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Evolutionary Quantitative Genetics
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Evolutionary Quantitative Genetics

Softcover reprint of the original 1st ed. 1997

Book Details

Format Paperback / Softback
ISBN-10 041212971X
ISBN-13 9780412129711
Edition Softcover reprint of the original 1st ed. 1997
Publisher Chapman and Hall
Imprint Chapman and Hall
Country of Manufacture GB
Country of Publication GB
Publication Date Jul 31st, 1997
Print length 494 Pages
Weight 736 grams
Dimensions 23.20 x 15.90 x 2.80 cms
Product Classification: EvolutionGenetics (non-medical)
Ksh 39,600.00
Werezi Extended Catalogue 0 in stock

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The impetus for this book arose out of my previous book, The Evolution of Life Histories (Roff, 1992). However, as the book was concerned with the evolution of life histories and traits connected to this, the presence of quantitative genetic variation was an underlying theme throughout.
The impetus for this book arose out of my previous book, The Evolution of Life Histories (Roff, 1992). In that book I presented a single chapter on quanti­ tative genetic theory. However, as the book was concerned with the evolution of life histories and traits connected to this, the presence of quantitative genetic variation was an underlying theme throughout. Much of the focus was placed on optimality theory, for it is this approach that has proven to be extremely successful in the analysis of life history variation. But quantitative genetics cannot be ig­ nored, because there are some questions for which optimality approaches are inappropriate; for example, although optimality modeling can address the ques­ tion of the maintenance of phenotypic variation, it cannot say anything about genetic variation, on which further evolution clearly depends. The present book is, thus, a natural extension of the first. I have approached the problem not from the point of view of an animal or plant breeder but from that of one interested in understanding the evolution of quantitative traits in wild populations. The subject is large with a considerable body of theory: I generally present the assumptions underlying the analysis and the results, giving the relevant references for those interested in the intervening mathematics. My interest is in what quantitative genetics tells me about evolutionary processes; therefore, I have concentrated on areas of research most relevant to field studies.

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