Evolution and stability of the G-matrix in response to different patterns of mutation and selection (stationary optimum). Each row shows the results (snapshots) from a single simulation run lasting 2000 generations. The first three ellipses in each row are the 95% confidence ellipses (or equivalent) for the M-matrix, the adaptive landscape (ω + P matrix), and the resulting average G-matrix (*n* = 2000 generations). These three ellipses are shown on different scales. The average G-matrix is the reference size, but the M-matrix is magnified by a factor of 3, and the ω + P matrix is reduced by a factor of 10. The average P-matrix (*n* = 2000 generations) was added to the ω-matrix to compute the ω + P matrix. The last eight ellipses in each row show snapshots of the G-matrix (95% confidence ellipses) every 200 generations, shown at the same scale as the average G-matrix. From top to bottom, the values of mutation and selection and the resulting average genetic correlation are: (A) *r*_{μ} = *r*_{ω} = 0, *r*_{g} = −0.09. (B) *r*_{μ} = 0, *r*_{ω} = 0.75, *r*_{g} = 0.29. (C) *r*_{μ} = 0.50, *r*_{ω} = 0, *r*_{g} = 0.48. (D) *r*_{μ} = 0.50, *r*_{ω} = 0.75, *r*_{g} = 0.64. (E) *r*_{μ} = 0.90, *r*_{ω} = 0.90, *r*_{g} = 0.93. The following parameters are the same for all rows: *N*_{e} = 342, ω_{11} = ω_{22} ^{=} 49, and the mutational variances for each character are 0.05 (as in ).

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