Simulating Of The Dynamic Development Of Tomato And Establishing Of Early Warning System

In the research, tomato was selected to be the studying material. Based on large numbers of data collected in the yielding greenhouse and shed, the development of tomato organ, accumulating and distributing of dry matter, early warning system were studied according to the crop's physiological ecology theory and the tomato's biological characteristics,which can provide tech-support for the refinement regulation of tomato growth and development.The main research contents are as follows:1 The development of tomato organs (plant height (H), the number of leaves (L), the rate of fruit set(F) and fruit volume(V)) and environmental elements (radiation, air temperature and soil temperature)were dynamic observed and analyzed with spring cultivation by using the indeterminate growth type tomato variety JinPeng F1. The relationship between the development of organ and climatic factors were analyzed by correlation coefficient and path coefficient analysis. The development of tomato organ was closely related to the radiation, air temperature and soil temperature, and it had a non-significant relation to air humidity. Air temperature is the most direct environmental factor that affecting the developing of tomato organ,2 Choosing the primary environmental factor that affected the developing of tomato organ, we established some organ growth prediction models respectively. The models include the plant height and accumulated photosynthetic radiation of weekly mean value,?the number of green leaves and accumulated effective temperature of weekly mean value, the rate of fruit set per plant and accumulated effective temperature of weekly mean value, the number of fruit per leaf area and accumulated effective temperature of weekly mean value .The models were validated by independent data, which showed a fine compliance between the simulated value and the measured value. Both the predicting accuracy and practicality of the models were fine.3 According to the crop's physiological ecology theory and the tomato's growing mechanism, models including the development of organ, trending of leaf area, accumulating and distributing of dry matter were established based on data including environmental data and that of crop. The models were validated by independent data, which showed a fine compliance between the simulated value and the measured value. Both the predicting accuracy and practicality of the models were fine.4 Based on the experiments all above and materials consulted in different ways, we established a knowledge base including the key three environmental factors (light, temperature, soil humidity) that affected the development of tomato. On the basis of which and computerized principle, we established the early warning system of the tomato developing. The early warning system worked well, and was able to assess the effect of normal and abnormal environmental factors on the development of tomato according to some history and real-time date, and make a continuous early warning to the abnormal ones, simultaneously give some managing advices as well.