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Inventory control of trees and fruit samples in the Washington State University apple breeding program has been simplified by the use of bar codes. Tree labels in- corporate individual bar-coded identities that can be scanned in the field when taking measurements or collecting samples. Bar codes on fruit sample labels also simplify data recording as well as improve the efficiency of the program by greatly reducing the risk of errors. The interface of bar-code identities with data organization and statistical soft- ware makes data analysis more straightforward. To be successful, a breeding program has to be able to track all its seedlings at every stage of testing and to ensure that the origin of each seedling product (e.g., fruit) tested is correctly recorded. The Washington State University apple breeding program (WABP) has more than 30,000 genotypically unique fruiting trees in the evaluation orchard at any one time. In a typical year, 2500 fruit samples are evaluated from August through February. Typically, breeding progeny are given a unique identifier name with a string of up to 17 characters including letters, num- bers, and symbols; labeling or data entry er- rors are almost inevitable. Frequently, a mere transposition of two characters in a name can produce another name that is equally credible but erroneous and is not easily noted when checking data. Errors in tracking samples back to the tree can prove costly (both in terms of time and money), particularly if the wrong individual is propagated for multisite trials or, worse, for release.

Implementation of Bar-code Technology in a Tree Fruit Breeding Program