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Charles R. Henderson, University of Illinois Department of Animal Sciences, was recently elected a member of the National Academy of Sciences for his contributions to the application of statistical theory and methods for the genetic improvement of animals.

Henderson was the first to publish general methods for estimation of variance components from mixed models with unequal subclass numbers. These methods have been employed widely by animal breeders to obtain estimates of genetic parameters that are essential for design of selection programs. Henderson also developed methods of sire evaluation that have been used in the United States and in other countries since 1953. His discovery of best linear unbiased prediction, and its efficient computation by his mixed-model methods, has provided a remarkably powerful and flexible technique for solving a host of problems in animal breeding as well as in other fields. This method rapidly has become the standard for sire evaluation worldwide.