Incorporating meat quality in sheep breeding programmes: potential of non-invasive technologies

NR Lambe, N Clelland, R Roehe, KA McLean, John Gordon, D Evans, L Bunger

Research output: Contribution to conferencePaper

Abstract

Genetic selection for sheep meat quality is rare, due to difficulties in measuring these traits within practical breeding programmes. Non-invasive methods to predict lamb meat quality in vivo and post-mortem have been investigated, and results indicate scope for their commercial implementation. UK research has examined relationships between meat quality traits and parameters resulting from x-ray computed tomography (CT) scanning, which is routinely implemented in UK terminal sire breeding. CT is poor at predicting mechanical tenderness in vivo (R2 < 15%), across various sheep populations. However, CT can predict intramuscular fat (IMF) with accuracies ranging from 33-70% in live lambs of different breeds, providing a unique in-vivo predictor of meat quality. In vivo CT-predicted IMF is moderately heritable (h2 0.31) and its genetic control differs from total carcass fat (rg 0.68), suggesting potential for its improvement within a multi-trait selection index. Novel methodologies have also been tested using CT and visible and near-infrared spectroscopy (NIR) to analyse chilled and vacuum-packed meat samples post-mortem, allowing their return to the food chain. Lamb loin cuts from commercial carcasses (n=303), varying in fat and conformation grades, were scanned by CT and NIR in vacuum packs, then tested for IMF, tenderness and by a trained UK taste panel. CT parameters predicted IMF with moderate accuracy (R2 36%), but did not accurately predict shear force or sensory traits. NIR predicted IMF in unpackaged meat with moderate accuracy, but predictions were poor in vacuum-packed meat. Samples predicted by CT as having >3% IMF scored significantly higher for sensory eating quality than those predicted as <3% IMF. Work is underway to incorporate CT-predicted IMF, as a proxy for meat quality, into UK breeding programmes for terminal sire sheep, in which IMF is known to be low as a consequence of selection for lean carcasses.
Original languageEnglish
Pages638
Publication statusPrint publication - 2016
EventAnnual meeting of the European Federation of Animal Science - Belfast, United Kingdom
Duration: 29 Aug 20162 Sep 2016
Conference number: 67
http://www.eu-plf.eu/wp-content/uploads/Belfast_2016_Abstracts.pdf

Conference

ConferenceAnnual meeting of the European Federation of Animal Science
Abbreviated titleEAAP
CountryUnited Kingdom
CityBelfast
Period29/08/162/09/16
Internet address

Fingerprint

meat quality
computed tomography
sheep
breeding
sires
sheep meat
lamb meat
X-radiation
ingestion
methodology

Cite this

Lambe, NR., Clelland, N., Roehe, R., McLean, KA., Gordon, J., Evans, D., & Bunger, L. (2016). Incorporating meat quality in sheep breeding programmes: potential of non-invasive technologies. 638. Paper presented at Annual meeting of the European Federation of Animal Science, Belfast, United Kingdom.
Lambe, NR ; Clelland, N ; Roehe, R ; McLean, KA ; Gordon, John ; Evans, D ; Bunger, L. / Incorporating meat quality in sheep breeding programmes: potential of non-invasive technologies. Paper presented at Annual meeting of the European Federation of Animal Science, Belfast, United Kingdom.
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Lambe, NR, Clelland, N, Roehe, R, McLean, KA, Gordon, J, Evans, D & Bunger, L 2016, 'Incorporating meat quality in sheep breeding programmes: potential of non-invasive technologies' Paper presented at Annual meeting of the European Federation of Animal Science, Belfast, United Kingdom, 29/08/16 - 2/09/16, pp. 638.

Incorporating meat quality in sheep breeding programmes: potential of non-invasive technologies. / Lambe, NR; Clelland, N; Roehe, R; McLean, KA; Gordon, John; Evans, D; Bunger, L.

2016. 638 Paper presented at Annual meeting of the European Federation of Animal Science, Belfast, United Kingdom.

