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玉米生长模型MCSODS对气候变化的适应性检验
引用本文:赵巧丽,郑国清. 玉米生长模型MCSODS对气候变化的适应性检验[J]. 玉米科学, 2012, 20(3): 148-152
作者姓名:赵巧丽  郑国清
作者单位:河南省农业科学院农业经济与信息研究中心,郑州,450002
基金项目:国家高技术研究发展计划(2007AA10Z23219)、河南省超级产粮大省奖励资金扶持农业科研项目[豫财贸(2011)140号]
摘    要:利用河南省温县多年玉米栽培数据资料对玉米生长模型MCSODS的系统参数进行调试,使品种模拟参数符合当地情况。采用秋常、秋凉、秋暖不同年型下典型年份的玉米栽培资料检验玉米生长模型对气候变化的适应性。结果显示,不同年型下生育期的模拟误差根均方差(RMSE)在秋常条件下为2.06,吻合度最高;秋凉、秋暖年RMSE分别为2.32和3.45。产量模拟误差RMSE为494.8 kg/hm2,模拟效果一致性较好。2006、2007年玉米田间实测数据对系统叶面积指数和地上生物量模拟的检验结果显示,郑单958和浚单20叶面积指数的RMSE分别为0.441 0和0.402 2,地上干物重RMSE分别为1 683.0 kg/hm2和898.5 kg/hm2,模拟结果良好。

关 键 词:玉米  MCSODS  气候变化  适应性
收稿时间:2011-10-12

Testing on the Adaptability of Maize Growth Model MCSODS to Climate Change
ZHAO Qiao-li and ZHENG Guo-qing. Testing on the Adaptability of Maize Growth Model MCSODS to Climate Change[J]. Journal of Maize Sciences, 2012, 20(3): 148-152
Authors:ZHAO Qiao-li and ZHENG Guo-qing
Affiliation:(Research Center of Agricultural Economy and Information, Henan Academy of Agricultural Sciences,Zhengzhou 450002,China)
Abstract:Taking Wenxian country of Henan province for example, the parameters of MCSODS were modified using local years maize cultivated data, then the adaptability of MCSODS for climate change was tested through maize cultivated data of different model years, normal autumn, cool autumn and warm autumn. The results indicated that for growth and development period, in normal autumn the simulation fitness was the best, RMSE=2.06, as in the warm autumn and cool autumn, RMSE were 2.32 and 3.45, respectively. The simulation error for yield under different model years RMSE=494.8 kg/ha, which indicated the better consistence. The test was done for LAI and aboveground biomass employing the measured maize data in 2006 and 2007. The results showed that RMSE for LAI of Zhengdan958 and Xundan20 were 0.441 0 and 0.402 2, respectively, for aboveground biomass was 1 683.0 kg/ha and 898.5 kg/ha, respectively, which was excellent. MCSODS could simulate maize growth and development and yield under different types of climate in Henan.
Keywords:Maize  MCSODS  Climate change  Adaptability
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