Journal Article


Donagh P. Berry
David A. Kenny
Michael G. Keane
Mark McGee
Michael J Drennan
S. B. Conroy



prediction equations beef cattle beef carcass the european union grass silage holstein friesian carcass dissection carcass classification

Predicting beef carcass meat, fat and bone proportions from carcass conformation and fat scores or hindquarter dissection (2009)

Abstract Equations for predicting the meat, fat and bone proportions in beef carcasses using the European Union carcass classificationscores for conformation and fatness, and hindquarter composition were developed and their accuracy was tested using data from 662cattle. The animals included bulls, steers and heifers, and comprised of Holstein–Friesian, early- and late-maturing breeds x Holstein–Friesian, early-maturing X early-maturing, late-maturing X early-maturing and genotypes with 0.75 or greater late-maturing ancestry. Bulls, heifers and steers were slaughtered at 15, 20 and 24 months of age, respectively. The diet offered before slaughter includes grass silage only, grass or maize silage plus supplementary concentrates, or concentrates offered ad libitum plus 1 kg of roughage drymatter per head daily. Following the slaughter, carcasses were classified mechanically for conformation and fatness (scale 1 to 15), and the right side of each carcass was dissected into meat, fat and bone. Carcass conformation score ranged from 4.7 to 14.4, 5.4 to 10.9 and 2.0 to 12.0 for bulls, heifers and steers, respectively; the corresponding ranges for fat score were 2.7 to 11.5, 3.2 to 11.3 and 2.8 to 13.3. Prediction equations for carcass meat, fat and bone proportions were developed using multiple regression, with carcass conformation and fat score both included as continuous independent variables. In a separate series of analyses, theindependent variable in the model was the proportion of the trait under investigation (meat, fat or bone) in the hindquarter. In both analyses, interactions between the independent variables and gender were tested. The predictive ability of the developed equations was assed using cross-validation on all 662 animals. Carcass classification scores accounted for 0.73, 0.67 and 0.71 of the total variation in carcass meat, fat and bone proportions, respectively, across all 662 animals. The corresponding values using hindquartermeat, fat and bone in the model were 0.93, 0.87 and 0.89, respectively. The bias of the prediction equations when applied across allanimals was not different from zero, but bias did exist among some of the genotypes of animals present. In conclusion, carcassclassification scores and hindquarter composition are accurate and efficient predictors of carcass meat, fat and bone proportions.
Collections Ireland -> Teagasc -> Livestock Systems
Ireland -> Teagasc -> Animal & Bioscience
Ireland -> Teagasc -> Animal & Grassland Research & Innovation Programme
Ireland -> Teagasc -> Food Chemistry & Technology
Ireland -> Teagasc -> Food Programme

Full list of authors on original publication

Donagh P. Berry, David A. Kenny, Michael G. Keane, Mark McGee, Michael J Drennan, S. B. Conroy

Experts in our system

D P Berry
Total Publications: 243
D.A. Kenny
Total Publications: 147
Michael G. Keane
Total Publications: 50
Mark McGee
Total Publications: 81
S Conroy
Total Publications: 7