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《Journal of Anhui Agricultural Sciences》 2010-06
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Optimization and Validation of Genetic Parameters of Maize Based on CERES-Maize Model

FAN Ming-feng et al (College of Resources and Environment,Southwest University,Chongqing 400716)  
Based on maize growth data,weather data,soil information and field management information,using CERES-Maize model,uniform design was used to conduct numerical simulation and the method of regression analysis was used to analyze simulation results.According to the simulation or optimization results,the best genetic parameters were selected.Through comparing simulated value of the production of corn and grains per square meter during growth period with measured value of those,the results demonstrated that the simulated value of the model and observed value fit each other very well in general.
【Fund】: 西南大学资源环境学院项目
【CateGory Index】: S513
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