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Journal of Integrative Agriculture  2017, Vol. 16 Issue (10): 2300-2307    DOI: 10.1016/S2095-3119(17)61678-2
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Using the DSSAT model to simulate wheat yield and soil organic carbon under a wheat-maize cropping system in the North China Plain
LIU Hai-long1, LIU Hong-bin2, LEI Qiu-liang2, ZHAI Li-mei2, WANG Hong-yuan2, ZHANG Ji-zong2, ZHU Ye-ping1, LIU Sheng-ping1, LI Shi-juan1, ZHANG Jing-suo3, LIU Xiao-xia3
1 Institute of Agricultural information, Chinese Academy of Agricultural Sciences/Key Laboratory of Agri-information Service Technology, Ministry of Agriculture, Beijing 100081, P.R.China
2 Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences/Key Laboratory of Nonpoint Source Pollution Control, Ministry of Agriculture, Beijing 100081, P.R.China
3 Beijing Municipal Station of Agro-environmental Monitoring, Beijing 100029, P.R.Chi
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Abstract  Crop modelling can facilitate researchers’ ability to understand and interpret experimental results, and to diagnose yield gaps. In this paper, the Decision Support Systems for Agrotechnology Transfer 4.6 (DSSAT) model together with the CENTURT soil model were employed to investigate the effect of low nitrogen (N) input on wheat (Triticum aestivum L.) yield, grain N concentration and soil organic carbon (SOC) in a long-term experiment (19 years) under a wheat-maize (Zea mays L.) rotation at Changping, Beijing, China.  There were two treatments including N0 (no N application) and N150 (150 kg N ha–1) before wheat and maize planting, with phosphorus (P) and potassium (K) basal fertilizers applied as 75 kg P2O5 ha–1 and 37.5 kg K2O ha–1, respectively.  The DSSAT-CENTURY model was able to satisfactorily simulate measured wheat grain yield and grain N concentration at N0, but could not simulate these parameters at N150, or SOC in either N treatment.  Model simulation and field measurement showed that N application (N150) increased wheat yield compared to no N application (N0).  The results indicated that inorganic fertilizer application at the rates used did not maintain crop yield and SOC levels.  It is suggested that if the DSSAT is calibrated carefully, it can be a useful tool for assessing and predicting wheat yield, grain N concentration, and SOC trends under wheat-maize cropping systems.
Keywords:  DSSAT        wheat-maize rotation        model evaluation        long-term experiment        yield        soil organic carbon  
Received: 23 November 2016   Accepted:

The study was funded by the National Natural Science Foundation of China (41471285), the Agricultural Science and Technology Innovation Program (ASTIP) of Chinese Academy of Agricultural Sciences (CAAS-ASTIP-2016-AII), the Key Laboratory of Nonpoint Source Pollution Control, Ministry of Agriculture, China (2014-37), the Newton Fund, United Kingdom (BB/N013484/1), and the National Key Research and Development Program of China (2016YFD0200601).

Corresponding Authors:  Correspondence LIU Hong-bin, E-mail:   
About author:  LIU Hai-long, E-mail:

Cite this article: 

LIU Hai-long, LIU Hong-bin,LEI Qiu-liang, ZHAI Li-mei, WANG Hong-yuan, ZHANG Ji-zong, ZHU Yeping, LIU Sheng-ping, LI Shi-juan, ZHANG Jing-suo, LIU Xiao-xia. 2017. Using the DSSAT model to simulate wheat yield and soil organic carbon under a wheat-maize cropping system in the North China Plain. Journal of Integrative Agriculture, 16(10): 2300-2307.

Basso B, Gargiulo O, Paustian K, Robertson G P, Porter, C, Grace P R, Jones J W. 2011. Procedures for initializing soil organic carbon pools in the DSSAT-CENTURY model for agricultural systems. Soil Science Society of Americal Journal, 75, 69–78.

Boote K J. 1999. Concepts for calibrating crop growth models. In: Hoogenboom G, Wilkens P W,  Tsuji G Y, eds., DSSAT v3. vol. 4. University of Hawaii, Honolulu, Hawaii.

Gijsman A J, Hoogenboom G, Parton W J, Kerridge P C. 2002. Modifying DSSAT crop models for low-input agricultural systems using a soil organic matter-residue module from CENTURY. Agronomy Journal, 94, 462–474.

Gijsman A J, Thornton P K, Hoogenboom G. 2007. Using the WISE database to parameterize soil inputs for crop simulation models. Computers and Electronics in Agriculture, 56, 85–100.

Hoogenboom G, Jones J W, Wilkens P W, Porter C H, Boote K J, Hunt L A, Singh U, Lizaso J L, White J W, Uryasev O, Royce F S, Ogoshi R, Gijsman A J, Tsuji G Y, Koo J. 2012. Decision Support System for Agrotechnology Transfer (DSSAT) Version 4.5 [CD-ROM]. University of Hawaii, Honolulu, Hawaii.

Jones C A, Dyke P T, Williams J R, Kiniry J R, Benson V W, Griggs R H. 1991. EPIC: An operational model for evaluation of agricultural sustainability. Agricultural Systems, 37, 341–350.

Jones J, Naab J, Fatondji D, Dzotsi K, Adiku S, He J. 2012. Uncertainties in simulating crop performance in degraded soils and low input production systems. In: Kihara J, Fatondji D, Jones J W, Hoogenboom G, Tabo R, Bationo A, eds., Improving Soil Fertility Recommendations in Africa Using the Decision Support System for Agrotechnology Transfer (DSSAT). Springer, the Netherlands, pp. 43–59.

