Linear models for the prediction of animal breeding values [[electronic resource] /] / R.A. Mrode ; with a chapter contributed by R. Thompson

• Record Nr.: UNINA9910784210603321
• Autore: Mrode R. A
• Pubbl/distr/stampa: Wallingford, UK ; ; Cambridge, MA, : CABI Pub., c2005
• ISBN: 1-280-73537-6; 9786610735372; 1-84593-102-5
• Edizione: [2nd ed.]
• Descrizione fisica: 1 online resource (358 p.)
• Altri autori (Persone): ThompsonR
• Disciplina: 636.08/2/015195
• Soggetti: Livestock - Breeding - Mathematical models; Livestock - Breeding - Statistical methods; Livestock - Genetics - Mathematical models; Livestock - Genetics - Statistical methods
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references (p. 333-340) and index.
• Nota di contenuto: 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 Reliability for Genetic Evaluations; Appendix E; Appendix F: Procedure fo
• Sommario/riassunto: 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 m