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Home → Publications → Tree Improvement and Genetics → Southern Forest Tree Improvement Conference → 20th Southern Forest Tree Improvement Conference (1989) → Applications of Best Linear Prediction to the Analysis of Five Full-Sib Loblolly Pine Progeny Tests

Applications of Best Linear Prediction to the Analysis of Five Full-Sib Loblolly Pine Progeny Tests

Two applications of Best Linear Prediction (BLP) were demonstrated and compared. One method obtains variance and covariance components (homogeneous second moments) from a combined ANOVA based on theory and expected values to predict breeding values for all parents in all environments in a breeding zone. The other method combines variances of family means from separate ANOVAS from each test with family mean correlations between tests to obtain heterogeneous second moments. When there are large environmental differences and genotype x environment interactions such that there are distinct breeding zones, the second method may be used to predict the breeding values of those parents best suited for specific target environments.


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Author(s): Timothy LaFarge

Publication: Tree Improvement and Genetics - Southern Forest Tree Improvement Conference - 1989

Section: Concurrent Session 2B