Quantitative Genetics
Autor Armando Caballeroen Limba Engleză Paperback – 22 apr 2020
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Cambridge University Press – 22 apr 2020 | 314.21 lei 3-5 săpt. | |
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Specificații
ISBN-13: 9781108722353
ISBN-10: 1108722350
Pagini: 338
Ilustrații: 101 b/w illus. 43 tables
Dimensiuni: 170 x 244 x 16 mm
Greutate: 0.64 kg
Editura: Cambridge University Press
Colecția Cambridge University Press
Locul publicării:Cambridge, United Kingdom
ISBN-10: 1108722350
Pagini: 338
Ilustrații: 101 b/w illus. 43 tables
Dimensiuni: 170 x 244 x 16 mm
Greutate: 0.64 kg
Editura: Cambridge University Press
Colecția Cambridge University Press
Locul publicării:Cambridge, United Kingdom
Cuprins
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.
Recenzii
'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
'Armando Caballero's work is a masterful tour through both evolutionary and applied quantitative genetics. It provides a fruitful and unusual blend of population and quantitative genetics, and it will be extremely useful for anyone who wants to learn more about either of these fields.' Michael Whitlock, University of British Columbia
'As the field within genetics having arguably the deepest history, quantitative genetics continues as a lively endeavour advancing understanding of the inheritance and change of traits that are continuous in their distributions and complex in the genetic and environmental influences on them. I welcome Caballero's text for new generations of students coming up to speed in this important and challenging field. The problems and questions concluding each chapter will especially aid them in testing their growing understanding. This text will also serve as a valuable resource for established practitioners of quantitative genetics.' Ruth G. Shaw, University of Minnesota
'Armando Caballero's work is a masterful tour through both evolutionary and applied quantitative genetics. It provides a fruitful and unusual blend of population and quantitative genetics, and it will be extremely useful for anyone who wants to learn more about either of these fields.' Michael Whitlock, University of British Columbia
'As the field within genetics having arguably the deepest history, quantitative genetics continues as a lively endeavour advancing understanding of the inheritance and change of traits that are continuous in their distributions and complex in the genetic and environmental influences on them. I welcome Caballero's text for new generations of students coming up to speed in this important and challenging field. The problems and questions concluding each chapter will especially aid them in testing their growing understanding. This text will also serve as a valuable resource for established practitioners of quantitative genetics.' Ruth G. Shaw, University of Minnesota
Notă biografică
Descriere
An up-to-date, accessible guide to the main concepts and applications of quantitative genetics.