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《Scientia Agricultura Sinica》 2005-01
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A Knowledge Model for Design of Suitable Dynamics of Growth Index in Rice

YAN Ding-chun1,2, ZHU Yan1, CAO Wei-xing1, WANG Shao-hua1 (1 Hi-tech Key Laboratory of Information Agriculture, Jiangsu Province/Key Laboratory of Crop Growth Regulation, Ministry of Agriculture, Nanjing Agricultural University, Nanjing 210095; 2Agricultural Information Institute of Chinese Academy of Agricultural Scicences, Beijing 100081 )  
Based on the analysis of the quantitative relationships of rice growth dynamics to varietal traits, eco-environments and planting measures, a universal knowledge model for rice was developed, which was driven by physiological development time-based cumulative temperature. The model can be used to predict the time-course dynamics of growth indices including population stem and tiller number, leaf area index and dry matter accumulation for growth guideline and diagnosis with different varieties, eco-environments and planting measures. Case studies with the data sets of normal climatic year and different variety types at different eco-sites indicated a good performance of the model system for prediction with the RMSE=5.0 for the simulated and observed population density, r=0.85** for the simulated and observed growth indices.
【Fund】: 国家自然科学基金重点资助项目(30030090);; 国家“863”计划资助项目(2003AA209030 2004AA115190) 
【CateGory Index】: S511
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