Prediction of carcass weight using the morphometry of ankle bones in hair goats

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dc.contributor.authorUstundag, Yasemin
dc.contributor.authorKartal, Mehmet
dc.date.accessioned2024-09-11T19:50:09Z
dc.date.available2024-09-11T19:50:09Z
dc.date.issued2024
dc.departmentİstanbul Gelişim Üniversitesien_US
dc.description.abstractBacgroundMorphologic measurements such as body lenght, wither height, heart girth, chest width, body leght, cannon-bone circumference is used to predict carcass weight. For this purpose, estimating carcass weight with measurements of key bones such as ankle bones, which play a significant role in the balance distribution of body weight, seems possible.ObjectivesThe aim of this study is to create new regression models for effective carcass weight estimation by using the morphometric data of the talus and calcaneus bones of hair goats.MethodsStudy materials consisted of talus and calcaneus bones obtained from abattoir products of hair goat kids (12-18 months old, 20 female and 20 male) and adult hair goats (36-48 months old, 20 female and 20 male). Morphometric measurements of the talus and calcaneus of each animal were taken by a digital caliper. Using the morphometric measurements, an index and a factor were calculated for each bone. Regression analysis and correlations were examined in IBM SPSS 21 programme.ResultsAs a result, statistical analysis of GLc, GLt, Bd, Calfactor and Talfactor were statistically significant on predicting carcass weight.ConclusionSpecific anatomical structures, such as certain bone measurements, such as talus and calnaneus could serve as indicators of growth performance and also carcass weight performance. In addition new anatomical factors and indices may be produced and new regression methods may be applied with these new parameters to predict carcass weight. The study investigated the relationship between age, sex and carcass weight in hair goats through morphometric measurements of the talus and calcaneus bones. Significant correlations were found between bone measurements (GLc and GLt) and carcass weight, with regression models predicting carcass weight with 85% accuracy. Age significantly influenced morphometric measurements, whereas sex did not significantly affect both morphometric measurements and predicting carcass weight. imageen_US
dc.identifier.doi10.1002/vms3.1544
dc.identifier.issn2053-1095
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-85198752928en_US
dc.identifier.urihttps://doi.org/10.1002/vms3.1544
dc.identifier.urihttps://hdl.handle.net/11363/7571
dc.identifier.volume10en_US
dc.identifier.wosWOS:001272141400003en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherWileyen_US
dc.relation.ispartofVeterinary Medicine And Scienceen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.snmz20240903_Gen_US
dc.subjectcalcaneusen_US
dc.subjectcarcass weighten_US
dc.subjecthair goaten_US
dc.subjectregressionen_US
dc.subjecttalusen_US
dc.titlePrediction of carcass weight using the morphometry of ankle bones in hair goatsen_US
dc.typeArticleen_US

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