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Breeding for reduced methane emissions in extensive UK sheep systems

  • D. J. COTTLE (a1) and J. CONINGTON (a2)

Selection index theory was used to model the effects of methane (CH4) production in the breeding objective on genetic responses in Scottish Blackface sheep in hill production systems in the UK. A range of economic values (EVs) were assumed for CH4 production calculated from possible carbon prices (£/t CO2 equivalent (CO2-e)). The implicit price of carbon required for maintenance of CH4 levels or to reduce CH4 production by 0·1 kg/head/yr in a hill flock was calculated. The predicted genetic changes in CH4 production from current selection programmes that have an implicit methane EV of zero were calculated. Correlations between production traits and CH4 production were sampled from assumed normal distributions, as these correlations are currently unknown. Methane emissions are likely to increase at a rate of c. 3 kg CO2-e/ewe/yr as a result of using current industry selection indices in hill sheep farming systems in the UK. Breeding objectives for more productive hill sheep include reducing lamb losses and rearing more, heavier lambs. By placing a cost on carbon emissions to halt the genetic increase in methane, heavy penalties will be incurred by farmers in terms of reduced productivity. This amounts to £6/ewe/yr or a 5% discounted loss of £2851 per 100 ewe flock over a 10-year selection horizon. If the correlations between production traits and CH4 are positive (as expected) then an implicit carbon price of c. £272/t CO2-e is required for no genetic increase in CH4 production if methane is not measured and c. £50/t CO2-e if methane could be measured. Achievement of government targets for the whole economy of a 20% reduction in greenhouse gases (GHGs) over a 30-year period would require carbon prices (/t CO2-e) of £1396 (indirect selection) or £296 (direct selection) for the sheep industry to achieve a 20% reduction entirely via a genetic change of c. –0·1 kg methane/head/yr. These carbon prices are placed in the context of possible government policies. A combination of genetic and non-genetic measures will probably be required for cost-effective reduction in methane production to meet government targets.

