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Modelling crop yield, soil water content and soil temperature for a soybean–maize rotation under conventional and conservation tillage systems in Northeast China

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  • Liu, S.
  • Yang, J.Y.
  • Zhang, X.Y.
  • Drury, C.F.
  • Reynolds, W.D.
  • Hoogenboom, G.

Abstract

Soil-crop simulation models can be a valuable tool in evaluating conservation tillage practices which are viable both economically and environmentally. The objective of this study was to evaluate the ability of the DSSAT (Decision Support Systems for Agro-technology Transfer) Cropping System Model (CSM) with the CSM-CROPGRO-Soybean and CSM-CERES-Maize modules to predict crop yields and root zone soil water and temperature dynamics for a soybean (Glycine max)–maize (Zea mays) rotation under conventional tillage (CT), reduced conventional tillage (RT) and no-tillage (NT) on a cool, semi-arid “Black soil” (Mollisol) in Northeastern China. Crop yield, soil water content and soil temperature data collected from a field experiment at Hailun Experimental Station (47°26′N, 126°38′E) during 2004–2011 were used for model calibration and evaluation. The soybean and maize cultivar coefficients were calibrated using the CT yield data, and evaluated using the RT and NT yield data. “Good” agreement between simulated and measured yields was achieved for model calibration (normalized Residual Mean Square Error, nRMSE=9–15%), and “good” to “moderate” agreement was achieved for model evaluation (nRMSE=12–17%). Simulated volumetric soil water content in the top 20cm of CT, RT and NT were in “moderate” to “good” agreement with measurements (index of agreement, d=0.81–0.91; nRMSE=15.3–20.0%), provided that non-destructive in situ measurements of water content were used. Overall agreement between measured and simulated soil temperature varied from “poor” to “excellent” depending on year and tillage; and the measured soil temperatures were consistently overestimated (mean error, E=3.2–6.2), possibly due to lack of accounting in DSSAT for the insulating effects of accumulated surface residues, and the shading effects of standing crops. Refinement of the soil temperature algorithm in DSSAT is recommended.

