The objectives of this study were to develop Rapeseed Cultivation Simulation-Optimization-Decision Making System (Rape-CSODS), and validate it in order to design rapeseed planting, regulate and control its growth and de-velopment, and fulfill its high yield, good quality, high benefits, and standard production eventually. The models in Rape-CSODS were developed based on field experiments with 3 cultivars, 2 plant types, 6 sowing dates, and 4 sites from 2002 to 2008 in the middle and lower valley of Yangtze river in China and rela-tive data from references of rapeseed research, employed ideas of R/WCSODS (Rice/Wheat Cultivation Simulation-Optimization-Decision Making System), then Rape-CSODS were developed through integrating rapeseed growth models, optimization models, and expert knowledge. In that the rapeseed growth models mainly included phenophase, leaf age, population dynamic, and organ forming etc., and the optimization models for rapeseed cultivation mainly included the optimum biomass, the optimum LAI, the optimum shoot and ramification num-ber dynamics models, and the optimum decision making models for nitrogen and water etc. As a case, the system has been applied in Shandong Province in this study, and the results showed that the scheme get by this systems can increase green leaf number before overwinter, 1.1; 1000-weight, 0.2g; and rapeseed yield, 676.5 kg ha1 at mature, comparing with rapeseed production in the same conditions. The Rape-CSODS with general adaptability, clear yield aim, better mechanism, and dynamic characteristic can get the optimum management sheet pre-planting, microadjustment sheet during growth for rapeseed under different climates, soil, cultivars, and yielding levels.
Rapeseed Cultivation Growth Models Optimization Models Decision Making System Research and Applicatioa
Hongxin Cao Juanuan Zhu Jinying Sun Yan Liu Yongxia Liu Xiufang Wei Chunlei Zhang Baojun Zhang Suolao Zhao Daokuo Ge Baoqing Wang Chuanbao Zhu David B. Hannaway Dawei Zhu
Institute of Agricultural Resources and Environment Research/Engineering Research Center for Digital Northwest Sci-Tech University of Agriculture and Forestry, Yangling 712100, Shaanxi, China Agricultural Technological Extensive Station of Luntai County, Luntai,841600, Xinjiang, P.R. China Institute of Oil Crops Research, Chinese Academy of Agricultural Sciences,Wuhan 430062, Hubei Liaocheng Municipal Agric Technology Extension Station, Liaocheng, Shandong 252500 College of Agricultural Sciences, Oregon State University, Corvallis, Oregon 97331, USA