Genetic parameters for predicted methane production and potential for reducing enteric emissions through genomic selection

Journal of Dairy Science

Volumn 94, Issue 12, 2011, Pages 6122-6134

  De Haas, Y ^a   Windig, J J ^a   Calus, M P L ^a   Dijkstra, J ^a   de Haan, M ^a   Bannink, A ^a   Veerkamp, R F ^a  

^a WAGENINGEN UNIVERSITY   (Netherlands)

Author keywords

Breeding; Feed efficiency; Genomic selection; Methane emission

Indexed keywords

METHANE;

ANIMAL; ANIMAL DISEASE; ARTICLE; BIOSYNTHESIS; BREEDING; CALORIC INTAKE; CATTLE; DIET; EATING; FEMALE; GENETICS; GENOME; LACTATION; METHODOLOGY; QUANTITATIVE TRAIT;

ANIMALS; BREEDING; CATTLE; DIET; EATING; ENERGY INTAKE; FEMALE; GENOME; LACTATION; METHANE; QUANTITATIVE TRAIT, HERITABLE;

EID: 82155171337     PISSN: 00220302     EISSN: 15253198     Source Type: Journal    
DOI: 10.3168/jds.2011-4439     Document Type: Article

References (51)

1. Alford A.R., Hegarty R.S., Parnell P.F., Cacho O.J., Herd R.M., Griffith G.R. The impact of breeding to reduce residual feed intake on enteric methane emissions from the Australian beef industry. Aust. J. Exp. Agric. 2006, 46:813-820.
2. Bannink A., France J., Lopez S., Gerrits W.J.J., Kebreab E., Tamminga S., Dijkstra J. Modelling the implications of feeding strategy on rumen fermentation and functioning of the rumen wall. Anim. Feed Sci. Technol. 2008, 143:3-26.
3. Bannink A., Van Schijndel M.W., Dijkstra J. A model of enteric fermentation in dairy cows to estimate methane emission for the Dutch National Inventory Report using the IPCC Tier 3 approach. Anim. Feed Sci. Technol. 2011, 166-167:603-618.
4. Beauchemin K.A., Kreuzer M., O'Mara F., McAllister T.A. Nutritional management for enteric methane abatement: A review. Aust. J. Exp. Agric. 2008, 48:21-27.
5. Bell M.J., Wall E., Russell G., Morgan C., Simm G. Effect of breeding for milk yield, diet and management on enteric methane emissions from dairy cows. Anim. Prod. Sci. 2010, 50:817-826.
6. Bell M.J., Wall E., Russell G., Simm G., Stott A.W. The effect of improving cow productivity, fertility, and longevity on the global warming potential of dairy systems. J. Dairy Sci. 2011, 94:3662-3678.
7. Calus M.P.L., Meuwissen T.H.E., De Roos A.P.W., Veerkamp R.F. Accuracy of genomic selection using different methods to define haplotypes. Genetics 2008, 178:553-561.
8. Cavanagh A., McNaughton L., Clark H., Greaves C., Gowan J.M., Pinares-Patino C., Dalley D., Vlaming B., Molano G. Methane emissions from grazing Jersey × Friesian dairy cows in mid lactation. Aust. J. Exp. Agric. 2008, 48:230-233.
9. Chagunda M.G.G., Romer D.A.M., Roberts D.J. Effect of genotype and feeding regime on enteric methane, non-milk nitrogen and performance of dairy cows during the winter feeding period. Livest. Sci. 2009, 122:323-332.
10. Chagunda M.G.G., Ross D., Roberts D.J. On the use of a laser methane detector in dairy cows. Comput. Electron. Agric. 2009, 68:157-160.
11. Clark H., Kelliher F., Pinares-Patino C. Reducing CH4 emissions from grazing ruminants in New Zealand: Challenges and opportunities. Asian-australas. J. Anim. Sci. 2011, 24:295-302.
12. de Vries M., De Boer I.J.M. Comparing environmental impacts for livestock products: A review of life cycle assessments. Livest. Sci. 2010, 128:1-11.
