Abstract
Pretreatment information about experimental units is often available for agricultural experiments. This information has been used primarily for adjusting treatment response at the stage of data analysis, whereas its use to improve the experiment is seldom discussed. If a covariance model can be established to represent the relationship between data collected before and after the treatment, a procedure is proposed for construction of nearly optimum designs to minimize the generalized variances of treatment means. The procedure is illustrated by allocating grapevines (Vitis vinifera L.) to two and four treatments based on pretreatment measurements of pruning dry weight and volume of aboveground structure of plants. It is shown that the group means are well balanced after the directed allocation.
- Received November 1979.
- Revision received February 1980.
- Accepted February 1980.
- Published online January 1980
- Copyright 1980 by the American Society for Enology and Viticulture
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