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Alcock, D. & Hegarty, R. S. (2006). Effects of pasture improvement on productivity, gross margin and methane emissions of a grazing sheep enterprise. International Congress Series 1293, 103106.
Arthur, P. F., Donoghue, K. A., Herd, R. M. & Hegarty, R. S. (2009). The role of animal genetic improvement in reducing greenhouse gas emissions from beef cattle. Proceedings of the Association of Advancement of Animal Breeding and Genetics 18, 472475.
Barnes, A., Bevan, K. & Revoredo-Giha, C. (2011). Raising the Competitiveness of Scotland's Agri-food Industry. SAC Research Report. Aberdeen, UK: Scottish Agricultural College.
Blaxter, K. L. & Clapperton, J. L. (1965). Prediction of the amount of methane produced by ruminants. British Journal of Nutrition 19, 511522.
Box, G. E. P. & Muller, M. E. (1958). A note on the generation of random normal deviates. Annals of Mathematical Statistics 29, 610611.
Committee on Climate Change (CCC) (2010). Opportunities for reducing emissions from agriculture. In Meeting Carbon Budgets – Ensuring a Low-carbon Recovery. Second Progress Report to Parliament Committee on Climate Change 30 June 2010. London: CCC. Available online at (verified 6 December 2011).
Conington, J., Bishop, S. C., Grundy, B., Waterhouse, A. & Simm, G. (2001). Multi-trait selection indexes for sustainable UK hill sheep production. Animal Science 73, 413423.
Conington, J., Bishop, S. C., Waterhouse, A. & Simm, G. (2004). A bioeconomic approach to derive economic values for pasture-based sheep genetic improvement programs. Journal of Animal Science 82, 12901304.
Cottle, D. J., Nolan, J. V. & Wiedemann, S. G. (2011). Ruminant enteric methane mitigation: a review. Animal Production Science 51, 491514.
Cottle, D. J., Van Der Werf, J. H. J. & Banks, R. G. (2009). Is methane production likely to be a future Merino selection criterion? Proceedings of the Australian Association of Advancement of Animal Breeding and Genetics 18, 516519.
Department of Energy and Climate Change (DECC) (2009 a). The UK Low Carbon Transition Plan: National Strategy for Climate and Energy. London: HMSO. Available online at (verified 17 November 2011).
Department of Energy and Climate Change (DECC) (2009 b). Climate Change Act 2008. London: DECC. Available online at (verified 17 November 2011).
Ghavi Hossein-Zadeh, N. & Ardalan, M. (2010). Estimation of genetic parameters for body weight traits and litter size of Moghani sheep, using a Bayesian approach via Gibbs sampling. The Journal of Agricultural Science, Cambridge 148, 363370.
Goopy, J. P., Hegarty, R. S. & Robinson, D. L. (2009). Two hour chamber measurement provides useful estimate of daily methane production in sheep. In Ruminant Physiology. (Eds Chilliard, Y., Glasser, F., Faulconnier, Y., Bocquier, F., Veissier, I. & Doreau, M.), pp. 191192. Wageningen, The Netherlands: Wageningen Academic Publishers.
Harvey, F. & Stratton, A. (2011). Chris Huhne Pledges to Halve UK Carbon Emissions by 2025. London: Guardian News and Media Limited. Available online at (verified 17 November 2011).
Hegarty, R. S. & Mcewan, J. C. (2010). Genetic opportunities to reduce enteric methane emissions from ruminant livestock. In Proceedings of the 9th World Congress on Genetics Applied to Livestock Production (Eds German Society for Animal Science), CD ROM paper 515, pp. 18. Leipzig, Germany: Zwonull Media GbR. Available online at (verified 17 November 2011).
Hegarty, R. S., Alcock, D., Robinson, D. L., Goopy, J. P. & Vercoe, P. E. (2010). Nutritional and flock management options to reduce methane output and methane per unit product from sheep enterprises. Animal Production Science 50, 10261033.
Houghton, J. H. (1997). Global Warming, the Complete Briefing, 2nd edn. Cambridge, UK: Cambridge University Press.
Johnson, D. E., Hill, T. M., Ward, G. M., Johnson, K. A., Branine, M. E., Carmean, B. R. & Lodman, D. W. (1993). Ruminants and other animals. In Atmospheric Methane: Sources, Sinks, and Role in Global Change (ed. Khalil, M. A. K.), pp. 219229. Berlin: Springer-Verlag.
Lambe, N. R., Bunger, L., Bishop, S. C., Simm, G. & Conington, J. (2008). The effects of selection indices for sustainable hill sheep production on carcass composition and muscularity of lambs, measured using X-ray computed tomography. Animal 2, 2735.
Lassey, K. R., Ulyatt, M. J., Martin, R. J., Walker, C. F. & Shelton, I. D. (1997). Methane emissions measured directly from grazing livestock in New Zealand. Atmospheric Environment 31, 29052914.
Mcallister, T. A., Okine, E. K., Mathison, G. W. & Cheng, K.-J. (1996). Dietary, environmental and microbiological aspects of methane production in ruminants. Canadian Journal of Animal Science 76, 231243.
Nielsen, H. M. & Amer, P. R. (2007). An approach to derive economic weights in breeding objectives using partial profile choice experiments. Animal 1, 12541262.
Nielsen, H. M., Christensen, L. G. & Groen, A. F. (2005). Derivation of sustainable breeding goals for dairy cattle using selection index theory. Journal of Dairy Science 88, 18821890.
Nielsen, H. M., Christensen, L. G. & Ødegard, J. (2006). A method to define breeding goals for sustainable dairy cattle production. Journal of Dairy Science 89, 36153625.
Nielsen, H. M., Amer, P. R. & Olesen, I. (2008). Challenges of including welfare and environmental concerns in the breeding goal. In Proceedings of the European Association of Animal Production, 24–27 August 2008, Vilnius, Lithuania. Session 25.1, abstract no. 2915. Rome: EAAP. Available online at (verified 17 November 2011).
Olesen, I., Gjerde, B. & Groen, A. F. (1999). Methodology for deriving non-market trait values in animal breeding goals for sustainable production systems. Interbull Bulletin 23, 1321.
Olesen, I., Navrud, S. & Kolstad, K. (2006). Economic values of animal welfare goals. In Proceedings 8th World Congress of Genetics Applied to Livestock Production 13–18 August 2006, Belo Horizonte, Brazil. Communication 31-07, CD-ROM: 31_538-1710.pdf. Belo Horizonte, Brazil: WCGALP.
Pelchen, A. & Peters, K. J. (1998). Methane emissions from sheep. Small Ruminant Research 27, 137150.
Peters, G. M., Rowley, H. V., Wiedemann, S. G., Tucker, R. W., Short, M. D. & Schulz, M. S. (2010). Red meat production in Australia: life cycle assessment and comparison with overseas studies. Environmental Science and Technology 44, 13271332.
Pinares-Patino, C. S., Mcewan, J. C., Dodds, K. G., Cárdenas, E. A., Hegarty, R. S., Koolaard, J. P. & Clark, H. (2011). Repeatability of methane emissions from sheep. Animal Feed Science and Technology 166, 210218.
Pinares-Patino, C. S., Ulyatt, M. J., Lassey, K. R., Barry, T. N. & Holmes, C. W. (2003). Persistence of differences between sheep in methane emission under generous grazing conditions. Journal of Agricultural Science, Cambridge 140, 227233.
Price, R., Thornton, S. & Nelson, S. (2007). The Social Cost of Carbon and the Shadow Price of Carbon: What They Are, and How to Use Them in Economic Appraisal in the UK. Economics Group, DEFRA. London: HMSO. Available online at (verified 17 November 2011).
Robinson, D. L., Bickell, S. L., Toovey, A. F., Revell, D. K. & Vercoe, P. E. (2011). Factors affecting variability in feed intake of sheep with ad libitum access to feed and the relationship with daily methane production. Proceedings of the Association of Advancement of Animal Breeding and Genetics 19, 159162.
Ulyatt, M. J., Baker, S. K., Mccrabb, G. J. & Lassey, K. R. (1999). Accuracy of the SF6 tracer technology and alternatives for field measurements. Australian Journal of Agricultural Research 50, 13291334.
Wall, E., Simm, G. & Moran, D. (2010). Developing breeding schemes to assist mitigation of greenhouse gas emissions. Animal 4, 366376.
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