Linear models for the prediction of animal breeding values
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Bibliographic Information
Linear models for the prediction of animal breeding values
CABI Publishing, c2005
2nd ed
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Note
Includes bibliographical references (p. 333-340) and index
Description and Table of Contents
Description
Best Linear Unbiased Prediction (BLUP) has become the most widely accepted method for genetic evaluation of domestic livestock. Since its introduction, the method has evolved and despite this there is no simple text on the application of linear models to the prediction of breeding values. This book has been written with a good balance of theory and application to fill this gap. Equations for partitioning breeding values into contributions from various sources of information are derived under the various models. Recent developments in the analysis of longitudinal data with random regression models and the inclusion of genetic marker information in the evaluation of animals have been incorporated. Overall the book has been thoroughly updated since the first edition was published in 1996.
Table of Contents
1: Genetic evaluation with different sources of records 2: Genetic covariance between relatives 3: Best linear unbiased prediction of breeding value: univariate models with one random effects 4: Best linear unbiased prediction of breeding value: Models with random environmental effects 5: Best linear unbiased prediction of breeding value: Multivariate models 6: Maternal traits models: Animal and reduced animal Models 7: Analysis of longitudinal data 8: Use of genetic markers in prediction of breeding values 9: Non-additive animal models 10: Analysis of ordered categorical trait 11: Estimation of genetic parameters (Contributed by Professor R Thompson, Rothamsted Research, Harpenden, UK) 12: Application of Gibbs sampling in variance component estimation and prediction of breeding value 13: Solving linear equations
by "Nielsen BookData"
