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Evolution and the genetics of populations. Vol. 1. Genetic and biométrie foundations.

S. Wright
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The article was published on 1968-01-01 and is currently open access. It has received 445 citations till now.

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Book ChapterDOI

Biological evolution through mutation, selection, and drift: An introductory review

TL;DR: The terminology and recapitulate the basic models of population genetics, which describe the evolution of the composition of a population under the joint action of the various evolutionaryforces, specify the ingredients explicitly, namely, the various mutation models and fitness landscapes.
Journal ArticleDOI

How informative is Wright's estimator of the number of genes affecting a quantitative character?

TL;DR: The utility and problems of the estimator m of the number of loci contributing to the difference in a quantitative character between two differentiated populations, which is calculated from the phenotypic means and variances in the two parental populations, are examined.
Journal ArticleDOI

Reproductive patterns in annual legume species on an aridity gradient

TL;DR: Reproductive patterns are analysed in annual legumes of west Asia, and their relationships to increasing aridity determined by multivariate analysis are shown to be partially substitutable in terms of their effect on survival and population growth.
Journal ArticleDOI

Demographic and evolutionary responses to selective harvesting in populations with discrete generations

TL;DR: In this article, the authors explore the evolutionary and demographic consequences of size-selective harvesting and natural selection in populations with discrete, nonoverlapping generations and find that all combinations of phenotypic criteria and demographic goals can produce evolutionary changes in equilibrium mean size and abundance when harvesting is size selective.
Journal ArticleDOI

Quantitative genetic variation: a post-modern view

TL;DR: Molecular analysis of QTL suggests that coding variants underlie a fraction of quantitative variation and that variants that affect gene expression have a substantial role, supported by genomic experiments that combine expression profiling with classical genetic mapping approaches to reveal a remarkable wealth of quantitative heritable variation in the transcriptome.