Jones J W, Hoogenboom G, Porter C H, Boote K J, Batchelor W D, Hunt L A, Wilkens P W, Singh U, Gijsman A J, Ritchie J T. 2003. The DSSAT cropping system model. European Journal of Agronomy, 18, 235–265.

Keating B A, Carberry P S, Hammer G L, Probert M E, Robertson M J, Holzworth D, Huth N I, Hargreaves J N G, Meinke H, Hochman Z, McLean G, Verburg K, Snow V, Dimes J P, Silburn M, Wang E, Brown S, Bristow K L, Asseng S, Chapman S, McCown R L, Freebairn D M, Smith C J. 2003. An overview of APSIM, a model designed for farming systems simulation. European Journal of Agronomy, 18, 267–288.

Li Z T, Yang J Y, Drury C F, Hoogenboom G. 2015. Evaluation of the DSSAT-CSM for simulating yield and soil organic C and N of a long-term maize and wheat rotation experiment in the Loess Plateau of Northwestern China. Agricultural Systems, 135, 90–104.

Liu H L, Yang J Y, Drury C F, Reynolds W D, Tan C S, Bai Y L, He P, Jin J, Hoogenboom G. 2011. Using the DSSAT-CERES-Maize model to simulate crop yield and nitrogen cycling in fields under long-term continuous maize production. Nutrient Cycling in Agroecosystem, 89, 313–328.

Liu J, Liu H, Huang S, Yang X, Wang B, Li X, Ma Y. 2010. Nitrogen efficiency in long-term wheat maize cropping systems under diverse field sites in China. Field Crops Research, 118, 145–151.

Musinguzi P, Ebanyat P, Tenywa J S, Mwanjalolo M, Basamba T A, Tenywa M M, Porter C. 2014. Using DSSAT-CENTURY model to simulate soil organic carbon dynamics under a low-input maize cropping system. Journal of Agricultural Science (Toronto), 6, 120–131.

Pickering N B, Hansen J W, Jones J W, Wells C M, Chan V K, Godwin D C. 1994. WeatherMan: A utility for managing and generating daily weather data. Agronomy Journal, 86, 332–337.

Porter C H, Jones J W, Adiku S, Gijsman A J, Gargiulo O, Naab J B. 2010. Modeling organic carbon and carbon-mediated soil processes in DSSAT v4.5. Operational Research, 10, 247–278.

De Sanctis G, Roggero P P, Seddaiu G, Orsini R, Porter C H, Jones J W. 2012. Long-term no tillage increased soil organic carbon content of rain-fed cereal systems in a Mediterranean area. European Journal of Agronomy, 40, 18–27.

Singh P, Alagarswamy G, Hoogenboom G, Pathak, P, Wani S P, Virmani S M. 1999. Soybean-chickpea rotation on Vertic Inceptisols II. Long-term simulation of water balance and crop yields. Field Crops Research, 63, 225–236.

Stöckle C O, Donatelli M, Nelson R. 2003. CropSyst, a cropping systems simulation model. European Journal of Agronomy, 18, 289–307.

Sun Y, Hu K, Fan Z, Wei Y, Lin S, Wang J. 2013. Simulating the fate of nitrogen and optimizing water and nitrogen management of greenhouse tomato in North China using the EU-Rotate_N model. Agricultural Water Management, 128, 72–84.

Tang X, Li J, Ma Y, Hao X, Li X. 2008. Phosphorus efficiency in long-term (15 years) wheat-maize cropping systems with various soil and climate conditions. Field Crops Research, 108, 231–237.

Timsina J, Humphreys E, 2006. Performance of CERES-Rice and CERES-Wheat models in rice-wheat systems: A review. Agricultural Systems, 90, 5–31.

Williams J R. 1995. The EPIC model. In: Singh V P, ed., Computer Models of Watershed Hydrology. Water Resources Publications, Highlands Ranch, USA. pp. 909–1000.

Yang J M, Yang J Y, Dou S, Yang X M, Hoogenboom G. 2013. Simulating the effect of long-term fertilization on maize yield and soil C/N dynamics in northeastern China using DSSAT and CENTURY-based soil model. Nutrient Cycling in Agroecosystems, 95, 287–303.

Yang J Y, Drury C F, Johnston R, Simard M, Zavitz J, Hoogenboom G. 2010. EasyGrapher v4.5: Software for graphical and statistical evaluation of DSSAT v4.5 outputs. Poster presentation. In: Annual Meeting of ASA-CSSA-SSSA 2010. Lang Beach, CA, USA.

Yang J Y, Huffman E C. 2004. EasyGrapher: software for graphical and statistical validation of DSSAT outputs. Computers and Electronics in Agriculture. 45, 125–132.

Zhang Y G, Liu H B, Li Z H, Lin B, Zhang F D. 2005. Study of nitrate leaching potential from agricultural land in Northern China under long-term fertilization conditions. Plant Nutrition and Fertilizer Science, 11, 711–716.

Zhao B Q, Li X Y, Liu H, Wang B R, Zhu P, Huang S M, Bao D J, Li Y T, So H B. 2011. Results from long-term fertilizer experiments in China: The risk of groundwater pollution by nitrate. NJAS-Wageningen Journal of Life Sciences, 58, 177–183.
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