LEADER 03763nam 22006614a 450 001 9910784210603321 005 20230617003223.0 010 $a1-280-73537-6 010 $a9786610735372 010 $a1-84593-102-5 035 $a(CKB)1000000000344597 035 $a(EBL)289168 035 $a(OCoLC)63528617 035 $a(SSID)ssj0000192616 035 $a(PQKBManifestationID)11179927 035 $a(PQKBTitleCode)TC0000192616 035 $a(PQKBWorkID)10196653 035 $a(PQKB)11152407 035 $a(MiAaPQ)EBC289168 035 $a(Au-PeEL)EBL289168 035 $a(CaPaEBR)ebr10157941 035 $a(CaONFJC)MIL73537 035 $a(OCoLC)228144240 035 $a(EXLCZ)991000000000344597 100 $a20040908d2005 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aLinear models for the prediction of animal breeding values$b[electronic resource] /$fR.A. Mrode ; with a chapter contributed by R. Thompson 205 $a2nd ed. 210 $aWallingford, UK ;$aCambridge, MA $cCABI Pub.$dc2005 215 $a1 online resource (358 p.) 300 $aDescription based upon print version of record. 311 $a0-85199-000-2 320 $aIncludes bibliographical references (p. 333-340) and index. 327 $aContents; 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 327 $a10 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 330 $aBest 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 606 $aLivestock$xBreeding$xMathematical models 606 $aLivestock$xBreeding$xStatistical methods 606 $aLivestock$xGenetics$xMathematical models 606 $aLivestock$xGenetics$xStatistical methods 615 0$aLivestock$xBreeding$xMathematical models. 615 0$aLivestock$xBreeding$xStatistical methods. 615 0$aLivestock$xGenetics$xMathematical models. 615 0$aLivestock$xGenetics$xStatistical methods. 676 $a636.08/2/015195 700 $aMrode$b R. A$0523349 701 $aThompson$b R$0852899 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910784210603321 996 $aLinear models for the prediction of animal breeding values$93858661 997 $aUNINA