A tale of two matrices: multivariate approaches in evolutionary biology

Two symmetric matrices underlie our understanding of microevolutionary change. The first is the matrix of nonlinear selection gradients (γ) which describes the individual fitness surface. The second is the genetic variance–covariance matrix (G) that influences the multivariate response to selection....

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Veröffentlicht in:	Journal of evolutionary biology 2007-01, Vol.20 (1), p.1-8
1. Verfasser:	BLOWS, M. W.
Format:	Artikel
Sprache:	eng
Schlagworte:	Biological Evolution Data Interpretation, Statistical genetic constraints genetic variance‐covariance matrix Genetic Variation Multivariate Analysis nonlinear selection Quantitative Trait, Heritable Selection, Genetic stabilizing selection
Online-Zugang:	Volltext
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