodes, total dry matter production and partitioning this model fit reasonably well for each locality and environment. | |
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