株式会社極東書店トップ商品一覧Genetics and Analysis of Quantitative Traits: Foundations. 2nd Revised edition

商品詳細

Genetics and Analysis of Quantitative Traits: Foundations. 2nd Revised edition

Genetics and Analysis of Quantitative Traits: Foundations. 2nd Revised edition

・ISBN 978-0-19-289818-0 hard GB£ 139.00

¥44,035.- (税込) (※)価格はご注文時の参考価格となります。
納品価格につきましては書籍の入荷時点で確定となります。
版元の原価改定、外国為替の変動等により異なる場合がございますので、予めご了承下さい。

お気に入り
電子版あり 大学・学術機関向け電子ブック(eBook)ISBN 9780191924620
著者・編者Walsh, Bruce / Visscher, Peter M. / Lynch, Michael (eds.),
出版社 (Oxford University Press, UK)
出版年月2025
ページ数1184 pp.
言語ENG
ニュース番号<A04-78909>

解説

Almost every trait in nature shows variation, both within populations and between populations and species. The field of quantitative genetics is the very broad umbrella that attempts to separate environmental from genetic sources of variation. As a result, it has powerful applications in animal and plant breeding, evolution, ecology, medicine, anthropology, behaviour, population genetics, conservation biology, genomics, and statistics. This second edition of Genetics and Analysis of Quantitative Traits is a fully rewritten and greatly expanded revision of the first edition, published in 1998, which provided the first, modern, unified treatment of quantitative genetics. In the past two decades, there have been massive advancements in the field coupled with explosive growth in new quantitative methods; those developments are covered in this new edition. The book weaves important biological applications with a full development of the theory and appropriate statistical tools. There are extensive discussions of important linear-algebra tools, linear and mixed models, likelihood and Bayesian estimation, as well as false discovery rates, multiple comparisons, and meta-analysis. More than 100 worked examples (ranging from microbes to humans) illustrate the key concepts using real-world applications. This extensive reference will be suitable for graduate-level students and professional researchers (both empiricists and theoreticians) in the fields of evolutionary biology, genetics, and genomics. It will also be of particular relevance and use to applied evolutionary biologists working in breed improvement for agriculture, human geneticists, and statisticians.