-------- Original Message --------
Subject: predicting selection response
Date: Tue, 22 Mar 2011 12:07:37 +0100
From: Milos Blagojevic <[email protected]>
To: <[email protected]>
Hello to all Morphmet users,
Again, only a question to clarify things up a bit... If, for example, my
study aim was to model hypothesized shape change along some selection
gradient, what approach should I use? The procedure outlined in
Klingenberg and Leamy`s paper "Quantitative genetics of geometric shape
in the mouse mandible" is helpful with respect to information about the
way that GM landmark analysis can be linked to multivariate Qgenetic
analyses, but it is too complex for me. For starters I would like an
easier way to incorporate landmark data in multivariate breeder`s
equation and G matrix. I am aware that shape alone must be reduced, e.g.
by PCA but can PCA scores be used as direct measurements sensu Lande and
Arnold`s classic paper "The measurement of selection on correlated
characters"?
Finally the simulated selection differentials should depict shape change
of certain regions of the skull and then these model shapes used for
testing how and if the overall skull morphological integration has
changed. Of course, all data is strictly from natural populations and no
breeding experiment can be designed, just simulation.
Best regards,
Milos Blagojevic
Faculty of Science
Institute for biology and ecology
Kragujevac, Serbia
