关键词: 模拟模型, 区域应用, 遗传参数, 升尺度

Abstract: In order to upscale the genetic parameters of CERESRice to satisfy the requirements in its regional applications, Jiangsu Province, the second largest rice producing province in China, was taken as an example. The province was divided into four rice regions for different varietal types and five to six sites in each region were selected. Then the eight genetic parameters of CERESRice，particularly the four parameters related to yield were modified and then validated using Trial and Error Method and based on the local statistical rice yield data at a county level from 2001 to 2004, combined with the regional experiments of rice varieties in the province as well as the local meteorological and soil data (Method 1). The simulated results of Method 1 were compared with that of the other three traditional methods upscaling the genetic parameters, i.e., using onesite experimental data of a local representative rice variety (Method 2), using local longterm rice yield data at a county level after deducting the trend yield due to progress of science and technology (Method 3) and using rice yield data at a super scale, such as provincial, ecological zone, country or continent levels (Method 4). The results showed that a good fitness efficiency was obtained by using the Method 1, its correlation coefficients between the simulated yields and the statistical yields were significant at 0.05 or 0.01 statistical levels and the RMSE (root mean squared error) values were less than 9％ for all the four rice regions, which were obviously better than those of the other three traditional methods. The method upscaling the genetic parameters of CERESRice presented is not only valuable for the impact studies of climate change, but also favorable to provide a methodology for reference in crop model applications to the other regional studies.

Key words: simulation model, regional application, genetic parameter, upscaling, rice