Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/12421
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dc.contributor.authorParratt, Andrew Christopheren
dc.contributor.authorBarker, James S Fen
dc.date.accessioned2013-04-11T15:42:00Z-
dc.date.created1983en
dc.date.issued1985-
dc.identifier.urihttps://hdl.handle.net/1959.11/12421-
dc.description.abstractThe primary aim of this study was to examine the ability of nonlinear models to describe the weight/age and feed intake/age growth patterns in mice. The objective underlying this examination was to investigate the possibility of utilising the parameters of these models as selection criteria to alter the shape of the growth curves. In association with this primary aim an investigation of the interrelationships between growth, feed intake and the efficiency of growth was undertaken. Phenotypic and genetic analyses for weight, measures of growth rate, fraction of maturity, feed intake and feed efficiency were presented. Marked differences were found for some estimates of heritabilities, genetic and phenotypic correlation when compared with those reported for other studies on mice. A possible explanation, in terms of the differences in fractions of maturity when comparisons are made at similar ages,was proposed. Heritabilities tended to decrease with age for all measures of growth that were considered. Predicted direct and correlated responses to selection for a single generation were examined and the results obtained were consistent with predictions from two genetic models of growth proposed in the literature. ... It was concluded that the parameters of nonlinear models could be used as alternative selection criteria to alter the shape of the growth patterns for mice and possibly domestic livestock species. However, the large amount of data necessary to make accurate predictions on growth, the statistical problems associated with fitting different models and the requirement of an estimate of mature weight prior to selection may make utilising parameters of nonlinear models as selection criteria an unviable proposition.en
dc.languageenen
dc.titleGenetics of Growth in Mice with Particular Reference to the Application of Nonlinear Modelsen
dc.typeThesis Doctoralen
dcterms.accessRightsUNE Greenen
local.contributor.firstnameAndrew Christopheren
local.contributor.firstnameJames S Fen
dcterms.RightsStatementCopyright 1983 - Andrew Christopher Parratten
dc.date.conferred1985en
local.thesis.degreelevelDoctoralen
local.thesis.degreenameDoctor of Philosophyen
local.contributor.grantorUniversity of New Englanden
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.emailsbarker@une.edu.auen
local.output.categoryT2en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordvtls006513450en
local.access.fulltextYesen
local.contributor.lastnameParratten
local.contributor.lastnameBarkeren
dc.identifier.staffune-id:sbarkeren
local.profile.orcid0000-0002-5232-458Xen
local.profile.roleauthoren
local.profile.rolesupervisoren
local.identifier.unepublicationidune:12628en
dc.identifier.academiclevelAcademicen
local.title.maintitleGenetics of Growth in Mice with Particular Reference to the Application of Nonlinear Modelsen
local.output.categorydescriptionT2 Thesis - Doctorate by Researchen
local.thesis.borndigitalnoen
local.search.authorParratt, Andrew Christopheren
local.search.supervisorBarker, James S Fen
local.open.fileurlhttps://rune.une.edu.au/web/retrieve/a9f07afc-d754-420a-ac9f-10e0c19528f0en
local.open.fileurlhttps://rune.une.edu.au/web/retrieve/86325c27-24e1-46a4-bf62-8749df17c89ben
local.open.fileurlhttps://rune.une.edu.au/web/retrieve/bf045f2e-6550-45d8-bb2b-8659e801919den
local.open.fileurlhttps://rune.une.edu.au/web/retrieve/1351cc3d-1942-465e-a596-7232c9438edaen
local.uneassociationYesen
local.year.conferred1985en
local.fileurl.openhttps://rune.une.edu.au/web/retrieve/a9f07afc-d754-420a-ac9f-10e0c19528f0en
local.fileurl.openhttps://rune.une.edu.au/web/retrieve/1351cc3d-1942-465e-a596-7232c9438edaen
local.fileurl.openhttps://rune.une.edu.au/web/retrieve/bf045f2e-6550-45d8-bb2b-8659e801919den
local.fileurl.openhttps://rune.une.edu.au/web/retrieve/86325c27-24e1-46a4-bf62-8749df17c89ben
Appears in Collections:Thesis Doctoral
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