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Biblioteca (s) : |
INIA Las Brujas. |
Fecha : |
01/02/2022 |
Actualizado : |
01/02/2022 |
Autor : |
LAMBE, N.R.; NAVAJAS, E.; SCHOFIELD, C.P.; FISHER, A.V.; SIMM, G.; ROEHE, R.; BÜNGER, L. |
Afiliación : |
N.R. LAMBE, a Sustainable Livestock Systems Group, Scottish Agricultural College, King’s Buildings, Edinburgh EH9 3JG, UK; ELLY ANA NAVAJAS VALENTINI, a Sustainable Livestock Systems Group, Scottish Agricultural College, King’s Buildings, Edinburgh EH9 3JG, UK; C.P. SCHOFIELD, Silsoe Livestock Systems Ltd., Wrest Park, Silsoe Bedford MK45 4HS, UK; A.V. FISHER, The University of Bristol, Division of Farm Animal Science, Langford, Bristol BS40 5DU, UK; G. SIMM, Sustainable Livestock Systems Group, Scottish Agricultural College, King’s Buildings, Edinburgh EH9 3JG, UK; R. ROEHE, Sustainable Livestock Systems Group, Scottish Agricultural College, King’s Buildings, Edinburgh EH9 3JG, UK; L. BÜNGER, Sustainable Livestock Systems Group, Scottish Agricultural College, King’s Buildings, Edinburgh EH9 3JG, UK. |
Título : |
The use of various live animal measurements to predict carcass and meat quality in two divergent lamb breeds. |
Fecha de publicación : |
2008 |
Fuente / Imprenta : |
Meat Science, 2008, Volume 80, Issue 4, Pages 1138-1149. doi: https://doi.org/10.1016/j.meatsci.2008.05.026 |
ISSN : |
0309-1740 |
DOI : |
10.1016/j.meatsci.2008.05.026 |
Idioma : |
Inglés |
Notas : |
Article history: Received 12 February 2008; Received in revised form 13 May 2008; Accepted 14 May 2008. |
Contenido : |
ABSTRACT.- 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 = ∼0.8), as well as intra-muscular fat content in the loin (∼0.6), but lower proportions in Blackface lambs (∼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. |
Palabras claves : |
Carcass composition; Computed tomography; Lambs; Meat quality. |
Asunto categoría : |
L10 Genética y mejoramiento animal |
Marc : |
LEADER 02080naa a2200277 a 4500 001 1062721 005 2022-02-01 008 2008 bl uuuu u00u1 u #d 022 $a0309-1740 024 7 $a10.1016/j.meatsci.2008.05.026$2DOI 100 1 $aLAMBE, N.R. 245 $aThe use of various live animal measurements to predict carcass and meat quality in two divergent lamb breeds.$h[electronic resource] 260 $c2008 500 $aArticle history: Received 12 February 2008; Received in revised form 13 May 2008; Accepted 14 May 2008. 520 $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 = ∼0.8), as well as intra-muscular fat content in the loin (∼0.6), but lower proportions in Blackface lambs (∼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. 653 $aCarcass composition 653 $aComputed tomography 653 $aLambs 653 $aMeat quality 700 1 $aNAVAJAS, E. 700 1 $aSCHOFIELD, C.P. 700 1 $aFISHER, A.V. 700 1 $aSIMM, G. 700 1 $aROEHE, R. 700 1 $aBÜNGER, L. 773 $tMeat Science, 2008, Volume 80, Issue 4, Pages 1138-1149. doi: https://doi.org/10.1016/j.meatsci.2008.05.026
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1. | | PRIETO, N.; ROSS D.W.; NAVAJAS, E.; RICHARDSON, R.I.; HYSLOP, J.J.; SIMM, G.; ROEHE, R. Online prediction of fatty acid profiles in crossbred Limousin and Aberdeen Angus beef cattle using near infrared reflectance spectroscopy. Animal, 2011, v.5, no.1, p. 155-165.Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : A - 2 |
Biblioteca(s): INIA Las Brujas. |
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