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Quantitative character dynamics: Gametic model

dc.contributor.authorGimelfarb, A.en_US
dc.date.accessioned2006-04-07T17:45:40Z
dc.date.available2006-04-07T17:45:40Z
dc.date.issued1982-12en_US
dc.identifier.citationGimelfarb, 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.urihttp://www.sciencedirect.com/science/article/B6WXD-4F1SCHP-M7/2/5346a018f4167bc70978144e9fe3c922en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/23784
dc.description.abstractA 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.extent2295700 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titleQuantitative character dynamics: Gametic modelen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelNatural Resources and Environmenten_US
dc.subject.hlbsecondlevelMolecular, Cellular and Developmental Biologyen_US
dc.subject.hlbsecondlevelEcology and Evolutionary Biologyen_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, Michigan 48109, U.S.A.en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/23784/1/0000022.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0040-5809(82)90049-1en_US
dc.identifier.sourceTheoretical Population Biologyen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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