Home LiteratureArticle Details
PMID: 497331 Published · ppublish English Journal Article Research Support, U.S. Gov't, P.H.S.

Some models of genetic selection.

Biometrics ·Vol. 35 ·No. 1 ·1979-03-00 ·Pages 119-37

Pollak E

Abstract

This paper begins with a description of the classical theory of viability selection in which probabilities that individuals of various genotypes survive are in proportions that do not change with time and are independent of population structure. Salient features of viability selection with one and two loci are reviewed. This theory is intimately connected with the usual theory of mass selection in quantitative genetics. It is well known that the mean of the relative viabilities does not necessarily increase if there is viability selection at more than one locus. It also turns out that if there is selection for fecundity with one locus, the mean fecundity may steadily decrease or oscillate rather than increase. This and the fact that a Hardy-Weinberg structure may no longer exist at any stage of life may have a bearing on predicting progress from artificial selection on reproductive characters. Classical viability selection theory does not completely describe natural selection. Other possibilities are discussed. Among these is the density and frequency dependent selection induced when the population lives in a limited habitat. Implications in quantitative genetics are discussed.

MeSH Terms
Alleles Fertility Gene Frequency Humans Mathematics Models, Genetic Selection, Genetic
Authors & Affiliations
1 authors, click to expand affiliations / ORCID
Pollak E
Article Info
Journal
Biometrics
Abbr.
Biometrics
ISSN
0006-341X
Published
1979-03-00
Pages
119-37
Language
English
Region
United States
NLM ID
0370625
Subset
IM
Analysis Services
Analysis Services

Contact

No. 2 Wenbo Road, Zhangqiu District, Jinan, Shandong

Qilu Normal University · Genelibs Bioinformatics Lab

750 Shunhua Rd, Jinan

2F, Bldg F, University Science Park

Tel: 0531-88819269

WeChat Official Account

Follow our WeChat subscription account for real-time updates and the latest in medical and biological research.


Business Email

E-mail: product@genelibs.com