Linear Models for the Prediction of the Genetic Merit of Animals

Raphael A Mrode (Author) 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.Ivan Pocrnic (Author) Ivan Pocrnic is an animal geneticist with a specific interest in the development of novel breeding methodologies and tools. This work involves a synergy between theoretical, quantitative genetics and practical animal breeding. His primary expertise is applying genomic selection on big datasets for various agricultural species and various models, with emphasis on single-step genomic prediction.

• 1: The Genome and phenotypes 2: Genetic evaluation with different sources of records 3: Genetic covariance between relatives 4: Best linear unbiased prediction of breeding value: univariate models with one random effect 5: Best linear unbiased prediction of breeding value: Models with random environmental effects 6: Best Linear unbiased prediction of breeding value: Multivariate models 7: Methods to reduce the dimension of multivariate models 8: Maternal traits models: Animal and reduced animal Models 9: Social interaction models 10: Analysis of longitudinal data 11: Genomic prediction and selection 12: Single-step approaches to genomics 13: Non-additive animal models 14: Genetic and genomic models for multibreed and crossbred analyses 15: Analysis of ordered categorical traits 16: Survival analysis 17: Estimation of genetic parameters 18: Use of Gibbs sampling in variance component estimation and breeding value prediction 19: Solving linear equations