Page 176 - Linear Models for the Prediction of Animal Breeding Values 3rd Edition
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g     = (1 − 0.9)g   + (0.9)g   = (0.1)0 + (0.9)1 = 0.9
             3m,2m          2p,2m      2m,2m
             g    = (1 − 0.9)g   + (0.9)g   = (0.1)0 + (0.9)0 = 0
              3m,3p         2p,3p      2m,3p
            g     = 1.0
             3m,3m
         10.4   An Alternative Approach for Calculating G
                                                                v
         An alternative recursive method for the calculation of G  and its inverse was presented
                                                        v
         by Van Arendonk et al. (1994) using matrix notation. Their method accounts for
         inbreeding and can be used to calculate a combined numerator relationship matrix
         (A ) and its inverse. The matrix A  = A  + A , where A  is the numerator relationship
           a                          a   u   v        u
         matrix for animals for QTL not linked to the marker and A  is the relationship matrix
                                                           v
         for animals for MQTL linked to the marker. The inverse of A  is useful for the direct
                                                              a
         prediction of total additive genetic merit, i.e. additive genetic merit with information
         from markers directly included.
            The principles of their methodology are initially illustrated briefly using the calcula-
         tion of the relationship matrix (A) among animals in the absence of marker information.
         The representation of the rules for building A  for animals 1 to i in matrix form is:
                                               i
                 ⎡ A i−1     A i−1 s i ⎤
            A = ⎢                 ⎥                                         (10.9)
              i
                  i ⎣ ⎢s′  A i−1  a ii ⎦ ⎥
                                                                          1
         where s  is the column vector of i − 1 elements containing two elements,  , corre-
               i                                                          2
         sponding to the sire or dam (if known) and zero elsewhere. A  is the numerator
                                                                i−1
         relationship matrix for animals 1 to (i − 1) and a  is the diagonal element of A for
                                                    ii
         animal i and is equal to 1 + F , where F  is the inbreeding coefficient of the ith animal.
                                  i       i
         Using the data in Example 10.1, the A matrix ignoring marker information is:
                ⎡ 1.000 0.000 0.500 0.750 0.625⎤
                ⎢                                ⎥
                ⎢ 0.000 1.000 0.500 0.250 0.375  ⎥
                ⎢
            A =  0.500 0.500 1.000 0.750 0.875⎥
                    0
                ⎢                                ⎥
                ⎢ 0.750 0.250 0.750 1.250 1.000  ⎥
                ⎢ ⎣ 0.625 0.375 0..875 1.000 1.375 ⎥ ⎦
         For animal 5, s′ = [0 0 0.5 0.5]; therefore, the column vector above the diagonal
                      5
         for animal 5 (q ) in A using Eqn 10.9 can be calculated as q  = A s .Thus the row
                      5                                       5    4 5
         vector q′ = s′A = [0.625 0.375 0.875 1.00] and the diagonal element for animal 5,
                5   5  4
         a  = 1 + 0.5(a ) = 1.375. Note also that given q , s  can be computed as:
          55         34                            i  i
            s  = A −1  q                                                   (10.10)
             i   i−1  i
         This relationship will be used in subsequent sections when it is not possible to calcu-
         late s  directly.
             i
            Given A , for animal i − 1, Tier and Solkner (1993) demonstrated that the effect
                   −1
                   i−1
                                                        −1
         of adding an additional row to A on the elements of A  as:
                  ⎡ A −1  ⎤ 0             − ⎡ss′  −s i ⎤
                               ii (
                                           1
                                        s
            A −1  = ⎢  i−1  ⎥ +  a − s′  A i− ) ⎢  i i  ⎥ ⎥                (10.11)
              i                    i   1  i  −s′
                  ⎣ ⎢ 0  0 ⎦ ⎥              ⎣  i    1 ⎦
          160                                                            Chapter 10
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