13. de Vries M.J., Veerkamp R.F. Energy balance of dairy cattle in relation to milk production variables and fertility. J. Dairy Sci. 2000, 83:62-69.
14. Del Prado A., Chadwick D., Cardenas L., Misselbrook T., Scholefield D., Merino P. Exploring systems responses to mitigation of GHG in UK dairy farms. Agric. Ecosyst. Environ. 2010, 136:318-332.
15. Durunna O.N., Mujibi F.D.N., Goonewardene L., Okine E.K., Basarab J.A., Wang Z., Moore S.S. Feed efficiency differences and reranking in beef steers fed grower and finisher diets. J. Anim. Sci. 2011, 89:158-167.
16. Ellis J.L., Bannink A., France J., Kebreab E., Dijkstra J. Evaluation of enteric methane prediction equations for dairy cows used in whole farm models. Glob. Change Biol. 2010, 16:3246-3256.
17. Ellis J.L., Kebreab E., Odongo N.E., McBride B.W., Okine E.K., France J. Prediction of methane production from dairy and beef cattle. J. Dairy Sci. 2007, 90:3456-3466.
18. Friggens N.C., Berg P., Theilgaard P., Korsgaard I.R., Ingvartsen K.L., Lovendahl P., Jensen J. Breed and parity effects on energy balance profiles through lactation: Evidence of genetically driven body energy change. J. Dairy Sci. 2007, 90:5291-5305.
19. Friggens N.C., Newbold J.R. Towards a biological basis for predicting nutrient partitioning: The dairy cow as an example. Animal 2007, 1:87-97.
20. Gelman A., Rubin D.B. Inference from iterative simulation using multiple sequences. Stat. Sci. 1992, 7:457-472.
21. George E.I., McCulloch R.E. Variable selection via Gibbs sampling. J. Am. Stat. Assoc. 1993, 88:881-889.
22. Gilmour A.R., Gogel B.J., Cullis B.R., Thompson R. ASReml User Guide Release 2.0 2006, VSN International Ltd., Hemel Hempstead, UK.
23. Guan L.L., Nkrumah J.D., Basarab J.A., Moore S.S. Linkage of microbial ecology to phenotype: Correlation of rumen microbial ecology to cattle's feed efficiency. FEMS Microbiol. Lett. 2008, 288:85-91.
24. Hegarty R.S., Goopy J.P., Herd R.M., McCorkell B. Cattle selected for lower residual feed intake have reduced daily methane production. J. Anim. Sci. 2007, 85:1479-1486.
25. Herd, R. M., P. F. Arthur, R. S. Hegarty, and J. A. Archer. 2002. Potential to reduce greenhouse gas emissions from beef production by selection for reduced residual feed intake. Proc. 7th World Congr. Genet. Appl. Livest. Prod., Montpellier, France. Comm. No. 10-22.
26. IPCC. 2000. Good practice guidance and uncertainty management in national greenhouse gas inventories. L. G. M. F. J. T. Houghton, B. Lim, K. Treanton, I. Mamaty, Y. Bonduki, D. J. Griggs, and B. A. Callanders, ed. OECD, Paris, France. Accessed Sep. 27, 2011. http://www.ipcc-nggip.iges.or.jp/public/gp/english/.
27. IPCC. 2006. 2006 IPCC guidelines for national greenhouse gas inventories, Vol. 4: Agriculture, Forestry and Other Land Use, Intergovernmental Panel on Climate Change. Accessed Sep. 27, 2011. http://www.ipcc-nggip.iges.or.jp/public/2006gl/pdf/4_Volume4/V4_10_Ch10_Livestock.pdf.
28. Jones, H. E., C. C. Warkup, A. Williams, and E. Audsley. 2008. The effect of genetic improvement on emission from livestock systems. Page 28 in Proc. Eur. Assoc. Anim. Prod., Vilnius, Lithuania.
