Quantitative character dynamics: Gametic model
dc.contributor.author | Gimelfarb, A. | en_US |
dc.date.accessioned | 2006-04-07T17:45:40Z | |
dc.date.available | 2006-04-07T17:45:40Z | |
dc.date.issued | 1982-12 | en_US |
dc.identifier.citation | Gimelfarb, A. (1982/12)."Quantitative character dynamics: Gametic model." Theoretical Population Biology 22(3): 324-366. <http://hdl.handle.net/2027.42/23784> | en_US |
dc.identifier.uri | http://www.sciencedirect.com/science/article/B6WXD-4F1SCHP-M7/2/5346a018f4167bc70978144e9fe3c922 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/23784 | |
dc.description.abstract | A gametic model of quantitative character dynamics is introduced that fills the gap between the two existing models: genic and zygotic/phenotypic. In this model, a gamete is treated as the elementary unit of evolution, all biological processes at the levels below gametic remain unspecified, and a gamete is characterized by its effect on the quantitative character rather than by the genotype. The hereditary and developmental processes are accounted for in a generalized form by gametogenetic and developmental functions defined for a pair of gametic effects representing an individual. A parameterization of these functions is suggested that imposes constraints on the heredity of quantitative characters similar to the constraints imposed by traditional genic models. It is shown that this parameterization can be derived for some polygenic additive models. General expressions for the dynamics of the mean and variance of additive quantitative characters are obtained, and the dynamics under random mating for sex-independent, sex-controlled, and sex-linked characters are considered. Comparisons with the dynamics predicted by genic models are made. | en_US |
dc.format.extent | 2295700 bytes | |
dc.format.extent | 3118 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Elsevier | en_US |
dc.title | Quantitative character dynamics: Gametic model | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Natural Resources and Environment | en_US |
dc.subject.hlbsecondlevel | Molecular, Cellular and Developmental Biology | en_US |
dc.subject.hlbsecondlevel | Ecology and Evolutionary Biology | en_US |
dc.subject.hlbtoplevel | Health Sciences | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, Michigan 48109, U.S.A. | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/23784/1/0000022.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1016/0040-5809(82)90049-1 | en_US |
dc.identifier.source | Theoretical Population Biology | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
Files in this item
Remediation of Harmful Language
The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.
Accessibility
If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.