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Journal ArticleDOI

Selection and covariance.

George R. Price
- 01 Aug 1970 - 
- Vol. 227, Iss: 5257, pp 520-521
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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.

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Citations
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Journal ArticleDOI

Developmental selection and self-organization

TL;DR: The formal analogies between models of developmental selection and genetical selection are shown, and a model of self-organization in ant colonies is applied, to show the links between these two types of selection.
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The evolution of conflict resolution between plasmids and their bacterial hosts.

TL;DR: It is found that the gene suppression mechanism will be more stable than full resistance, implying that suppressing the expression of costly genes within a cell is preferable to preventing the acquisition of the mobile element, for the resolution of conflict within a genome.
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Heritability, selection, and the response to selection in the presence of phenotypic measurement error: Effects, cures, and the role of repeated measurements.

TL;DR: This work illustrates how in a continuous trait transient effects with a classical measurement error structure may bias estimates of heritability, selection gradients, and the predicted response to selection, and shows how the inclusion of the corresponding variance components in quantitative genetic models yields unbiased estimates of all quantities of interest.
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Coexistence and cooperation in structured habitats

TL;DR: A minimal ecological framework of microbial population dynamics that exhibits crucial features to show coexistence, finding stable coexistence to be a likely outcome and costly social traits are often stabilized in such an environment—and thus cooperation established.
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Evolutionary demography and quantitative genetics: age-specific survival as a threshold trait

TL;DR: It is shown how this is the most defensible mutational model for age-specific survival and how this, relative to the standard model, predicts delayed senescence and mortality deceleration at late age.