Suggested Citation

  • Liu, S. & Yang, J.Y. & Zhang, X.Y. & Drury, C.F. & Reynolds, W.D. & Hoogenboom, G., 2013. "Modelling crop yield, soil water content and soil temperature for a soybean–maize rotation under conventional and conservation tillage systems in Northeast China," Agricultural Water Management, Elsevier, vol. 123(C), pages 32-44.
  • Handle: RePEc:eee:agiwat:v:123:y:2013:i:c:p:32-44
    DOI: 10.1016/j.agwat.2013.03.001
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    1. Liu, H.L. & Yang, J.Y. & Tan, C.S. & Drury, C.F. & Reynolds, W.D. & Zhang, T.Q. & Bai, Y.L. & Jin, J. & He, P. & Hoogenboom, G., 2011. "Simulating water content, crop yield and nitrate-N loss under free and controlled tile drainage with subsurface irrigation using the DSSAT model," Agricultural Water Management, Elsevier, vol. 98(6), pages 1105-1111, April.
    2. Chakraborty, Debashis & Nagarajan, Shantha & Aggarwal, Pramila & Gupta, V.K. & Tomar, R.K. & Garg, R.N. & Sahoo, R.N. & Sarkar, A. & Chopra, U.K. & Sarma, K.S. Sundara & Kalra, N., 2008. "Effect of mulching on soil and plant water status, and the growth and yield of wheat (Triticum aestivum L.) in a semi-arid environment," Agricultural Water Management, Elsevier, vol. 95(12), pages 1323-1334, December.
    3. Khaledian, M.R. & Mailhol, J.C. & Ruelle, P. & Rosique, P., 2009. "Adapting PILOTE model for water and yield management under direct seeding system: The case of corn and durum wheat in a Mediterranean context," Agricultural Water Management, Elsevier, vol. 96(5), pages 757-770, May.
    4. Ji, X.B. & Kang, E.S. & Zhao, W.Z. & Zhang, Z.H. & Jin, B.W., 2009. "Simulation of heat and water transfer in a surface irrigated, cropped sandy soil," Agricultural Water Management, Elsevier, vol. 96(6), pages 1010-1020, June.
    5. M.R. Khaledian & J.C. Mailhol & P. Ruelle & J.L. Rosique, 2009. "Adapting PILOTE model for water and yield management under direct seeding system: The case of corn and durum wheat in a Mediterranean context," Post-Print hal-00454543, HAL.
    6. Su, Ziyou & Zhang, Jinsong & Wu, Wenliang & Cai, Dianxiong & Lv, Junjie & Jiang, Guanghui & Huang, Jian & Gao, Jun & Hartmann, Roger & Gabriels, Donald, 2007. "Effects of conservation tillage practices on winter wheat water-use efficiency and crop yield on the Loess Plateau, China," Agricultural Water Management, Elsevier, vol. 87(3), pages 307-314, February.
    7. Jin, Y.H. & Zhou, D.W. & Jiang, S.C., 2010. "Comparison of soil water content and corn yield in furrow and conventional ridge sown systems in a semiarid region of China," Agricultural Water Management, Elsevier, vol. 97(2), pages 326-332, February.
    8. Hassanli, Ali Morad & Ebrahimizadeh, Mohammad Ali & Beecham, Simon, 2009. "The effects of irrigation methods with effluent and irrigation scheduling on water use efficiency and corn yields in an arid region," Agricultural Water Management, Elsevier, vol. 96(1), pages 93-99, January.
    9. Yang, J. & Greenwood, D. J. & Rowell, D. L. & Wadsworth, G. A. & Burns, I. G., 2000. "Statistical methods for evaluating a crop nitrogen simulation model, N_ABLE," Agricultural Systems, Elsevier, vol. 64(1), pages 37-53, April.
    10. Hanson, J. D. & Ahuja, L. R. & Shaffer, M. D. & Rojas, K. W. & DeCoursey, D. G. & Farahani, H. & Johnson, K., 1998. "RZWQM: Simulating the effects of management on water quality and crop production," Agricultural Systems, Elsevier, vol. 57(2), pages 161-195, June.
    11. He, Jianqiang & Dukes, Michael D. & Hochmuth, George J. & Jones, James W. & Graham, Wendy D., 2012. "Identifying irrigation and nitrogen best management practices for sweet corn production on sandy soils using CERES-Maize model," Agricultural Water Management, Elsevier, vol. 109(C), pages 61-70.
    12. Wang, Yajun & Xie, Zhongkui & Malhi, Sukhdev S. & Vera, Cecil L. & Zhang, Yubao & Guo, Zhihong, 2011. "Effects of gravel–sand mulch, plastic mulch and ridge and furrow rainfall harvesting system combinations on water use efficiency, soil temperature and watermelon yield in a semi-arid Loess Plateau of ," Agricultural Water Management, Elsevier, vol. 101(1), pages 88-92.
    13. Mailhol, Jean Claude & Olufayo, Ayorinde A. & Ruelle, Pierre, 1997. "Sorghum and sunflower evapotranspiration and yield from simulated leaf area index," Agricultural Water Management, Elsevier, vol. 35(1-2), pages 167-182, December.
    14. Alletto, Lionel & Coquet, Yves & Justes, Eric, 2011. "Effects of tillage and fallow period management on soil physical behaviour and maize development," Agricultural Water Management, Elsevier, vol. 102(1), pages 74-85.
    15. Enfors, Elin & Barron, Jennie & Makurira, Hodson & Rockström, Johan & Tumbo, Siza, 2011. "Yield and soil system changes from conservation tillage in dryland farming: A case study from North Eastern Tanzania," Agricultural Water Management, Elsevier, vol. 98(11), pages 1687-1695, September.
    16. Ruiz-Nogueira, B. & Boote, K. J. & Sau, F., 2001. "Calibration and use of CROPGRO-soybean model for improving soybean management under rainfed conditions," Agricultural Systems, Elsevier, vol. 68(2), pages 151-173, May.
    17. Dogan, Ergun & Kirnak, Halil & Copur, Osman, 2007. "Effect of seasonal water stress on soybean and site specific evaluation of CROPGRO-Soybean model under semi-arid climatic conditions," Agricultural Water Management, Elsevier, vol. 90(1-2), pages 56-62, May.
    18. Fang, Q. & Ma, L. & Yu, Q. & Ahuja, L.R. & Malone, R.W. & Hoogenboom, G., 2010. "Irrigation strategies to improve the water use efficiency of wheat-maize double cropping systems in North China Plain," Agricultural Water Management, Elsevier, vol. 97(8), pages 1165-1174, August.
    19. Bouman, B. A. M. & van Keulen, H. & van Laar, H. H. & Rabbinge, R., 1996. "The `School of de Wit' crop growth simulation models: A pedigree and historical overview," Agricultural Systems, Elsevier, vol. 52(2-3), pages 171-198.
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