Study On Growth Simulation Model Of Salvia Miltiorrhiza Bunge

Crop simulation model could be used in studying the growth of crops and its response to environment and management measure, and also could provide simple decision for researchers and the extension service. In order to establish the growth model of Salvia miltiorrhiza Bunge, field experiments under different planting times and cultivation methods have been done to simulate growth of Salvia miltiorrhiza Bunge on the base of the predecessors’research production about crop simulation model. This paper is comprised of5respects. The contents as follows:The relations between seedling index and seedling quantitative characters of Salvia miltiorrhiza Bunge have been studied. The results show that:stem diameter, root diameter, root dry matter, crown dry matter, plant dry matter, leaf area and crown matter appear positively related with other characters and can be used as seedling index. Combining with correlation degree analysis the seedling index which is suitable to seedling of Salvia miltiorrhiza is conformed:(stem diameter/root diameter+root dry matter/crown dry matter) plant dry matter. The result of correlation coefficient between seedling quantitative characters and seedling index of Salvia miltiorrhiza Bunge is similar to correlation degree analysis, but not completely the same. It was concluded that root dry matter, crown dry matter and plant dry matter are correlated with the seedling index more, stem diameter and root diameter less.:A seedling index model was built which was driven by accumulated daily range of temperature, accumulated radiation and accumulated air humidity, the model is:The result after validating the model shows that the value of RMSE in model of seedling index is0.1472. The model developed obtains good predictive effect.A main stem leaf age model was built on the base of Rice clock leaf age model. The model is: The result after validating the model shows that the values of RMSE between simulated and actual values are small; the model could predict the leaf age development process of Salvia miltiorrhiza Bunge precisely.A dynamic leaf area index model of Salvia miltiorrhiza Bunge is established based on the revised Logistic model, which is driven by normalized accumulated temperature with the consideration of invalidity growth of Salvia miltiorrhiza Bunge affected by a higher or lower temperature. The fitting equation is: The result after validating the model shows that the model could simulate the dynamic changes of leaf area of Salvia miltiorrhiza Bunge precisely. The accumulated temperature T1in the stage of LAI reaching to the maximum is1855.3083℃/d, the accumulated temperature T2in the stage of LAI decreasing is162.0694℃/d. The maximum value of LAI in the condition of testl is12.45.According to the growth and development characteristics of Salvia miltiorrhiza Bunge, analyzed the dynamic changes of partitioning indices of Salvia miltiorrhiza Bunge with the days after seedling, established a dynamic simulation model of Salvia miltiorrhiza Bunge dry matter distribution which was based on partitioning index. In the model the product of thermal effectiveness and PAR (TEP) is used to quantify the effect made by temperature and radiation to dry matter distributionThe model of shoot and root partitioning index is:The model of partitioning index of different organs of shoot is: The model built in this study is more accurate for dry matter partitioning prediction of shoot, root, leaf, and stem. But for flower dry matter forecast, the error compares greatly.