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Book: Grazing Research: Design, Methodology, and Analysis
Published by: Crop Science Society of America and American Society of Agronomy

 

This chapter in GRAZING RESEARCH: DESIGN, METHODOLOGY, AND ANALYSIS

  1.  p. 127-136
    CSSA Special Publication 16.
    Grazing Research: Design, Methodology, and Analysis

    G. C. Marten (ed.)

    ISBN: 978-0-89118-595-6

     

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doi:10.2135/cssaspecpub16.c10

Issues on Modeling Grazing Systems

  1. Otto J. Loewer
  1. University of Arkansas, Fayetteville, Arkansas

Abstract

We are all modelers of one type or another. Researchers who conduct grazing trials are utilizing/developing physical models that are biologically complete but mathematically incomplete. Researchers who use/develop dynamic simulations are utilizing/developing mathematical models that are mathematically complete but biologically incomplete. All models should be examined in terms of their objectives, assumptions, completeness, sensitivity, credibility, and ability to predict while recognizing that not all models are created equal. Ideally, grazing trial researchers and researchers who utilize dynamic simulation should work together in establishing a mutually beneficial grazing experiment. Researchers coordinate their efforts with statisticians to enhance the quality of the experiment. A similar procedure is recommended for the use of dynamic simulations.

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Copyright © 1989. Copyright © 1989 by the Crop Science Society of America Inc., and American Society of Agronomy, Inc., 5585 Guilford Rd., Madison, WI 53711 USA