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 predictions 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. Threshold models have been introduced in addition to the basic concepts and methods for variance compenent estimation including the use of the Gibbs sampler. Overall, the book has been thoroughly updated since the first edition was published in 1996. It will appeal to advanced students in animal breeding and genetics.
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
Raphael Mrode is Professor of Quantitative Genetics and Genomics at Scotland's Rural College and Principal Scientist in Quantitative Genetics in Dairy Cattle at the International Livestock Research Institute, Nairobi, Kenya. He has been lecturing on Edinburgh University's Masters course on quantitative genetics and genome analysis since 2005, and has given lectures on mixed linear models and the use of various BLUP models for genetic prediction. His research interests include data modelling and analysis, the incorporation of molecular information in genetic evaluation procedures, the application of innovative approaches for data capture, analysis and feedback and investigating methods for generating alternative and novel phenotypes in small dairy systems in developing countries.
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