Abstract
In selection theory a goal of selection is to maximize the mean of the selected group. With two stages of selection, a more appropriate goal for the first stage of selection might be to choose those members that give maximum expected response to the sum of both stages of selection. An index procedure is developed that considers both the animal's estimated breeding value and the accuracy of its evaluation for the first stage of selection. This procedure chooses a group of animals with lower expected mean but larger expected variance by favoring individuals estimated with less accuracy. A potential application of the index is in choosing young bulls to be progeny tested. Monte Carlo results in a progeny test program indicate that selection on the index would give only .36% (±.26%) faster genetic gain than selection on estimated breeding values alone.
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