Sentence examples for multivariate genetic constraint from inspiring English sources

This study attempts to quantify the multivariate genetic constraint, considering both within- and between-sex genetic (co variation, in a wild population experiencing a natural environment.

Thus the components of selection operating directly on ornamental traits are largely opposed by indirect selection on correlated traits, and multivariate genetic constraint on male ornamentation is a plausible explanation for the lack of response in attractiveness itself.

Explaining the maintenance of genetic variance for quantitative traits is a core area of research in evolutionary biology and a number of potential explanations, other than multivariate genetic constraint, have been proposed (Via and Lande 1985; Gillespie and Turelli 1989; Charlesworth and Hughes 2000; Johnson and Barton 2005).

Although rare, other estimates of multivariate genetic constraint in the literature have provided stronger evidence of constraint (Blows et al. 2004; Hine and Blows 2006; Smith and Rausher 2008; Lewis et al. 2011; Simonsen and Stinchcombe 2011; Gosden et al. 2012; Williams et al. 2012; Teplitsky et al. 2014).

In particular, they addressed how multivariate genetic constraints and gene flow alter the adaptive potential.

Here we extend the multivariate analysis of genetic constraint in the Rum red deer population to include both males and females and to study the effect of both genetic variances and within- and between-sex genetic covariances in generating constraint.

As such, it has been suggested that bivariate correlations are a poor indicator of genetic constraint and a more multivariate approach has been advocated (Dickerson 1955; Pease and Bull 1988; Walsh and Blows 2009; Houle et al. 2011).

More recently, Morrissey et al. (2012b) used a multivariate method proposed by Agrawal and Stinchcombe (2009) to provide evidence for genetic constraint through antagonistic correlations between female adult survival and female reproductive traits.

Multivariate genetic model-fitting using the twin design examined common genetic influences underlying fruit preference (FP), vegetable preference (VP) and food fussiness (FF).

Developmental and genetic constraint hypotheses do not invoke causal processes in the same way that adaptive hypotheses do.

These pathways showed significant genetic constraint but no statistical support for developmental constraints most likely due to the difference in photosynthetic capacity between roots and shoots.