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An Innovative Approach for Modeling Crop Yield Response to Fertilizer Nutrients

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  • Upadhyay, Bharat Mani
  • Smith, Elwin G.
  • Favret, M. Lucila

Abstract

Fertilizer recommendations seldom account for agro-climatic conditions, which are important factors that determine the response to fertilizer and the optimal rate of fertilizer. The nitrogen fertilizer response to open pollinated and hybrid canola types will also impact optimal nitrogen rates. This study used quantile regression to model canola yield response to nitrogen fertilizer. Quantile regression can apply different weights to the residuals, facilitating a response estimation where the agro-climatic conditions are not limiting and the yield response is due to the variable of interest. The economically optimal levels of fertilizers were calculated using the proposed and the conventional least squares procedures of the two canola types in western Canada. Results showed that the effects of nitrogen fertilizer on yield depended on the canola type and on the estimation procedure. Optimal levels of nitrogen for open-pollinated canola were estimated as 91, 115, and 134 kg ha-1 for severe, moderate and low levels of agro-climatic constraints. Hybrid had a higher yield potential, and also required more nitrogen fertilizer (137, 142, and 158 kg ha-1). Unlike conventional approach, proposed approach could benefit producer by recommending less (more) fertilizer when the crop response to fertilizer is expected to be low (high) due to agro-climatic conditions.

Suggested Citation

  • Upadhyay, Bharat Mani & Smith, Elwin G. & Favret, M. Lucila, 2006. "An Innovative Approach for Modeling Crop Yield Response to Fertilizer Nutrients," Annual Meeting, 2006, May 25-28, Montreal, Quebec 34183, Canadian Agricultural Economics Society.
    • Handle: RePEc:ags:caes06:34183
    DOI: 10.22004/ag.econ.34183
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    References listed on IDEAS

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    5. Elwin G. Smith & Ross H. McKenzie & Cynthia A. Grant, 2003. "Optimal Input Use When Inputs Affect Price and Yield," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 51(1), pages 1-13, March.
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