scispace - formally typeset
Journal ArticleDOI

Selection and covariance.

George R. Price
- 01 Aug 1970 - 
- Vol. 227, Iss: 5257, pp 520-521
TLDR
This is a preliminary communication describing applications to genetical selection of a new mathematical treatment of selection in general.
Abstract
THIS is a preliminary communication describing applications to genetical selection of a new mathematical treatment of selection in general.

read more

Citations
More filters
Journal ArticleDOI

Sex-biased dispersal of adults mediates the evolution of altruism among juveniles.

TL;DR: It is shown that dispersal does matter if there is a sex difference in dispersal rate, even when the expression of cooperation is not conditional upon the actor's dispersal status or sex, and that cooperation among juveniles is relatively favoured when there isa small sex bias in adult dispersal in favour of the sex with the greatest variance in reproductive success.
Journal ArticleDOI

Hierarchical Structures

TL;DR: In this paper, the authors compare two known logical forms of hierarchy, both of which have been used in models of natural phenomena, including the biological, and contrast their general properties, internal formal relations, modes of growth (emergence) in applications to the natural world, criteria for applying them, the complexities that they embody, their dynamical relations in applied models, and their informational relations and semiotic aspects.
Book ChapterDOI

Spherical Cows Grazing in Flatland: Constraints to Selection and Adaptation

TL;DR: Here it is emphasised the importance of the resurgence of interest in Fisher's geometric model of adaptation, and the necessity of taking a multivariate view of selection, and basic matrix tools are reviewed, that provide different ways to quantify potential constraints on evolutionary change.
Journal ArticleDOI

Reducing environmental bias when measuring natural selection.

TL;DR: Although not a panacea, using path analysis can substantially reduce environmental biases in estimates of selection coefficients and confidence in phenotypic selection estimates is critical for progress in the study of natural selection.
Journal ArticleDOI

Quantifying selective pressures driving bacterial evolution using lineage analysis.

TL;DR: A path-integral framework is used to demonstrate that lineage-based measurements can be used to quantify the selective pressures acting on a population, and may be broadly useful in elucidating selective pressures driving the emergence of antibiotic resistance and the evolution of survival strategies in biological systems.