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Evolution And Selection Of Quantitative Traits Bruce Walsh Michael Lynch

  • SKU: BELL-10001836
Evolution And Selection Of Quantitative Traits Bruce Walsh Michael Lynch
$ 31.00 $ 45.00 (-31%)

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Evolution And Selection Of Quantitative Traits Bruce Walsh Michael Lynch instant download after payment.

Publisher: Oxford University Press, USA
File Extension: PDF
File size: 21.5 MB
Pages: 1496
Author: Bruce Walsh; Michael Lynch
ISBN: 9780198830870, 0198830874
Language: English
Year: 2018

Product desciption

Evolution And Selection Of Quantitative Traits Bruce Walsh Michael Lynch by Bruce Walsh; Michael Lynch 9780198830870, 0198830874 instant download after payment.

Quantitative traits-be they morphological or physiological characters, aspects of behavior, or genome-level features such as the amount of RNA or protein expression for a specific gene-usually show considerable variation within and among populations. Quantitative genetics, also referred to as the genetics of complex traits, is the study of such characters and is based on mathematical models of evolution in which many genes influence the trait and in which non-genetic factors may also be important.
Evolution and Selection of Quantitative Traitspresents a holistic treatment of the subject, showing the interplay between theory and data with extensive discussions on statistical issues relating to the estimation of the biologically relevant parameters for these models. Quantitative genetics is viewed as the bridge between complex mathematical models of trait evolution and real-world data, and the authors have clearly framed their treatment as such. This is the second volume in a planned trilogy that summarizes the modern field of quantitative genetics, informed by empirical observations from wide-ranging fields (agriculture, evolution, ecology, and human biology) as well as population genetics, statistical theory, mathematical modeling, genetics, and genomics. Whilst volume 1 (1998) dealt with the genetics of such traits, the main focus of volume 2 is on their evolution, with a special emphasis on detecting selection (ranging from the use of genomic and historical data through to ecological field data) and examining its consequences.

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