Armando Caballero (Spain Universidade de Vigo)

Quantitative Genetics

• Broschiertes Buch

Produktbeschreibung

This accessible and up-to-date text uses applied examples and model problems to enhance students' understanding of the concepts and applications of quantitative genetics. It provides the most current and in-depth view of the field for researchers and professionals in genetics, genomics, plant and animal breeding, and conservation science.

Produktdetails

• Verlag: Cambridge University Press
• Seitenzahl: 338
• Erscheinungstermin: 23. April 2020
• Englisch
• Abmessung: 239mm x 175mm x 15mm
• Gewicht: 659g
• ISBN-13: 9781108722353
• ISBN-10: 1108722350
• Artikelnr.: 58600233

Autorenporträt

Armando Caballero is Professor of Genetics at Universidade de Vigo, Spain, with research interests in quantitative and population genetics, conservation genetics and evolution. He has served as Associate Editor for the journals Evolution, American Naturalist, Journal of Evolutionary Biology, Genetics Selection Evolution and Heredity.

Inhaltsangabe

Preface; Preface to the Spanish version; 1. Continuous variation; 2. Forces of change in the allele frequencies; 3. Components of phenotypic values and variances; 4. Inbreeding and coancestry; 5. Effective population size; 6. Estimation of genetic values, variances and covariances; 7. Mutation; 8. Consequences of inbreeding; 9. Artificial selection; 10. Natural selection; 11. Genomic analysis of quantitative traits; Solution to the problems and self-assessment questions; Glossary; References; Index.

Rezensionen

'Quantitative genetics as a scientific discipline isn't dead just yet, despite predictions of its demise over many decades. In fact, it is very much alive in the genomics era, across a wide range of disciplines, including plant and animal breeding, evolutionary genetics and human (medical) genetics. Armando Caballero's timely textbook, a translation and update from his Spanish version, combines a description of the theory and methods underlying quantitative trait variation in populations with data examples and applications from modern genome technologies. It is an excellent introduction to the field, and demonstrates once again how population and quantitative genetics theory has stood the test of time and is highly relevant today.' Peter M. Visscher, University of Queensland