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Home ebooks Population Genetics and Ecology

Population Genetics and Ecology

Population Genetics and Ecology is a collection of papers presented at a 1975 conference-workshop held in Israel and is devoted to topics in population genetics and ecology. Contributors discuss topics related to population genetics and ecology, including the determinants of genetic variation in natural populations; experimental design and analysis of field and laboratory data; and theory and applications of mathematical models in population genetics. The book describes a number of field and laboratory studies that focus on a variety of spatial and temporal character and enzyme frequency patterns in natural populations, along with possible associations between these patterns and ecological parameters. This volume is organized into three sections encompassing 31 chapters and begins by summarizing the results of field and laboratory research that investigated gene frequency patterns in space and time of animal and plant populations. This book then explains the origin of new taxa; animal and plant domestication; variation in heritability related to parental age; and problems in the genetics of certain haplo-diploid populations. The next section offers a combination of data analyses and interpretations of related models, with some papers devoted to the origin of race formation and the interaction between sexual selection and natural selection. Among the theoretical studies presented are facets of selection migration interaction; stochastic selection effects; properties of density and frequency dependent selection; concepts and measures of genetic distance and speciation; aspects of altruism; and kin selection. This book will be of interest to naturalists, experimentalists, theoreticians, statisticians, and mathematicians.

Publication Language

English

Publication Access Type

Premium

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Publisher

Elsevier

Publication Year

*

Publication Type

ebooks

ISBN/ISSN

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Publication Category

Genetics

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SKU: Elsevier-9780123985606 Category: ebooks Tag: Life Science
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