Linear models for the prediction of animal breeding values
kotieläinjalostus matemaattiset mallit tilastomenetelmät perinnöllisyys jalostusarvo Livestock Animals, Domestic Breeding Linear Models sähkökirjat kurssikirja
CABI Pub.
2005
2nd ed.
EISBN 9781845931025
Contents; Preface; 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 Effect; 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 Trait 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 Traits11 Estimation of Genetic Parameters; 12 Application of Gibbs Sampling in Variance Component Estimation and Prediction of Breeding Value; 13 Solving Linear Equations; Appendix A: Introductory Matrix Algebra; Appendix B: Fast Algorithms for Calculating Inbreeding Based on the L Matrix; Appendix C; Appendix D: Methods for Obtaining Approximate Rel
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.
10 Analysis of Ordered Categorical Traits11 Estimation of Genetic Parameters; 12 Application of Gibbs Sampling in Variance Component Estimation and Prediction of Breeding Value; 13 Solving Linear Equations; Appendix A: Introductory Matrix Algebra; Appendix B: Fast Algorithms for Calculating Inbreeding Based on the L Matrix; Appendix C; Appendix D: Methods for Obtaining Approximate Rel
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.
