This LaTeX document is available as postscript or asAdobe PDF.
The data below are exactly as given in the notes, plus one additional cow (9 with parents 7 and 2), and shown below.
| Cow | Visit | Age | Age Group | Obs. |
| 1 | 1 | 22 | 1 | 224 |
| 2 | 1 | 30 | 2 | 244 |
| 3 | 1 | 28 | 1 | 224 |
| 1 | 2 | 34 | 2 | 236 |
| 2 | 2 | 42 | 3 | 247 |
| 3 | 2 | 40 | 3 | 242 |
| 4 | 2 | 20 | 1 | 220 |
| 1 | 3 | 47 | 3 | 239 |
| 2 | 3 | 55 | 4 | 241 |
| 4 | 3 | 33 | 2 | 234 |
| 2 | 4 | 66 | 4 | 244 |
| 4 | 4 | 44 | 3 | 228 |
| 9 | 4 | 25 | 1 | 217 |
Let the model be
Thus, the model uses age groups (4 of them) in place of the fixed regressions to account for the shape of the phenotypic relationship between the observations and age.
Use the same parameters as given in the notes for
and
.
The residual variance, however, will be different for
each age group, as follows: 0.8 for age group 1, 0.92 for age group 2,
1.05 for age group 3, and 1.15 for age group 4. Thus,
is
diagonal, but the diagonals differ depending on the age group to
which the cow's observation belongs.
Construct the MME and solve. Calculate EBVs for age 24 months and rank the animals. Compare the age group solutions to the fixed regressions in the notes.
This LaTeX document is available as postscript or asAdobe PDF.
Larry Schaeffer