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| 田间不同施肥处理大豆生长过程模拟验证研究 | |
| 引用本文： | 赵军,商磊,王毅博,宁海龙,韩晓增,杨靖一.田间不同施肥处理大豆生长过程模拟验证研究[J].大豆科学,2008,27(1):86-91. |
| 作者姓名： | 赵军 商磊 王毅博 宁海龙 韩晓增 杨靖一 |
| 作者单位： | 1. 中国科学院东北地理与农业生态研究所,黑龙江哈尔滨,150081 2. 黑龙江八一农垦大学,黑龙江大庆,163319 3. 黑龙江大学,黑龙江哈尔滨,150080 4. 大豆生物学教育部重点实验室,黑龙江哈尔滨,150030 5. Agriculture and Agricultural Food Canada,Creenhousc Processing and Crop Research Centre,Harrow,Ontario,NOR 1G0,Canada |
| 基金项目： | 科技部科技基础条件平台建设计划，王宽诚教育基金 |
| 摘 要： | 大豆是东北的主要农作物之一,准确地应用模型技术可以辅助田间试验来研究如何提高和改善大豆产量和品质.利用CSM-CROPGRO-Soybean模型,在海伦农业生态站1993～1996年长期定位不同施肥处理实验数据的基础上,建立大豆品种遗传属性和相应数据库,对大豆产量和物候期等重要生长过程和结果进行模拟和验证.结果表明,在对4年不同施肥处理的模拟中,大豆物候期的模拟RMSE为0.58 d,EF为0.92.大豆产量模拟RMSE为101.6 kg hm-2,EF为0.7,取得了较好的模拟效果.模型的方法可以为大豆优化种植提供有效的信息技术手段. |
| 关 键 词： | 作物生长模型 大豆品种 遗传属性 |
| 收稿时间： | 2007-11-02 |
| 修稿时间： | 2007-12-11 |
Simulation of Soybean Growth with Different Fertilizer Treatments in Northeast China |
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| ZHAO Jun,SHANG Lei,WANG Yi-bo,NING Hai-long,HAN Xiao-zeng,YANG Jing-yi.Simulation of Soybean Growth with Different Fertilizer Treatments in Northeast China[J].Soybean Science,2008,27(1):86-91. | |
| Authors: | ZHAO Jun SHANG Lei WANG Yi-bo NING Hai-long HAN Xiao-zeng YANG Jing-yi |
| Abstract: | Soybean is one of the most important crops in the Northeast of China. The efficient use of crop simulation models is an effective complement to experimental research for improving soybean productivity. The objectives of this study were to evaluate the Cropping System Model CSM-CROPGRO-Soybean for its ability to simulate phenology,grain yield and biomass with different fertilizer treatments in 1993-1996 year at Hailun Ago-Ecological Experimental Station. And a soybean model database included genetic characteristics of variety, soil,weather and field managements was established for the model performance. The evaluation of the CSM-CROPGRO-Soybean showed that the model was able to simulate the phenology and grain yield and so on with different treatments accurately,with RMSE equals 0.58 and EF equals 0.92 for phenology,and RMSE equals 101.6 kg ha^-1 and EF equals 0.70 for soybean yield. These results are promising for farmers and decision makers ,as they could have access to accurate yield forecasts prior to final harvest. However,to be able to make practical decisions for soybean productivity and quality ,it is necessary to further tested and developed with long-term experimental practices. |
| Keywords: | CSM-CROPGRO-Soybean |
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