Please use this identifier to cite or link to this item: http://earsiv.odu.edu.tr:8080/xmlui/handle/11489/4807
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dc.contributor.authorRathert, Tulin Cicek-
dc.contributor.authorUckardes, Fatih-
dc.contributor.authorNarinc, Dogan-
dc.contributor.authorAksoy, Tulin-
dc.date.accessioned2024-03-20T13:47:25Z-
dc.date.available2024-03-20T13:47:25Z-
dc.date.issued2011-
dc.identifier.citationRathert, TÇ., Uçkardes, F., Narinç, D., Aksoy, T. (2011). Comparision of Principal Component Regression with the Least Square Method in Prediction of Internal Egg Quality Characteristics in Japanese Quails. Kafkas Univ. Vet. Fak. Derg., 17(5), 687-692en_US
dc.identifier.issn1300-6045-
dc.identifier.issn1309-2251-
dc.identifier.urihttps://www.webofscience.com/wos/woscc/full-record/WOS:000295359100001-
dc.identifier.urihttp://earsiv.odu.edu.tr:8080/xmlui/handle/11489/4807-
dc.descriptionWoS Categories: Veterinary Sciencesen_US
dc.descriptionWeb of Science Index: Science Citation Index Expanded (SCI-EXPANDED)en_US
dc.descriptionResearch Areas: Veterinary Sciencesen_US
dc.description.abstractThe purpose of this study is to determine the inner egg quality characteristics albumen height, albumen width, albumen length, yolk diameter and yolk height using principal component regression. For this reason 104 eggs of Japanese quails between the 20(th) and 24(th) week of age were analysed. The birds had not been object of selection and they were paired randomly. The problem of multicollinearity occurs in regression models between independent variables in case of high correlation. In case of multicollinearity, parameter estimations and hypothesis results contradict each other through large standard deviation caused by Least Square method (LS). One of the methods that are applied in such a case is principal component regression (PCR). PCR leads to small standard deviation and more accurate and more reliable regression equations. For this research the external egg quality traits egg weight (X-1), egg width (X-2), egg length (X-3) and shape index (X-4) were used as variables. By processing these variables using LS and PCR the inner egg quality traits albumen height, albumen width, albumen length, yolk diameter and yolk height were estimated. In either method the regression estimating equations of the inner egg quality were significant (P < 0.01). The goodness of fit of the regression estimating equations was 29.24%-68.25% when LS and 29.12%-66.72% when PCR was applied.en_US
dc.description.sponsorshipAkdeniz University [2005.02.0121.005]en_US
dc.language.isoengen_US
dc.publisherKAFKAS UNIV, VETERINER FAKULTESI DERGISI-KARSen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectPrincipal component regression, Multicollinearity, Least square method, Japanese quailen_US
dc.subjectCOTURNIX-COTURNIX-JAPONICA, GENETIC-PARAMETERS, CARCASS TRAITS, BODY-WEIGHTen_US
dc.titleComparision of Principal Component Regression with the Least Square Method in Prediction of Internal Egg Quality Characteristics in Japanese Quailsen_US
dc.typearticleen_US
dc.relation.journalKAFKAS UNIVERSITESI VETERINER FAKULTESI DERGISIen_US
dc.contributor.departmentOrdu Üniversitesien_US
dc.identifier.volume17en_US
dc.identifier.issue5en_US
dc.identifier.startpage687en_US
dc.identifier.endpage692en_US
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