Page 67 - Linear Models for the Prediction of Animal Breeding Values
P. 67

Equation 3.24 can also be written as:

                                                  ′
            ⎡ X ′RX +  X ′RX            X ′R ZX RZ ⎤ ˆ         ⎡ X R y      − −1  ⎤
                 −1
                                                                   −1
                          −1
                                            −1
                                                     −1
                                                       1 ⎡ ⎤
                                               +
                                                          b
                                                                            n
                                                                          n
                                                        ⎥
            ⎢  p  p  p  n  n  n           p  p    n  n  2 ⎢ ⎥  = ⎢  ′ p  p  p  + X′ R y n ⎥
            ⎢ ⎣  ′ Z R X +  1 ′ Z RX n  ′ Z R Z ZR Z 1 + A −1 1/s  a ⎥ ⎦  a ⎣ ⎦ ˆ  ⎢ ⎣  Z R y p +Z R y ⎥
                                                                  ′
                                            −1
                          −1
                                   − −1
                 −1
                                      + ′
                                                                    −1
                                                                            −1
                                                                          ′
                                                                               n⎦
                 p
                                                                    p
                    p
                                                                            n
                                   p
                                                                          1
                                         1
                          n
                                            n
        Multiplying the equations above by R  gives:
                                         p
                                                                   1 ⎤
                                            −
                                                                  −
            ⎡ XX +   n ′  − v 1  n  X p ′Z XR Z 1 ⎡ ⎤ ˆ  ⎡ X y ′ p p +  XR y n ⎤
                                                ⎤
                                          n ′
               p ′
                                             1
                                      +
                 p X R X
                                                  b
                                            v
                                                               ′ n
                                                                  v
            ⎢           − 1            − 1   −1 1  ⎥  ⎢ ⎥  =  ⎢   − 1  ⎥    (3.25)
                                  +
                                                  a ˆ
            ⎣ ⎢  ′ Z X +  ′ 1  v  n  ′ ZZ Z RZ + A a ⎣ ⎦  ⎢ ⎣  Zy ′ p  +Z R y n⎥ ⎦
                                                ⎦ ⎥
                  p Z RX
                                     ′ 1
                                                                ′ 1
                                       v
                                          1
                                                                  v
                                −1
                −1
        where R  equals 1/(1 + Da ).
                v
        3.5.2  An illustration
        Example 3.3
        The application of RAM using Eqn 3.24 for the prediction of breeding values is illus-
        trated below with the same data set (Table 3.1) as in Example 3.1 for the animal
                                                  2
                                                               2
        model evaluation. The genetic parameters are s  = 20.0 and s  = 40.0.
                                                  a            e
        CONSTRUCTING THE MME
        First we need to set up R, the matrix of residual variances and its inverse. In the
        example data set, animals 4, 5 and 6 are parents; therefore the diagonal elements
                                                      2
        in R corresponding to these animals are equal to s , that is, 40.0.
                                                      e
            Calves 7 and 8 are non-parents, therefore the diagonal elements for these animals
        in R are equal to s  + d s , assuming that the average inbreeding coefficients of the
                         2
                               2
                         e   i  a
        parents of these animals equal zero. For each calf, d  equals   because both their par-
                                                            1
                                                     i
                                                            2
                                             1
        ents are known, therefore r  = r  = 40 +  2 (20) = 50.
                                77   88
            The matrix R for animals with records is:
            R = diag(40, 40, 40, 50, 50)
        and:
             −1
            R  = diag(0.025, 0.025, 0.025, 0.020, 0.020)
        The matrix X is the same as in Section 3.3.1 and relates records to sex effects.
            Therefore:
                     ⎡0.065 0.000 ⎤
              ′
                −1
            XR X =   ⎢           ⎥
                     ⎣ 0.000 0.050 ⎦
            For the matrix W, the rows for parents with records (animals 4, 5 and 6) consist
        of zeros except for the columns corresponding to these animals, which contain ones,
        indicating that they have records. However, the rows for non-parents with records
        (animals 7 and 8) contain halves in the columns that correspond to their parents, and
        otherwise zeros. Thus:
        Univariate Models with One Random Effect                              51
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