02080naa a2200277 a 450000100080000000500110000800800410001902200140006002400390007410000160011324501370012926000090026650001080027552011360038365300240151965300240154365300100156765300170157770000160159470000200161070000170163070000130164770000140166070000160167477301120169010627212022-02-01       2008    bl uuuu     u00u1 u    #d  a0309-17407 a10.1016/j.meatsci.2008.05.0262DOI1 aLAMBE, N.R.  aThe use of various live animal measurements to predict carcass and meat quality in two divergent lamb breeds.h[electronic resource]  c2008  aArticle history: Received 12 February 2008; Received in revised form 13 May 2008; Accepted 14 May 2008.  aABSTRACT.- Live weight, subjective scores of condition and conformation, live animal video image analysis (LVIA), ultrasound and X-ray computed tomography (CT) scanning were used to investigate the best method or combination of methods for predicting carcass and meat quality traits in live Texel and Scottish Blackface lambs. Predictors derived from CT alone accounted for a high proportion of the variance in dissected fat and muscle weight in Texel lambs (adjusted R2 = &#8764;0.8), as well as intra-muscular fat content in the loin (&#8764;0.6), but lower proportions in Blackface lambs (&#8764;0.7 for fat, 0.4-0.5 for muscle and intra-muscular fat), after adjusting for sire and fixed effects. Adding traits measured by other in vivo methods increased prediction accuracies (adjusted R2) by up to 0.26, depending on trait and data set. Shear force and ultimate pH could not be accurately predicted using the traits considered here (adjusted R2 < 0.4). Although the same methods tended to be best for predicting product quality traits between breeds, prediction accuracies differed.  © 2008 Elsevier Ltd. All rights reserved.  aCarcass composition  aComputed tomography  aLambs  aMeat quality1 aNAVAJAS, E.1 aSCHOFIELD, C.P.1 aFISHER, A.V.1 aSIMM, G.1 aROEHE, R.1 aBÜNGER, L.  tMeat Science, 2008, Volume 80, Issue 4, Pages 1138-1149. doi: https://doi.org/10.1016/j.meatsci.2008.05.026