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| Optimizing Parameters of CSM-CERES-Maize Model to Improve Simulation Performance of Maize Growth and Nitrogen Uptake in Northeast China |
| LIU Hai-long, YANG Jing-yi, HE Ping, BAI You-lu, JINJi-yun, Craig FDrury, ZHUYe-ping, YANG Xue-ming, LI Wen-juan, XIE Jia-gui, YANGJing-min, Gerrit Hoogen boom |
1.Agricultural Information Institute, Chinese Academy of Agricultural Sciences/Key Laboratory of Agri-Information Service Technology,
Ministry of Agriculture, Beijing 100081, P.R.China
2.Greenhouse and Processing Crops Research Centre, Agriculture & Agri-Food Canada, Ontario N0R 1G0, Canada
3.Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences/Key Laboratory of Crop Nutrition
and Fertilization, Ministry of Agriculture, Beijing 100081, P.R.China
4.Agricultural Environment and Resources Research Center, Jilin Academy of Agricultural Sciences, Changchun 130124, P.R.China
5.College of Resource & Environment Sciences, Jilin Agricultural University, Changchun 130118, P.R.China
6.AgWeatherNet, Washington State University, WA 99350-8694, USA |
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摘要 Crop models can be useful tools for optimizing fertilizer management for a targeted crop yield while minimizing nutrient losses. In this paper, the parameters of the decision support system for agrotechnology transfer (DSSAT)-CERES-Maize were optimized using a new method to provide a better simulation of maize (Zea mays L.) growth and N uptake in response to different nitrogen application rates. Field data were collected from a 5 yr field experiment (2006-2010) on a Black soil (Typic hapludoll) in Gongzhuling, Jilin Province, Northeast China. After cultivar calibration, the CERES-Maize model was able to simulate aboveground biomass and crop yield of in the evaluation data set (n-RMSE=5.0-14.6%), but the model still over-estimated aboveground N uptake (i.e., with E values from -4.4 to -21.3 kg N ha-1). By analyzing DSSAT equation, N stress coefficient for changes in concentration with growth stage (CTCNP2) is related to N uptake. Further sensitivity analysis of the CTCNP2 showed that the DSSAT model simulated maize nitrogen uptake more precisely after the CTCNP2 coefficient was adjusted to the field site condition. The results indicated that in addition to calibrating 6 coefficients of maize cultivars, radiation use efficiency (RUE), growing degree days for emergence (GDDE), N stress coefficient, CTCNP2, and soil fertility factor (SLPF) also need to be calibrated in order to simulate aboveground biomass, yield and N uptake correctly. Independent validation was conducted using 2008-2010 experiments and the good agreement between the simulated and the measured results indicates that the DSSAT CERES-Maize model could be a useful tool for predicting maize production in Northeast China.
Abstract Crop models can be useful tools for optimizing fertilizer management for a targeted crop yield while minimizing nutrient losses. In this paper, the parameters of the decision support system for agrotechnology transfer (DSSAT)-CERES-Maize were optimized using a new method to provide a better simulation of maize (Zea mays L.) growth and N uptake in response to different nitrogen application rates. Field data were collected from a 5 yr field experiment (2006-2010) on a Black soil (Typic hapludoll) in Gongzhuling, Jilin Province, Northeast China. After cultivar calibration, the CERES-Maize model was able to simulate aboveground biomass and crop yield of in the evaluation data set (n-RMSE=5.0-14.6%), but the model still over-estimated aboveground N uptake (i.e., with E values from -4.4 to -21.3 kg N ha-1). By analyzing DSSAT equation, N stress coefficient for changes in concentration with growth stage (CTCNP2) is related to N uptake. Further sensitivity analysis of the CTCNP2 showed that the DSSAT model simulated maize nitrogen uptake more precisely after the CTCNP2 coefficient was adjusted to the field site condition. The results indicated that in addition to calibrating 6 coefficients of maize cultivars, radiation use efficiency (RUE), growing degree days for emergence (GDDE), N stress coefficient, CTCNP2, and soil fertility factor (SLPF) also need to be calibrated in order to simulate aboveground biomass, yield and N uptake correctly. Independent validation was conducted using 2008-2010 experiments and the good agreement between the simulated and the measured results indicates that the DSSAT CERES-Maize model could be a useful tool for predicting maize production in Northeast China.
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Received: 01 June 2012
Accepted:
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| Fund: This research was funded by the National Basic Research Programof China (2007CB109306 and 2013CB127405). The authors acknowledge Ministry of Education, China, for providing the scholarship (2008325008), |
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Corresponding Authors:
Correspondence YANG Jing-yi, Tel: +1-519-738-1270, Fax: +1-519-738-2929, E-mail: Jingyi.yang@agr.gc.ca; HE Ping, Tel: +86-10-82105638, E-mail: phe@caas.ac.cn
E-mail: Jingyi.yang@agr.gc.ca
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| About author: LIU Hai-long, Tel: +86-10-82109916, E-mail: hlliu@caas.net.cn |
Cite this article:
LIU Hai-long, YANG Jing-yi, HE Ping, BAI You-lu, JINJi-yun , Craig FDrury, ZHUYe-ping , YANG Xue-ming, LI Wen-juan, XIE Jia-gui, YANGJing-min , Gerrit Hoogen boom.
2012.
Optimizing Parameters of CSM-CERES-Maize Model to Improve Simulation Performance of Maize Growth and Nitrogen Uptake in Northeast China. Journal of Integrative Agriculture, 12(11): 1898-1913.
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