Research output: Contribution to conferencePaper

TY - CONF

T1 - Incorporating meat quality in sheep breeding programmes: potential of non-invasive technologies

AU - Lambe, NR

AU - Clelland, N

AU - Roehe, R

AU - McLean, KA

AU - Gordon, John

AU - Evans, D

AU - Bunger, L

PY - 2016

Y1 - 2016

N2 - Genetic selection for sheep meat quality is rare, due to difficulties in measuring these traits within practical breeding programmes. Non-invasive methods to predict lamb meat quality in vivo and post-mortem have been investigated, and results indicate scope for their commercial implementation. UK research has examined relationships between meat quality traits and parameters resulting from x-ray computed tomography (CT) scanning, which is routinely implemented in UK terminal sire breeding. CT is poor at predicting mechanical tenderness in vivo (R2 < 15%), across various sheep populations. However, CT can predict intramuscular fat (IMF) with accuracies ranging from 33-70% in live lambs of different breeds, providing a unique in-vivo predictor of meat quality. In vivo CT-predicted IMF is moderately heritable (h2 0.31) and its genetic control differs from total carcass fat (rg 0.68), suggesting potential for its improvement within a multi-trait selection index. Novel methodologies have also been tested using CT and visible and near-infrared spectroscopy (NIR) to analyse chilled and vacuum-packed meat samples post-mortem, allowing their return to the food chain. Lamb loin cuts from commercial carcasses (n=303), varying in fat and conformation grades, were scanned by CT and NIR in vacuum packs, then tested for IMF, tenderness and by a trained UK taste panel. CT parameters predicted IMF with moderate accuracy (R2 36%), but did not accurately predict shear force or sensory traits. NIR predicted IMF in unpackaged meat with moderate accuracy, but predictions were poor in vacuum-packed meat. Samples predicted by CT as having >3% IMF scored significantly higher for sensory eating quality than those predicted as <3% IMF. Work is underway to incorporate CT-predicted IMF, as a proxy for meat quality, into UK breeding programmes for terminal sire sheep, in which IMF is known to be low as a consequence of selection for lean carcasses.

AB - Genetic selection for sheep meat quality is rare, due to difficulties in measuring these traits within practical breeding programmes. Non-invasive methods to predict lamb meat quality in vivo and post-mortem have been investigated, and results indicate scope for their commercial implementation. UK research has examined relationships between meat quality traits and parameters resulting from x-ray computed tomography (CT) scanning, which is routinely implemented in UK terminal sire breeding. CT is poor at predicting mechanical tenderness in vivo (R2 < 15%), across various sheep populations. However, CT can predict intramuscular fat (IMF) with accuracies ranging from 33-70% in live lambs of different breeds, providing a unique in-vivo predictor of meat quality. In vivo CT-predicted IMF is moderately heritable (h2 0.31) and its genetic control differs from total carcass fat (rg 0.68), suggesting potential for its improvement within a multi-trait selection index. Novel methodologies have also been tested using CT and visible and near-infrared spectroscopy (NIR) to analyse chilled and vacuum-packed meat samples post-mortem, allowing their return to the food chain. Lamb loin cuts from commercial carcasses (n=303), varying in fat and conformation grades, were scanned by CT and NIR in vacuum packs, then tested for IMF, tenderness and by a trained UK taste panel. CT parameters predicted IMF with moderate accuracy (R2 36%), but did not accurately predict shear force or sensory traits. NIR predicted IMF in unpackaged meat with moderate accuracy, but predictions were poor in vacuum-packed meat. Samples predicted by CT as having >3% IMF scored significantly higher for sensory eating quality than those predicted as <3% IMF. Work is underway to incorporate CT-predicted IMF, as a proxy for meat quality, into UK breeding programmes for terminal sire sheep, in which IMF is known to be low as a consequence of selection for lean carcasses.

M3 - Paper

SP - 638

ER -

Lambe NR, Clelland N, Roehe R, McLean KA, Gordon J, Evans D et al. Incorporating meat quality in sheep breeding programmes: potential of non-invasive technologies. 2016. Paper presented at Annual meeting of the European Federation of Animal Science, Belfast, United Kingdom.