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A Regression Analysis Of The Effects Of Planting Date And Variety On Corn Yields In Minnesota

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  • Buaha, Gabriel Toichoa
  • Apland, Jeffrey
  • Hicks, Dale

Abstract

This paper reports the results of a regression analysis of the relationship between planting date and corn yield. The study is based on experiments done at Agricultural Experiment Stations in Waseca, Lamberton and Morris, Minnesota. The experiments were conducted with several corn varieties. In addition to the date of planting, the estimated yield response equations include relative maturity as an explanatory variable. Other management practices included in the models are seeding and fertilization rates. Interactions among explanatory variables are estimated, also.

Suggested Citation

  • Buaha, Gabriel Toichoa & Apland, Jeffrey & Hicks, Dale, 1995. "A Regression Analysis Of The Effects Of Planting Date And Variety On Corn Yields In Minnesota," Staff Papers 13872, University of Minnesota, Department of Applied Economics.
  • Handle: RePEc:ags:umaesp:13872
    DOI: 10.22004/ag.econ.13872
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    References listed on IDEAS

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    1. Ahmed Mazid & Elizabeth Bailey, 1992. "Incorporating risk in the economic analysis of agronomic trials: fertilizer use on barley in Syria," Agricultural Economics, International Association of Agricultural Economists, vol. 7(2), pages 167-184, July.
    2. Mazid, Ahmed & Bailey, Elizabeth, 1992. "Incorporating risk in the economic analysis of agronomic trials: fertilizer use on barley in Syria," Agricultural Economics, Blackwell, vol. 7(2), pages 167-184, July.
    3. Griffin, Ronald C. & Rister, M. Edward & Montgomery, John M. & Turner, Fred T., 1985. "Scheduling Inputs With Production Functions: Optimal Nitrogen Programs For Rice," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 17(1), pages 1-10, July.
    4. Michael D. Frank & Bruce R. Beattie & Mary E. Embleton, 1990. "A Comparison of Alternative Crop Response Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(3), pages 597-603.
    5. Feinerman, Eli, 1994. "Value of information on crop response function to soil salinity in a farm-level optimization model," Agricultural Economics, Blackwell, vol. 10(3), pages 233-243, May.
    6. Griffin, Ronald C. & Rister, M. Edward & Montgomery, John M. & Turner, Fred T., 1985. "Scheduling Inputs with Production Functions: Optimal Nitrogen Programs for Rice," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 17(1), pages 159-168, July.
    7. Quirino Paris & Keith Knapp, 1989. "Estimation of von Liebig Response Functions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 71(1), pages 178-186.
    8. Richard K. Perrin, 1976. "The Value of Information and the Value of Theoretical Models in Crop Response Research," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 58(1), pages 54-61.
    9. Eli Feinerman, 1994. "Value of information on crop response function to soil salinity in a farm‐level optimization model," Agricultural Economics, International Association of Agricultural Economists, vol. 10(3), pages 233-243, May.
    10. Dixon, Bruce L. & Hollinger, Steven E. & Garcia, Philip & Tirupattur, Viswanath, 1994. "Estimating Corn Yield Response Models To Predict Impacts Of Climate Change," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 19(1), pages 1-11, July.
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