Evolutionary quantitative genetics
Evolutionary quantitative genetics (EQG) provides a formal theoretical foundation for quantitatively linking natural selection and genetic variation to the rate and expanse of adaptive evolution. It has become the dominant conceptual framework for interpreting the evolution of quantitative traits in...
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Oxford, United Kingdom
Oxford University Press
[2023]
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| 245 | 1 | 0 | |a Evolutionary quantitative genetics |c Stevan J. Arnold, Professor Emeritus, Oregon State University |
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| 520 | |a Evolutionary quantitative genetics (EQG) provides a formal theoretical foundation for quantitatively linking natural selection and genetic variation to the rate and expanse of adaptive evolution. It has become the dominant conceptual framework for interpreting the evolution of quantitative traits in terms of elementary forces (mutation, inheritance, selection, and drift). Despite this success, the relevance of EQG to many biological scenarios remains relativelyunappreciated, with numerous fields yet to fully embrace its approach. Part of the reason for this lag is that conceptual advances in EQG have not yet been fully synthesized and made accessible to a wider academic audience. A comprehensive, accessible overview is therefore now timely, and EvolutionaryQuantitative Genetics provides this much-needed synthesis.The central argument of the book is that an adaptive landscape concept can be used to understand both evolutionary process within lineages and the pattern of adaptive radiations. In particular, it provides a convincing argument that models with a moving adaptive peak carry us further than any other conceptual approach yet devised. Although additive theory holds center stage, the book mentions and references departures from additivity including non-Gaussian distributions of allelic effects,dominance, epistasis, maternal effects and phenotypic plasticity. This accessible, advanced textbook is aimed principally at students (from senior undergraduate to postgraduate) as well as practising scientists in the fields of evolutionary biology, ecology, physiology, functional morphology, developmental biology, comparative biology, paleontology, and beyond who are interested in how adaptive radiations are produced by evolutionary and ecological processes | ||
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Datensatz im Suchindex
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Arnold, Professor Emeritus, Oregon State University</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Oxford, United Kingdom</subfield><subfield code="b">Oxford University Press</subfield><subfield code="c">[2023]</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">©2023</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">xvii, 478 Seiten</subfield><subfield code="b">Illustrationen, Diagramme</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Evolutionary quantitative genetics (EQG) provides a formal theoretical foundation for quantitatively linking natural selection and genetic variation to the rate and expanse of adaptive evolution. 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| id | DE-604.BV049054066 |
| illustrated | Illustrated |
| indexdate | 2024-12-24T09:48:40Z |
| institution | BVB |
| isbn | 9780192859389 9780192859396 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034316344 |
| oclc_num | 1395977122 |
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| owner | DE-29T DE-11 |
| owner_facet | DE-29T DE-11 |
| physical | xvii, 478 Seiten Illustrationen, Diagramme |
| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| publisher | Oxford University Press |
| record_format | marc |
| spelling | Arnold, Stevan J. Verfasser (DE-588)1306615062 aut Evolutionary quantitative genetics Stevan J. Arnold, Professor Emeritus, Oregon State University Oxford, United Kingdom Oxford University Press [2023] ©2023 xvii, 478 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Evolutionary quantitative genetics (EQG) provides a formal theoretical foundation for quantitatively linking natural selection and genetic variation to the rate and expanse of adaptive evolution. It has become the dominant conceptual framework for interpreting the evolution of quantitative traits in terms of elementary forces (mutation, inheritance, selection, and drift). Despite this success, the relevance of EQG to many biological scenarios remains relativelyunappreciated, with numerous fields yet to fully embrace its approach. Part of the reason for this lag is that conceptual advances in EQG have not yet been fully synthesized and made accessible to a wider academic audience. A comprehensive, accessible overview is therefore now timely, and EvolutionaryQuantitative Genetics provides this much-needed synthesis.The central argument of the book is that an adaptive landscape concept can be used to understand both evolutionary process within lineages and the pattern of adaptive radiations. In particular, it provides a convincing argument that models with a moving adaptive peak carry us further than any other conceptual approach yet devised. Although additive theory holds center stage, the book mentions and references departures from additivity including non-Gaussian distributions of allelic effects,dominance, epistasis, maternal effects and phenotypic plasticity. This accessible, advanced textbook is aimed principally at students (from senior undergraduate to postgraduate) as well as practising scientists in the fields of evolutionary biology, ecology, physiology, functional morphology, developmental biology, comparative biology, paleontology, and beyond who are interested in how adaptive radiations are produced by evolutionary and ecological processes bicssc / Evolution bicssc / Mathematical modelling bicssc / DNA & Genome Mathematisches Modell (DE-588)4114528-8 gnd rswk-swf Populationsgenetik (DE-588)4046804-5 gnd rswk-swf Populationsgenetik (DE-588)4046804-5 s Mathematisches Modell (DE-588)4114528-8 s DE-604 |
| spellingShingle | Arnold, Stevan J. Evolutionary quantitative genetics bicssc / Evolution bicssc / Mathematical modelling bicssc / DNA & Genome Mathematisches Modell (DE-588)4114528-8 gnd Populationsgenetik (DE-588)4046804-5 gnd |
| subject_GND | (DE-588)4114528-8 (DE-588)4046804-5 |
| title | Evolutionary quantitative genetics |
| title_auth | Evolutionary quantitative genetics |
| title_exact_search | Evolutionary quantitative genetics |
| title_full | Evolutionary quantitative genetics Stevan J. Arnold, Professor Emeritus, Oregon State University |
| title_fullStr | Evolutionary quantitative genetics Stevan J. Arnold, Professor Emeritus, Oregon State University |
| title_full_unstemmed | Evolutionary quantitative genetics Stevan J. Arnold, Professor Emeritus, Oregon State University |
| title_short | Evolutionary quantitative genetics |
| title_sort | evolutionary quantitative genetics |
| topic | bicssc / Evolution bicssc / Mathematical modelling bicssc / DNA & Genome Mathematisches Modell (DE-588)4114528-8 gnd Populationsgenetik (DE-588)4046804-5 gnd |
| topic_facet | bicssc / Evolution bicssc / Mathematical modelling bicssc / DNA & Genome Mathematisches Modell Populationsgenetik |
| work_keys_str_mv | AT arnoldstevanj evolutionaryquantitativegenetics |