Pares Casanova, P. (2014). Area of Origin, But Not Farm or Sex, Predicts Horse Carcass Weight as a Main Effect. Iranian Journal of Applied Animal Science, 4(2), 429-432.
P.M. Pares Casanova. "Area of Origin, But Not Farm or Sex, Predicts Horse Carcass Weight as a Main Effect". Iranian Journal of Applied Animal Science, 4, 2, 2014, 429-432.
Pares Casanova, P. (2014). 'Area of Origin, But Not Farm or Sex, Predicts Horse Carcass Weight as a Main Effect', Iranian Journal of Applied Animal Science, 4(2), pp. 429-432.
Pares Casanova, P. Area of Origin, But Not Farm or Sex, Predicts Horse Carcass Weight as a Main Effect. Iranian Journal of Applied Animal Science, 2014; 4(2): 429-432.
Area of Origin, But Not Farm or Sex, Predicts Horse Carcass Weight as a Main Effect
Department of Animal Production, University of Lleida, Av. Alcalde Rovira Roure, 191 25700 Lleida, Catalunya, Spain
Receive Date: 10 May 2013,
Revise Date: 01 June 2013,
Accept Date: 15 June 2013
Abstract
The aim of this study was to evaluate the differences between cold carcass weights (CCW) for the Catalan Pyrenean horse (Cavall pirinenc català) breed according to different variables: area of origin, farm, gender and age. Linear regression models were applied using a generalized linear model (GLM) procedure for CCW of 397 animals (217 males and 180 females) slaughtered in a commercial abattoir. Fixed effects GLMs included age, gender, farm and area of origin, and their interactions. The best model for explaining CCW included area of origin only (ßorigin=0.02541, Wi=0.67, R2=0.0518) thus indicating that sex and farm were not important explanatory variables, as might have been expected. This information may be useful for obtaining better estimates of carcass weight of this breed for carcasses from specific breeding areas.
Akaike H. (1973). Information theory and an extension of the maximum likelihood principle. Pp 267-281 in Proc 2nd Int. Symp. Budapest, Hungary. Burnham K.P. and Anderson D.R. (2002). Model Selection and Multimodel Inference: A Aractical Information-Theoretic Approach. New York: Springer-Verlag. De Smet S., Raes K. and Demeyer D. (2004). Meat fatty acid composition as affected by fatness and genetic factors: a review. Ann. Res.53, 81-98. Johnson D.H. (2002). The role of hypothesis testing in wildlife science. J. Wildl. Manage.66, 272-276. Littell R.C., Milliken G.A., Stroup W.W., Wolfinger R.D. and Schabenberger O. (2006). SAS for Mixed Models. Cary (NC): SAS Institute Inc. USA. Tateo A., De Palo A., Ceci E. and Centoducati P. (2008).Physicochemical properties of meat of Italian Heavy Draft horses slaughtered at the age of eleven months.J. Anim. Sci.86(5), 1205-1214. Wood J.D., Enser M., Fisher A.V., Nute G.R., Sheard P.R. and Richardson R.I. (2008). Fat deposition, fatty acid composition and meat quality: a review. Meat Sci.78, 343-358. Wood J.D., Nute G.R., Richardson R.I., Whittington F.M., Southwood O. and Plastow G. (2004). Effects of breed, diet and muscle on fat deposition and eating quality in pigs. Meat Sci.67, 651-667.
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