Abstract
Abstract The U.S. Department of Agriculture has used response-surface techniques as applied by Baker and Bargmann (1981) to plant process simulation models as an aid in the identification of interrelationships among yield and various single-valued and functional parameters. Orthogonal cubic surfaces have provided insight into higher order relationships as well as a measure of the relative sensitivity of yield to experimentally determined parameter values. Several examples investigate the effectiveness of those higher order surfaces and illustrate how less precise (and less costly) measurements may be possible in building and using these simulation models.
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