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ISHS Acta Horticulturae 718: III International Symposium on Models for Plant Growth, Environmental Control and Farm Management in Protected Cultivation (HortiModel 2006)

A SIMPLE MODEL FOR PREDICTION OF BIOMASS PRODUCTION AND YIELD OF THREE GREENHOUSE CROPS

Authors:   J. Dai, W. Luo, Y. Li, C. Yuan, Y. Chen, J. Ni
Keywords:   thermal time, PAR, muskmelon, cucumber, tomato, dry matter partitioning, yield
Abstract:
The aim of this study is to develop a simple model for biomass production and yield prediction by integrating a generic crop biomass production model and a temperature and Photosynthetically Active Radiation (PAR) based leaf area and dry matter (DM) partitioning model. Experiments on muskmelon (Cucumis melo L. var. reticulatus Naud.), tomato (Lycopersicon esculentum Mill.), and cucumber (Cucumis sativus) with different varieties, substrates, sowing dates and locations were conducted in greenhouses in Nanjing and Shanghai during 2002-2005 to collect data to develop and validate the model. The relationships of accumulated Product of normalized Thermal Time and PAR (PTTP) to DM partitioning ratio and harvest ratio were determined based on the experimental data of the three crops. Independent experimental data were used to validate the model. The results show that the model gives satisfactory predictions of canopy biomass production and fruit yield of the three greenhouse crops. The relative prediction errors for accumulated harvested yield are 18%, 18% and 25%, respectively, for muskmelon, tomato and cucumber. The model developed in this study can predict biomass production and fruit yield of the three greenhouse crops using solar radiation above the crop canopy, the air temperature inside greenhouse, crop sowing date, planting density, the minimum, maximum, and optimum temperature for crop growth.

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