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Modeling biomass, nitrogen and water dynamics in rice-wheat rotations


  • Jing, Qi
  • Keulen, Herman van
  • Hengsdijk, Huib


Rice-wheat cropping systems occupy between 24 and 26Â Mha in Asia. A main feature of RW rotations is the alternation of aerobic and anaerobic soil conditions. This alternation of flooded and non-flooded soil conditions is conducive to N emissions, especially with the current high N rates in RW systems. To design alternative management systems, better understanding of the processes underlying emissions is required. For that purpose, the RIce WhEat Rotation model (RIWER) was developed, on the basis of existing crop, water and soil organic matter models, describing the relevant soil processes under both anaerobic and aerobic conditions. RIWER is evaluated using data from RW experiments in China. Assessment of model performance, on the basis of graphical comparison and goodness-of-fit parameters, showed that RIWER performs well in simulating total aboveground biomass, N uptake of cops and soil inorganic N content. The RIWER modeling framework needs further testing, but offers a promising operational tool to support the design of sustainable RW systems, combining environmentally-friendly production methods and high yields.

Suggested Citation

  • Jing, Qi & Keulen, Herman van & Hengsdijk, Huib, 2010. "Modeling biomass, nitrogen and water dynamics in rice-wheat rotations," Agricultural Systems, Elsevier, vol. 103(7), pages 433-443, September.
  • Handle: RePEc:eee:agisys:v:103:y:2010:i:7:p:433-443

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    References listed on IDEAS

    1. Jing, Qi & Bouman, Bas & van Keulen, Herman & Hengsdijk, Huib & Cao, Weixing & Dai, Tingbo, 2008. "Disentangling the effect of environmental factors on yield and nitrogen uptake of irrigated rice in Asia," Agricultural Systems, Elsevier, vol. 98(3), pages 177-188, October.
    2. Bouman, B.A.M. & van Laar, H.H., 2006. "Description and evaluation of the rice growth model ORYZA2000 under nitrogen-limited conditions," Agricultural Systems, Elsevier, vol. 87(3), pages 249-273, March.
    3. Feng, Liping & Bouman, B. A.M. & Tuong, T.P. & Cabangon, R.J. & Li, Yalong & Lu, Guoan & Feng, Yuehua, 2007. "Exploring options to grow rice using less water in northern China using a modelling approach: I. Field experiments and model evaluation," Agricultural Water Management, Elsevier, vol. 88(1-3), pages 1-13, March.
    4. Timsina, J. & Humphreys, E., 2006. "Performance of CERES-Rice and CERES-Wheat models in rice-wheat systems: A review," Agricultural Systems, Elsevier, vol. 90(1-3), pages 5-31, October.
    5. 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.
    6. Belder, P. & Bouman, B. A.M. & Spiertz, J.H.J., 2007. "Exploring options for water savings in lowland rice using a modelling approach," Agricultural Systems, Elsevier, vol. 92(1-3), pages 91-114, January.
    7. Boling, A.A. & Bouman, B. A.M. & Tuong, T.P. & Murty, M.V.R. & Jatmiko, S.Y., 2007. "Modelling the effect of groundwater depth on yield-increasing interventions in rainfed lowland rice in Central Java, Indonesia," Agricultural Systems, Elsevier, vol. 92(1-3), pages 115-139, January.
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