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Evaluation of the CERES-Maize water and nitrogen balances under tile-drained conditions

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  • Garrison, M. V.
  • Batchelor, W. D.
  • Kanwar, R. S.
  • Ritchie, J. T.

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  • Garrison, M. V. & Batchelor, W. D. & Kanwar, R. S. & Ritchie, J. T., 1999. "Evaluation of the CERES-Maize water and nitrogen balances under tile-drained conditions," Agricultural Systems, Elsevier, vol. 62(3), pages 189-200, December.
  • Handle: RePEc:eee:agisys:v:62:y:1999:i:3:p:189-200
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    1. Paz, J. O. & Batchelor, W. D. & Babcock, B. A. & Colvin, T. S. & Logsdon, S. D. & Kaspar, T. C. & Karlen, D. L., 1999. "Model-based technique to determine variable rate nitrogen for corn," Agricultural Systems, Elsevier, vol. 61(1), pages 69-75, July.
    2. Azevedo, A. S. & Singh, P. & Kanwar, R. S. & Ahuja, L. R., 1997. "Simulating nitrogen management effects of subsurface drainage water quality," Agricultural Systems, Elsevier, vol. 55(4), pages 481-501, December.
    3. Kovacs, G. J. & Nemeth, T. & Ritchie, J. T., 1995. "Testing simulation models for the assessment of crop production and nitrate leaching in Hungary," Agricultural Systems, Elsevier, vol. 49(4), pages 385-397.
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    1. Link, Johanna & Graeff, Simone & Batchelor, William David & Claupein, Wilhelm, 2006. "Evaluating the economic and environmental impact of environmental compensation payment policy under uniform and variable-rate nitrogen management," Agricultural Systems, Elsevier, vol. 91(1-2), pages 135-153, November.
    2. Ma, L. & Hoogenboom, G. & Ahuja, L.R. & Ascough II, J.C. & Saseendran, S.A., 2006. "Evaluation of the RZWQM-CERES-Maize hybrid model for maize production," Agricultural Systems, Elsevier, vol. 87(3), pages 274-295, March.
    3. Ojeda, Jonathan J. & Volenec, Jeffrey J. & Brouder, Sylvie M. & Caviglia, Octavio P. & Agnusdei, Mónica G., 2018. "Modelling stover and grain yields, and subsurface artificial drainage from long-term corn rotations using APSIM," Agricultural Water Management, Elsevier, vol. 195(C), pages 154-171.
    4. Yane Freitas Silva & Rafael Vasconcelos Valadares & Henrique Boriolo Dias & Santiago Vianna Cuadra & Eleanor E. Campbell & Rubens A. C. Lamparelli & Edemar Moro & Rafael Battisti & Marcelo R. Alves & , 2022. "Intense Pasture Management in Brazil in an Integrated Crop-Livestock System Simulated by the DayCent Model," Sustainability, MDPI, vol. 14(6), pages 1-24, March.
    5. Thorp, K.R. & Batchelor, W.D. & Paz, J.O. & Steward, B.L. & Caragea, P.C., 2006. "Methodology to link production and environmental risks of precision nitrogen management strategies in corn," Agricultural Systems, Elsevier, vol. 89(2-3), pages 272-298, September.
    6. Wang, Xiangping & Huang, Guanhua & Yang, Jingsong & Huang, Quanzhong & Liu, Haijun & Yu, Lipeng, 2015. "An assessment of irrigation practices: Sprinkler irrigation of winter wheat in the North China Plain," Agricultural Water Management, Elsevier, vol. 159(C), pages 197-208.
    7. Negm, L.M. & Youssef, M.A. & Skaggs, R.W. & Chescheir, G.M. & Jones, J., 2014. "DRAINMOD–DSSAT model for simulating hydrology, soil carbon and nitrogen dynamics, and crop growth for drained crop land," Agricultural Water Management, Elsevier, vol. 137(C), pages 30-45.
    8. Azam Lashkari & Amin Alizadeh & Ehsan Rezaei & Mohammad Bannayan, 2012. "Mitigation of climate change impacts on maize productivity in northeast of Iran: a simulation study," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 17(1), pages 1-16, January.
    9. DeJonge, Kendall C. & Kaleita, Amy L. & Thorp, Kelly R., 2007. "Simulating the effects of spatially variable irrigation on corn yields, costs, and revenue in Iowa," Agricultural Water Management, Elsevier, vol. 92(1-2), pages 99-109, August.
    10. 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.
    11. Salazar, M.R. & Hook, J.E. & Garcia y Garcia, A. & Paz, J.O. & Chaves, B. & Hoogenboom, G., 2012. "Estimating irrigation water use for maize in the Southeastern USA: A modeling approach," Agricultural Water Management, Elsevier, vol. 107(C), pages 104-111.
    12. Wang, F. & Fraisse, C. W. & Kitchen, N. R. & Sudduth, K. A., 2003. "Site-specific evaluation of the CROPGRO-soybean model on Missouri claypan soils," Agricultural Systems, Elsevier, vol. 76(3), pages 985-1005, June.
    13. Heinemann, A. B. & Hoogenboom, G. & de Faria, R. T., 2002. "Determination of spatial water requirements at county and regional levels using crop models and GIS: An example for the State of Parana, Brazil," Agricultural Water Management, Elsevier, vol. 52(3), pages 177-196, January.
    14. Dokoohaki, Hamze & Gheysari, Mahdi & Mousavi, Sayed-Farhad & Zand-Parsa, Shahrokh & Miguez, Fernando E. & Archontoulis, Sotirios V. & Hoogenboom, Gerrit, 2016. "Coupling and testing a new soil water module in DSSAT CERES-Maize model for maize production under semi-arid condition," Agricultural Water Management, Elsevier, vol. 163(C), pages 90-99.
    15. Hamze, Mohamad & Cheviron, Bruno & Baghdadi, Nicolas & Lo, Madiop & Courault, Dominique & Zribi, Mehrez, 2023. "Detection of irrigation dates and amounts on maize plots from the integration of Sentinel-2 derived Leaf Area Index values in the Optirrig crop model," Agricultural Water Management, Elsevier, vol. 283(C).

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