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Evolution and Selection of Quantitative Traits$
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Bruce Walsh and Michael Lynch

Print publication date: 2018

Print ISBN-13: 9780198830870

Published to Oxford Scholarship Online: September 2018

DOI: 10.1093/oso/9780198830870.001.0001

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Measuring Multivariate Selection

Measuring Multivariate Selection

Chapter:
(p.1139) 30 Measuring Multivariate Selection
Source:
Evolution and Selection of Quantitative Traits
Author(s):

Bruce Walsh

Michael Lynch

Publisher:
Oxford University Press
DOI:10.1093/oso/9780198830870.003.0030

This chapter extends many of the results from Chapter 29 on single trait-fitness associations to the multiple trait setting. It examines the estimate of multivariate fitness surfaces, starting with quadratic surfaces and then moving to nonparametric versions (which assume no a prior functional form). It also examines path analysis, the analysis of missing data, and multilevel selection.

Keywords:   aster models, Box-Hunter confidence region, canonical forms, contextual analysis, Cope's law, directional selection gradient vector, elasticity path analysis, levels of selection, meta-analysis, Morrissey's extended selection gradient, projection-pursuit regression, quadratic selection gradient matrix, quadratic surfaces, sexually antagonistic selection, thin-plate splines

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