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Simulation as a tool for improving nitrogen management

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Part of the book series: Systems Approaches for Sustainable Agricultural Development ((SAAD,volume 7))

Abstract

Many of the more important processes related to N demand and N supply are described by dynamic simulation techniques. The CERES models, when assembled in the framework of comprehensive crop growth models, are computeraided tools for exploring different N management options across a wide range of varying cropping practices, soil types, and weather conditions. Simulated outcomes provide estimates of economic and environmental impact of different N management options, including the effects of varying N rates, time of application, placement depth, and source.

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References

  • Baethgen W E, Christianson C B, Lamothe A G(1995) Nitrogen fertilizer effects on growth, grain yield, and yield components of malting barley. Field Crops Res 43: 87–101.

    Google Scholar 

  • Bowen W T, Papajorgji P (1992) DSSAT estimated wheat productivity following late–season nitrogen application in Albania. Agrotechnology Transfer 16: 9–12.

    Google Scholar 

  • Bowen W T, Jones J W, Carsky R J, Quintana J O (1993) Evaluation of the nitrogen submodel of CERES–Maize following legume green manure incorporation. Agronomy Journal 85: 153–159.

    Article  CAS  Google Scholar 

  • Bowen W T, Wilkens P W, Singh U, Thornton P K, Ritchie J T (1995) A Generic CERES Cereal Model. Agronomy Abstracts p 62, American Society of Agronomy, Madison, WI, USA.

    Google Scholar 

  • Cabrera M L, Vigil M F, Kissel D E (1994) Potential nitrogen mineralization: Laboratory and field evaluation. Pages 15–30 in Havlin J L, Jacobsen J S(ed.) Soil testing: Prospects for improving nutrient recommendations. Soil Science Society of America Special Publication 40. Soil Science Society of America, Madison, WI, USA.

    Google Scholar 

  • Campbell C A, Jame Y W, Akinremi 0 0, Beckie H J (1994) Evaluating potential nitrogen mineralization for predicting fertilizer nitrogen requirements of long–term field experiments. Pages 81–100 in Havlin J L, Jacobsen J S(ed.) Soil testing: Prospects for improving nutrient recommendations. Soil Science Society of America Special Publication 40. Soil Science Society of America, Madison, WI, USA.

    Google Scholar 

  • Dahnke W C, Johnson G V (1990) Testing soils for available nitrogen. Pages 127–139 in Westerman R L (ed.) Soil testing and plant analysis, 3rd ed. Soil Science Society of America, Madison, WI, USA.

    Google Scholar 

  • Godwin D C, Jones J W (1991) Nitrogen dynamics in soil–crop systems. Pages 287–321 in Hanks R J, Ritchie J T (Eds.) Modeling plant and soil systems. Agronomy Monograph #31, American Society of Agronomy, Madison, WI, USA.

    Google Scholar 

  • Godwin D C, Vlek P L G (1985) Simulation of nitrogen dynamics in wheat cropping systems. Pages311–332 in Day W, Atkins R K (eds.) Wheat growth and modeling. Plenum Press, NY, USA.

    Google Scholar 

  • Harre E A, White W C (1985) Fertilizer Market Profile. Pages 1–24 in Engelstad O P (ed.) Fertilizer technology and use, 3rd ed. Soil Science Society of America, Madison, WI, USA.

    Google Scholar 

  • Hergert G W (1987) Status of residual nitrate–nitrogen soil tests in the United States of America. Pages 73–88 in Soil testing: sampling, correlation, calibration, and interpretation. Soil Science Society of America, Special Publication 21, Madison, WI, USA.

    Google Scholar 

  • Hoffmann F, Ritchie J T (1993) Model for slurry and manure in CERES and similar models. Journal of Agronomy and Crop Science 170: 330–340.

    Article  Google Scholar 

  • Hoogenboom G, Jones J W, Wilkens P W, Batchelor W D, Bowen W T, Hunt L A, Pickering N B, Singh U, Godwin D C, Baer B, Boote K J, Ritchie J T, White J W (1994) Crop models. Pages 95–244 in Tsuji G Y, Uehara G, Balas S (eds.) DSSAT v3. Vol. 2. University of Hawaii, Honolulu, HI, USA.

    Google Scholar 

  • Jones C A, Kiniry J A (eds.) (1986) CERES–Maize: a simulation model of maize growth and development. Texas AandM University Press, College Station, Texas, USA.

    Google Scholar 

  • Jones C A (1983) A survey of the variability in tissue nitrogen and phosphorus concentrations in maize and grain sorghum. Field Crops Research 6: 133–147.

