Page 355 - Linear Models for the Prediction of Animal Breeding Values 3rd Edition
P. 355

genetic evaluation                        SNPs see single nucleotide
            additive effects 1                          polymorphisms (SNPs)
            breeding value prediction see breeding   young animals 178
                  value prediction            Gibbs sampling
            description 1                         Gibbs sampler 261
            dominance and epistasis 1–2           joint posterior distribution 260
            pedigree 9–10                         MCMC 260
            phenotypic observation 1              multivariate animal model
            prediction, breeding value 2                see multivariate animal model
            progeny records, breeding value       univariate animal model see univariate
                  prediction 6–8                        animal model
            selection index see selection index
        genetic markers
            additive genetic merit, MQTL 167–169  herd–test–day (HTD) effect 132
            BLUP procedure 156                herd–year–season (HYS) 80
            chromosomes identification 156
            covariance matrix calculation 157–160
            definition 156–157                IGE see indirect genetic effects (IGE)
            DNA microsatellites 156           inbreeding calculation, L matrix
            prediction, breeding values 165–166   calculation 306–307
            QTL bracketed, markers                modification 308–310
                  see quantitative trait loci (QTL)  pedigree 307–308
            total additive genetic merit      indirect genetic effects (IGE) 121
                  prediction 169–171          iteration, mixed model equations
        genetic parameters                        animal model with groups
            eigenvalues 254                          data preparation 282–283
            environmental effect 253                 description 282
            estimation, animal model 255–257         iterative stage 283–284
            measures, daughters of sire 253–254   animal model without groups
            prediction, breeding values 251          ARHS 280
            scaled contrast 255                      convergence criterion 281
            univariate sire model 251                pedigree file 278–279
            WWG, beef calves 252–253, 257–259        predicting breeding 278
        genomic breeding values (GEBV)            description 271–272
            Bayesian methods 193–201              Gauss–Seidel iteration 275–276
            chromosome segments 178               genetic maternal effects 277
            coding and scaling genotypes 178–179  Jacobi iteration see Jacobi iteration
            cross-validation and genomic          progeny 278
                  reliabilities 202               random animal effect 276
            DGV and GEBV 177                      reduced animal model, maternal effects
            fixed effect model, SNP 179–182             see reduced animal model
            genomic selection 178                       (RAM), maternal effects
            linear model 178
            mixed linear model
                polygenic effects 188–190     Jacobi iteration
                SNP effects 182–188               convergence criterion 272, 273
            MME 202                               diagonal element 272–273
            QTL 177                               random animal effect 273
            reference and selection 182           sex effect 274
            selection of animals 177              simultaneous equations 272
            single-step approach 190–193      joint and full conditional distributions
            SNP-BLUP model 203                    Gibbs sampling 263


        Index                                                                339
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