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An Alternative Method for Deriving Optimal Fertilizer Rates

Author

Listed:
  • Godden, David P.
  • Helyar, K.R.

Abstract

A model of fertilizer response is outlined which makes a distinction between conventional fertilizer response curves, and the relationship between product yield and maintenance application of fertilizer. The derivation of optimal fertilizer rates for two enterprises on three soil types is used to illustrate the model. A simple rule-of-thumb, which can be used to avoid some computations, is also discussed. In the Australian context, the model has implications for the derivation of optimal super-phosphate rates, and also has important implications for the type of applied super-phosphate research which should be conducted in the future.

Suggested Citation

  • Godden, David P. & Helyar, K.R., 1980. "An Alternative Method for Deriving Optimal Fertilizer Rates," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 48(02), pages 1-15, August.
  • Handle: RePEc:ags:remaae:9343
    DOI: 10.22004/ag.econ.9343
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    References listed on IDEAS

    as
    1. Anderson, Jock R., 1967. "Economic Interpretation of Fertilizer Response Data," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 35(01), pages 1-15, March.
    2. Kennedy, John O.S. & Whan, Ian F. & Jackson, R. & Dillon, John L., 1973. "Optimal Fertilizer Carryover And Crop Recycling Policies For A Tropical Grain Crop," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 17(2), pages 1-10, August.
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    Cited by:

    1. Kennedy, John O.S., 1981. "An Alternative Method for Deriving Optimal Fertilizer Rates: Comment and Extension," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 49(03), pages 1-7, December.
    2. Kennedy, John O.S., 1986. "Rules For Optimal Fertilizer Carryover: An Alternative Explanation," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 54(02), pages 1-8, August.
    3. Farquharson, Robert J. & Cacho, Oscar J. & Mullen, John D., 2005. "An economic approach to soil fertility management for wheat production in New South Wales and Queensland," 2005 Conference (49th), February 9-11, 2005, Coff's Harbour, Australia 137866, Australian Agricultural and Resource Economics Society.
    4. Kerry J. Stott & Brendan Christy & Malcolm McCaskill & Kurt K. Benke & Penny Riffkin & Garry J. O'Leary & Robert Norton, 2020. "Integrating crop modelling and production economics to investigate multiple nutrient deficiencies and yield gaps," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(3), pages 655-676, July.
    5. Farquharson, Robert J., 2006. "Production Response and Input Demand in Decision Making: Nitrogen Fertilizer and Wheat Growers," Australasian Agribusiness Review, University of Melbourne, Department of Agriculture and Food Systems, vol. 14.
    6. Stott, Kerry J. & Christy, Brendan & McCaskill, Malcolm & Riffkin, Penny & O’Leary, Garry J. & Norton, Robert, 2020. "Integrating crop modelling and production economics to investigate multiple nutrient deficiencies and yield gaps," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(3), July.
    7. Behrendt, Karl & Cacho, Oscar & Scott, James M. & Jones, Randall, 2016. "Using seasonal stochastic dynamic programming to identify optimal management decisions that achieve maximum economic sustainable yields from grasslands under climate risk," Agricultural Systems, Elsevier, vol. 145(C), pages 13-23.
    8. Taylor, C. Robert, 1983. "Certainty Equivalence For Determination Of Optimal Fertilizer Application Rates With Carry-Over," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 8(1), pages 1-4, July.

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