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A Within-Year Growth Model Approach to Forecasting Corn Yields

Author

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  • House, Carol C.

Abstract

Excerpt from the report Introduction: The 1976 Corn Growth Research Project was carried out as part of the continuing effort to develop feasible within-year forecasting techniques. The objectives of this paper are to: 1) Discuss the form of the logistic growth model and its applicability to forecasting corn yields. 2) Describe the sampling, data collection and data handling techniques involved in the 1976 Corn Research Projects. 3) Discuss the analysis that was performed on this data. This discussion will include: a) The performance of the logistic model and two homoscedastic modifications when fitted using 1976 corn growth data from Iowa and Texas. b) The use of simulated growth data to observe various model characteristics. c) The use of the logistic model to forecast plant survival. 4) Make recommendations for future research.

Suggested Citation

  • House, Carol C., 1977. "A Within-Year Growth Model Approach to Forecasting Corn Yields," Economics Statistics and Cooperative Services (ESCS) Reports 329250, United States Department of Agriculture, Economic Research Service.
    • Handle: RePEc:ags:uerscs:329250
    DOI: 10.22004/ag.econ.329250
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    File URL: https://ageconsearch.umn.edu/record/329250/files/CornYieldGrowthModel.pdf
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    Cited by:

    1. McCormick, M. Denice & Birkett, Thomas R., 1992. "Evaluating the Addition of Weather Data to Survey Data to Forecast Soybean Yields," NASS Research Reports 323938, United States Department of Agriculture, National Agricultural Statistics Service.

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