Leading the way in Agriculture and Rural Research, Education and Consulting Incorporating meat quality in sheep breeding programmes: potential of non-invasive technologies N. R. Lambe 1 , N. Clelland 1 , R. Roehe 1 , K.A. McLean 1 , J. Gordon 1 , D. Evans 2 and L. Bunger 1 1 Scotland’s Rural College, Edinburgh, Scotland, UK 2 Wm Morrisons Supermarkets PLC, Bradford, England, UK 1
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Incorporating meat quality in sheep breeding programmesLeading the way in Agriculture and Rural Research, Education and Consulting Incorporating meat quality in sheep breeding programmes:
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Leading the way in Agriculture and Rural Research, Education and Consulting
Incorporating meat quality in sheep breeding programmes: potential of non-invasive technologies
N. R. Lambe1, N. Clelland1, R. Roehe1, K.A. McLean1, J. Gordon1, D. Evans2 and L. Bunger1
1Scotland’s Rural College, Edinburgh, Scotland, UK 2 Wm Morrisons Supermarkets PLC, Bradford, England, UK
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• Genetic selection for lamb meat quality rare
• Difficult / expensive/ time consuming to measure
– Direct tests:
• post-mortem - on relatives, difficult to standardise
• destructive - expensive, not possible on-line
– Predictive tests:
• mainly post-mortem; often destructive / invasive / slow
• Other potential hindrances:
– Data feedback from abattoir; reliable traceability
– On-line implementation
Introduction
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Genetic control of meat quality
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From: J.P. Kerry and David Ledward: Improving the Sensory and Nutritional Quality of Fresh Meat Elsevier, 2009
• Few examples of commercial implementation
– large scale progeny tests (NZ, Australia)
– genomics
– (SRUC “More taste, less waste” industry-led project)
3R2Cal=Coefficient of determintion of calibration.
4R2Val=Coefficient of determination of validation.
Discussion – More taste, less waste
• Can we increase accuracies to predict IMF post-mortem? – VISNIR on fresh cut meat; analysis method – CT on whole carcasses
• Project has produced:
– high accuracy in-vivo phenotypes for IMF
– moderate accuracy post-mortem phenotypes for IMF
– data set to develop SNP-keys for genomic selection
• A combination of in-vivo, post-mortem and genomic predictors could be used to develop a sustainable breeding programme including lamb meat quality traits
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• Clear breeding goals required
– MQ and other traits – multi-trait selection index
– genomic selection + phenotyping
• Need to overcome the barriers to practical implementation
and routine phenotyping
• Move from R&D to
commercial implementation
General discussion
21 Danish Meat Research Institute
Supportive funding of the “More taste, less waste” project came from Innovate UK SRUC receive financial support from the Scottish Government’s Strategic Research Programme Thanks go to: • SRUC CT unit • Wm Morrison’s Woodhead Brothers abattoir in Turriff • Ian Richardson and team, University of Bristol
Acknowledgements
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Leading the way in Agriculture and Rural Research, Education and Consulting