,

Recombination Variability and Evolution

Algorithms of estimation and population-genetic models

Gebonden Engels 1994 1994e druk 9780412494109
€ 240,99
Levertijd ongeveer 9 werkdagen
Gratis verzonden

Samenvatting

Using an interdisciplinary approach, the authors provide an adaptionist interpretation of the basic features of recombination, its evolutionary significance as a key process in reproduction and its importance in genetic mapping. The book synthesizes much recent information in the fields of evloutionary genetics of recombination, the analysis of genetic markers and breeding applications. The authors analyse recombination through a consideration of computer models, large Drosophila populations and an empirical approach to current theories. Practically-orientated readers will be interested in the discussion of a wide spectrum of mapping methods and the new algorithms proposed for genetic mapping of quantitative loci.

Specificaties

ISBN13:9780412494109
Taal:Engels
Bindwijze:gebonden
Aantal pagina's:362
Uitgever:Springer Netherlands
Druk:1994

Lezersrecensies

Wees de eerste die een lezersrecensie schrijft!

Inhoudsopgave

The problem of recombination estimation. General survey of methods for estimating recombination variability. Marker analysis. Marker analysis of quantitative traits. Recombination and artificial selection for quantitative traits in segregating generations. Population genetic models of interaction between selection and crossing over. The genetic system and recombination. Effect of linkage and crossing over on population genetic structure and mean fitness. Microevolution of the recombination control system. Selection for recombination in multi-locus systems due to environmental fluctuations. Species interactions as a factor in the evolution of recombination. Evolutionary interpretation of recombination phenomenology. Conclusions. References. Index.

Managementboek Top 100

€ 240,99
Levertijd ongeveer 9 werkdagen
Gratis verzonden

Rubrieken

    Personen

      Trefwoorden

        Recombination Variability and Evolution