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Estimating the effectiveness of extension information systems using farm trials and subjective probabilities

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  • Wayne H. Howard
  • Robert W. Blake
  • Thomas O. Knight
  • C. Richard Shumway
  • Michael A. Tomaszewski

Abstract

A method of combining survey data and Dairy Herd Improvement Association (DHIA) records to achieve low cost farm trials is presented. Farm trials and surveys of current practices and production responses are useful to identify yield gaps between expectations predicted from experimental findings and actual field results. Different management schemes can be ranked using subjective probabilities and stochastic dominance to enhance successful implementation of research findings and to increase the feedback between researchers, extension workers, and producers. A survey of current masitis control practices and expected milk yield response is the example. Combining survey results with DHIA records allowed estimating the relationship between somatic cell counts (SCC) and milk yield. Eliciting beliefs about the relationship between SCC and milk yield showed that producers agreed with predictions from the statistical model. Subjective probabilities about SCC and mastitis control practices showed that our sample of experts and producers consistently ranked the different practices but extension agents had no consensus about the the most or least effective ones.

Suggested Citation

  • Wayne H. Howard & Robert W. Blake & Thomas O. Knight & C. Richard Shumway & Michael A. Tomaszewski, 1992. "Estimating the effectiveness of extension information systems using farm trials and subjective probabilities," Agricultural Economics, International Association of Agricultural Economists, vol. 7(1), pages 77-90, June.
    • Handle: RePEc:bla:agecon:v:7:y:1992:i:1:p:77-90
    DOI: 10.1111/j.1574-0862.1992.tb00206.x
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    Cited by:

    1. Harp, Aaron J., 1995. "Farmers And The Context Of Information For Sustainable Agriculture: A Report To The Sustainable Agriculture Network," A.E. Extension Series 304962, University of Idaho, Department of Agricultural Economics and Rural Sociology.

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