    Article  CAS  Google Scholar 

  • Keating B A, Godwin D C, Watiki J M (1991) Optimising nitrogen inputs in response to climatic risk. Pages 329–358 in Muchow R C Bellamy J A (eds.) Climatic risk in crop production: Models and management for the semiarid tropics and subtropics. CAB International, Wallingford, Oxford, United Kingdom.

    Google Scholar 

  • Keating B A, McCown R L, Wafula B M (1993) Adjustment of nitrogen inputs in response to a seasonal forecast in a region of high climatic risk. Pages 233–252 in Penning de Vries F W T, Teng P S, Metselaar K (eds.) Systems approaches for agricultural development. Kluwer Academic Publishers, Dordrecht, The Netherlands.

    Google Scholar 

  • Meisinger J J (1984) Evaluating plant–available nitrogen in soil–crop systems. Pages 391–416 in Hauck R D (ed.) Nitrogen in crop production. American Society of Agronomy–Crop Science Society of America–Soil Science Society of America, Madison, WI, USA.

    Google Scholar 

  • Penning de Vries F W T, Jansen D M, ten Berge H F M, Bakema A (1989) Simulation of ecophysical processes of growth in several annual crops. Simulation Monograph Series, PUDOC, Wageningen, The Netherlands and IRRI, Los Banos, The Philippines.

    Google Scholar 

  • Quemada M, Cabrera M L (1995) CERESN model predictions of nitrogen mineralized from cover crop residues. Agronomy Journal 59: 1059–1065.

    CAS  Google Scholar 

  • Ritchie J T, Singh U, Godwin D C, Hunt L A (1989) A user’s guide to CERES maize — V2. 10. International Fertilizer Development Center, Muscle Shoals, AL, USA.

    Google Scholar 

  • Singh U, Thornton P K, Saka A R, Dent J B (1993) Maize modelling in Malawi: A tool for soil fertility research and development. Pages 253–273 in Penning de Vries F W T, Teng P S, Metselaar K (eds.) Systems approaches for agricultural development. Kluwer Academic Publishers, Dordrecht, The Netherlands.

    Google Scholar 

  • Stanford G, Legg J 0 (1984) Nitrogen and yield potential. Pages 263–272 in Hauck R D (ed.) Nitrogen in crop production. American Society of Agronomy–Crop Science Society of America–Soil Science Society of America, Madison, WI, USA.

    Google Scholar 

  • Stanford G (1973) Rationale for optimum nitrogen fertilization in corn production. Journal of Environmental Quality 2: 159–166.

    Article  Google Scholar 

  • Stevenson F J (1986) Cycles of soil: carbon, nitrogen, phosphorus, sulfur, micronutrients. John Wiley and Sons, New York, NY USA.

    Google Scholar 

  • Thornton P K, Hoogenboom G (1994) A computer program to analyze singleseason crop model outputs. Agronomy Journal 86: 860–868.

    Article  Google Scholar 

  • Thornton P K, MacRobert J F (1994) The value of information concerning nearoptimal nitrogen fertilizer scheduling. Agricultural Systems 45: 315–330.

    Article  Google Scholar 

  • Thornton P K, Hoogenboom G, Wilkens P W, Jones J W (1994) Seasonal analysis. Pagesl–66 in Tsuji G Y, Uehara G, Balas S (eds.) DSSAT v3. Vol. 3. University of Hawaii, Honolulu, HI USA.

    Google Scholar 

  • Thornton P K, Saka A R, Singh U, Kumwenda J D T, Brink J E, Dent J B (1995) Application of a maize crop simulation model in the central region of Malawi Exp. Agriculture 31: 213–226.

    Article  Google Scholar 

  • Vanotti M B, Bundy L G (1994) Frequency of nitrogen fertilizer carryover in the humid midwest. Agronomy Journal 86: 881–886.

    Article  Google Scholar 

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© 1998 Springer Science+Business Media Dordrecht

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Bowen, W.T., Baethgen, W.E. (1998). Simulation as a tool for improving nitrogen management. In: Tsuji, G.Y., Hoogenboom, G., Thornton, P.K. (eds) Understanding Options for Agricultural Production. Systems Approaches for Sustainable Agricultural Development, vol 7. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-3624-4_10

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  • DOI: https://doi.org/10.1007/978-94-017-3624-4_10

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-4940-7

  • Online ISBN: 978-94-017-3624-4

  • eBook Packages: Springer Book Archive

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