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dc.contributor.authorLambe NRen_US
dc.contributor.authorRoss DWen_US
dc.contributor.authorNavajas EAen_US
dc.contributor.authorHyslop JJen_US
dc.contributor.authorPrieto Nen_US
dc.contributor.authorCraigie Cen_US
dc.contributor.authorBunger Len_US
dc.contributor.authorSimm Gen_US
dc.contributor.authorRoehe Ren_US
dc.date.accessioned2013-09-11T15:06:49Z
dc.date.available2013-09-11T15:06:49Z
dc.date.issued2010en_US
dc.identifier.citation131en_US
dc.identifier.other12717en_US
dc.identifier.urihttp://dx.doi.org/doi:10.1016/j.livsci.2010.03.019en_US
dc.identifier.urihttp://hdl.handle.net/11262/7939
dc.description.abstractUltrasound tissue depths, similar to those measured commercially as part of UK beef genetic evaluation schemes, were measured on 52 crossbred steers and 10 heifers at the start and end of the finishing period (average age 476 and 568 days, respectively). Animals were slaughtered at commercial target weights and carcass grades, and one carcass side fully dissected. Combining live weights and ultrasound tissue depths measured both before and after finishing provided the best predictions of carcass composition. Dissected fat weights and proportions in the carcass side, the forequarter and the hindquarter were predicted with high accuracy (R2∼0.8),muscle weights with moderate accuracy (R2=0.5–0.6), but muscle proportions were less accurately predicted (R2=0.23–0.49). Meat and Livestock Commission (EUROP) carcass conformation and fatness classes could also be predicted with moderate accuracy (R2=0.4 and 0.6, respectively). Fat and muscle weights in each quarter expressed as proportions of the total weight of that tissue in the carcass sidewere not predicted accurately (R2b0.4). Liveweight and ultrasound datameasured only at the start of finishing also gave good predictions of fat proportions in the carcass side and quarters (R2=0.64–0.67), andmoderate predictions of fat and muscle weights and fatness class (R2=0.38– 0.53), but lowprediction accuracies formuscle proportions and conformation classes. In comparison, liveweights and tissue depthsmeasured only at the end of finishing explained 12 to 19%more of the variation in fat weights and fatness class, but predicted muscle weight, conformation class and fat proportions with similar accuracies andmuscle proportions with similar or less accuracy. Including ultrasound fat depths, alongside muscle depth and live weight, in equations to predict muscle weights and proportions increased prediction accuracies to similar values as those estimated for fat traits, but increased confounding between predictions of different tissues. Derived prediction equations were validated on data from another 32 heifers and 48 steers, relating ultrasound-predicted weights to carcass tissue weights predicted from fore-rib sample joint dissections. Prediction accuracies (R2) of between 0.52 and 0.64 were achieved for fat and muscle weights and fat proportion in the carcass side, when the model included post-finishing measurements, butwere lower (0.29–0.52) using only pre-finishingmeasurements. Predictions of muscle proportions and conformation classeswere of poor accuracy, regardless of themodel used. © 2010 Elsevier B.V. All rights reserved.
dc.relation.isformatof12717.pdfen_US
dc.relation.ispartofLivestock Scienceen_US
dc.subjectBeefen
dc.subjectTissue distributionen
dc.subjectPrediction modelsen
dc.subjectUltrasounden
dc.subjectCarcass compositionen
dc.subjectBeefen
dc.titleThe prediction of carcass composition and tissue distribution in beef cattle using ultrasound scanning at the start and/or end of the finishing perioden_US
dc.extent.pageNumbers193en_US
dc.extent.pageNumbers202en_US


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