Regression tree analysis for predicting slaughter weight in broilers

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dc.authoridAKKARTAL, ERKUT/0000-0002-7090-4449
dc.contributor.authorMendes, Mehmet
dc.contributor.authorAkkartal, Erkut
dc.date.accessioned2025-01-27T20:20:46Z
dc.date.available2025-01-27T20:20:46Z
dc.date.issued2009
dc.departmentÇanakkale Onsekiz Mart Üniversitesi
dc.description.abstractIn this study, Regression Tree Analysis (RTA) was used to predict and to determine the most important variables in predicting the slaughter weight of Ross 308 broiler chickens. Data for this study came from 224 chickens raised during three different seasons, namely spring (n=66), summer (n=66), winter (n=92). Second week body weight, shank length, shank width, breast bone length, breast width, breast circumference and body length were used to predict the slaughter weight. Results of RTA showed that among the seven independent variables only four were selected, namely; body weight, breast bone length, shank width, and breast circumference. These selected independent variables were more efficient than the others in predicting the slaughter weight. RTA indicated that the birds which had values of second week body weight >= 295.95 g, breast bone length >55.82 mm and breast circumference >14.18 cm or that of body weight <= 295.95 g, breast bone length >60.26 mm and shank width >8.32 mm could be expected to have higher slaughter weights.
dc.identifier.doi10.4081/ijas.2009.615
dc.identifier.endpage624
dc.identifier.issn1594-4077
dc.identifier.issn1828-051X
dc.identifier.issue4
dc.identifier.scopus2-s2.0-76449119656
dc.identifier.scopusqualityQ1
dc.identifier.startpage615
dc.identifier.urihttps://doi.org/10.4081/ijas.2009.615
dc.identifier.urihttps://hdl.handle.net/20.500.12428/21809
dc.identifier.volume8
dc.identifier.wosWOS:000279535800011
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherTaylor & Francis Ltd
dc.relation.ispartofItalian Journal of Animal Science
dc.relation.publicationcategoryinfo:eu-repo/semantics/openAccess
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WoS_20250125
dc.subjectRegression tree analysis
dc.subjectBody measurement
dc.subjectSlaughter weight
dc.subjectMultiple regression
dc.titleRegression tree analysis for predicting slaughter weight in broilers
dc.title.alternativeRegression tree analysis per la previsione del peso di macellazione nei broiler
dc.typeArticle

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