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Please use this identifier to cite or link to this item: http://hdl.handle.net/10198/7591

Título: Predicting the carcass composition of lambs by a simultaneous equations model
Autor: Cadavez, Vasco
Palavras-chave: Carcass
Lambs
Quality
Simultaneous equations
Issue Date: 2010
Editora: The National Institute of Research and Development for Biology and Animal Nutrition
Citação: Cadavez, Vasco (2010) - Predicting the carcass composition of lambs by a simultaneous equations model. In 9th International Symposium of Animal Biology and Nutrition. Bucharest
Resumo: The objective of this study was to develop models to predict lamb carcass composition by simultaneous equations model (SEM), and to compare t he efficiency of the ordinary least squares (OLS), weight least squares (WLS), and seemingly unrelated regressions (SUR) estimators. Forty male lambs, 22 of Churro Galego Bragançano Portuguese local breed and 18 of Suffolk breed were used. Lambs were slaughtered and carcasses were weighed approximately 30 min after slaughter in order to obtain hot carcass weight (HCW). After cooling at 4°C for 24-h, the subcutaneous fat thickness measurement (C3) was taken between the 12th and 13th ribs. The left side of al l carcasses was dissected into muscle, subcutaneous fat, intermuscular fat, bone, and remainder (major blood vessels, ligaments, tendons, and thick connective tissue sheets associated with muscles). The carcasses lean meat percentage (LMP), total fat percentage (FP), and bone percentage (BP) were calculated. A SEM model was fited by OLS, WLS and SUR estimators. Models fitting quality was evaluated by the coefficient of determination, the root mean square error, and Log-likelihood statistic. This study shows that SUR estimates are consistently better than the OLS and WLS estimates for modeling the carcass composition of lambs, and this trend was noticeably visible for the LMP.
Arbitragem científica: yes
URI: http://hdl.handle.net/10198/7591
Appears in Collections:CA - Resumos em Proceedings Não Indexados ao ISI

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