Evolutionary Quantitative Genetics

Derek A. Roff

ISBN 10: 041212971X / ISBN 13: 9780412129711

Published by Springer US Jul 1997, 1997

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -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. 512 pp. Englisch.

Seller Inventory # 9780412129711

Bibliographic Details

• Title: Evolutionary Quantitative Genetics
• Publisher: Springer US Jul 1997
• Publication Date: 1997
• Language: English
• ISBN 10: 041212971X
• ISBN 13: 9780412129711
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 28D millimeters 235 millimeters width by 155 millimeters height by 28 millimeters depth
• Weight: 768 grams

About this title

Synopsis

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.

Synopsis

This new textbook in quantitative genetics incorporates an evolutionary viewpoint, combining the theoretical basis of quantitative genetics with respect to evolution in natural populations and various statistical methods of analysis. Topics of current research such as genetic correlation and phenotypic plasticity are included. The book addresses the current problems in quantitative genetic evolutionary theory and presents the most commonly used methods of analysis.