Page 354 - Linear Models for the Prediction of Animal Breeding Values 3rd Edition
P. 354

calving difficulty (CD) 235–238      DBV see direct breeding value (DBV)
         canonical transformation             deregressed breeding values (DRB)
            calculation, variables 97             iterative procedure 323
            calculation procedure 318–319         and MACE 323
            data, pre-weaning weight and          pedigree structure 324
                  gain 320–321                deregressed proofs (DRP) 87, 89
            design matrices 95, 97            diagonal matrix 300
            identity matrix 96                direct breeding value (DBV) 122–123,
            missing records and same incidence      127–128
                  matrices 319–320            dominance matrix
            single trait analysis 95, 96          inverse, relationship matrix
            solutions 321–322                        F −1  212–215
            traits observations 318                  subclass effects 210–211
            variance and covariance matrices 96   pairs of genes 209
            WWG and PWG, beef calves 97–98        partial regression coefficient 209
         CD see calving difficulty (CD)           prediction 211–212
         CFs see covariance functions (CFs)   DRB see deregressed breeding values (DRB)
         Cholesky decomposition 322           DRP see deregressed proofs (DRP)
         Cholesky transformation              DYDs see daughter yield deviations (DYDs)
            defining 98–99
            loss of records 98
            residual and additive genetic covariance,   EDC see effective daughter contributions
                  beef calves 99–100                (EDC)
            solutions 101                     effective daughter contributions
         common environmental effects, BLUP         (EDC) 88–89
            definition 67                     epistasis
            resemblance 66–67                     Hadamard product 215
            variation 67                          inverse, relationship matrix
            weaning weight, piglets 67–69            calculation 217–218
         covariance functions (CFs)                  rules 216–217
            body weight measurements 149–151
            description 149
            reduced order fitting 151–155     fat yield in lactation 1, FAT1 and
            standardized ages 149                   FAT2 81, 82
         covariance matrix calculation        fixed regression model
            alternative recursive method 160–161  incidence matrices, MME 133–135
            inverse calculation                   lactation curve 133
                description 161–162               permanent environmental
                identity matrix 164–165                 effects 135–136
                inbreeding coefficient 162        TDY, cows 132
                maternal and paternal MQTL 164
                residual effect 162
                sire and dam 163              Gauss–Seidel iteration 275–276
            maternal MQTL 157                 GEBV see genomic breeding values (GEBV)
            numerical application 158–160     genetic covariance
            recombination rate 158                BLUP 22
            tabular method 158                    decomposing, relationship
                                                        matrix 23–25
                                                  description 22
         daughter yield deviations (DYDs) 77–78,  numerator relationship matrix see
               82–83, 86–87                             numerator relationship matrix
            see also progeny yield deviation (PYD)  sire and MGS model 30–33


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