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dc.contributor.authorKelly, John K.
dc.date.accessioned2018-06-07T18:58:30Z
dc.date.available2018-06-07T18:58:30Z
dc.date.issued2009-04
dc.identifier.citationKelly, J. K. (2009). CONNECTING QTLS TO THE G-MATRIX OF EVOLUTIONARY QUANTITATIVE GENETICS. Evolution; International Journal of Organic Evolution, 63(4), 813–825. http://doi.org/10.1111/j.1558-5646.2008.00590.xen_US
dc.identifier.urihttp://hdl.handle.net/1808/26457
dc.descriptionThis is the peer reviewed version of the following article: Kelly, J. K. (2009), CONNECTING QTLS TO THE G‐MATRIX OF EVOLUTIONARY QUANTITATIVE GENETICS. Evolution, 63: 813-825. doi:10.1111/j.1558-5646.2008.00590.x, which has been published in final form at http://doi.org/10.1111/j.1558-5646.2008.00590.x. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.en_US
dc.description.abstractEvolutionary quantitative genetics has recently advanced in two distinct streams. Many biologists address evolutionary questions by estimating phenotypic selection and genetic (co)variances (G matrices). Simultaneously, an increasing number of studies have applied quantitative trait locus (QTL) mapping methods to dissect variation. Both conceptual and practical difficulties have isolated these two foci of quantitative genetics. A conceptual integration follows from the recognition that QTL allele frequencies are the essential variables relating the G-matrix to marker-based mapping experiments. Breeding designs initiated from randomly selected parental genotypes can be used to estimate QTL-specific genetic (co)variances. These statistics appropriately distill allelic variation and provide an explicit population context for QTL mapping estimates. Within this framework, one can parse the G-matrix into a set of mutually exclusive genomic components and ask whether these parts are similar or dissimilar in their respective features, for example the magnitude of phenotypic effects and the extent and nature of pleiotropy. As these features are critical determinants of sustained response to selection, the integration of QTL mapping methods into G-matrix estimation can provide a concrete, genetically based experimental program to investigate the evolutionary potential of natural populations.en_US
dc.publisherWileyen_US
dc.subjectEvolvabilityen_US
dc.subjectG-matrixen_US
dc.subjectGenetic covarianceen_US
dc.subjectQTLsen_US
dc.titleConnecting QTLS to the G-Matrix of Evolutionary Quantitative Geneticsen_US
dc.typeArticleen_US
kusw.kuauthorKelly, John K.
kusw.kudepartmentEcology and Evolutionary Biologyen_US
dc.identifier.doi10.1111/j.1558-5646.2008.00590.xen_US
kusw.oaversionScholarly/refereed, author accepted manuscripten_US
kusw.oapolicyThis item meets KU Open Access policy criteria.en_US
dc.rights.accessrightsopenAccessen_US


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