29. Mc Parland, S., G. Banos, E. Wall, M. P. Coffey, H. Soyeurt, R. F. Veerkamp, and D. P. Berry. 2010. Predicting energy balance status of Holstein cows using mid-infrared spectral data. Proc. 9th World Congr. Genet. Appl. Livest. Prod., Leipzig, Germany. Comm. No. 05-70.
30. McAllister T.A., Newbold C.J. Redirecting rumen fermentation to reduce methanogenesis. Aust. J. Exp. Agric. 2008, 48:7-13.
31. McAllister T.A., Okine E.K., Mathison G.W., Cheng K.J. Dietary, environmental and microbiological aspects of methane production in ruminants. Can. J. Anim. Sci. 1996, 76:231-243.
32. Meuwissen T.H., Hayes B., Goddard M. Prediction of total genetic value using genome-wide dense marker maps. Genetics 2001, 157:1819-1829.
33. Meuwissen T.H.E., Goddard M.E. Mapping multiple QTL using linkage disequilibrium and linkage analysis information and multitrait data. Genet. Sel. Evol. 2004, 36:261-279.
34. Moss A.R., Jouany J.P., Newbold J. Methane production by ruminants: Its contribution to global warming. Ann. Zoot. 2000, 49:231-253.
35. Murray R.M., Bryant A.M., Leng R.A. Rates of production of methane in rumen and large-intestine of sheep. Br. J. Nutr. 1976, 36:1-14.
36. Nkrumah J.D., Okine E.K., Mathison G.W., Schmid K., Li C., Basarab J.A., Price M.A., Wang Z., Moore S.S. Relationships of feedlot feed efficiency, performance, and feeding behavior with metabolic rate, methane production, and energy partitioning in beef cattle. J. Anim. Sci. 2006, 84:145-153.
37. Pryce J.E., Goddard M.E., Raadsma H.W., Hayes B.J. Deterministic models of breeding scheme designs that incorporate genomic selection. J. Dairy Sci. 2010, 93:5455-5466.
38. Pszczola M., Strabel T., Mulder H.A., Calus M.P.L. Reliability of genomic values for animals with different relationships within and to the reference population. J. Dairy Sci. 2011, doi:10.3168/jds.2011-4338.
39. Rendel J.M., Robertson A. The use of progeny testing with artificial insemination in dairy cattle. J. Genet. 1950, 50:21-31.
40. Van Es A.J.H. Feed evaluation for ruminants. 1. Systems in use from May 1977 onwards in Netherlands. Livest. Prod. Sci. 1978, 5:331-345.
41. van Knegsel A.T.M., Van den Brand H., Dijkstra J., Kemp B. Effects of dietary energy source on energy balance, metabolites and reproduction variables in dairy cows in early lactation. Theriogenology 2007, 68:S274-S280.
42. Veerkamp R.F. Selection for economic efficiency of dairy cattle using information on live weight and feed intake: A review. J. Dairy Sci. 1998, 81:1109-1119.
43. Veerkamp, R. F. 2002. Feed intake and energy balance in lactating animals. Proc. 7th World Congr. Genet. Appl. Livest. Prod., Montpellier, France. Comm. No. 10-01.
44. Veerkamp R.F., Beerda B., Van der Lende T. Effects of genetic selection for milk yield on energy balance, levels of hormones, and metabolites in lactating cattle, and possible links to reduced fertility. Livest. Prod. Sci. 2003, 83:257-275.
45. Veerkamp R.F., Emmans G.C. Sources of genetic variation in energetic efficiency of dairy cows. Livest. Prod. Sci. 1995, 44:87-97.
46. Veerkamp R.F., Oldenbroek J.K., Van Der Gaast H.J., Van Der Werf J.H.J. Genetic correlation between days until start of luteal activity and milk yield, energy balance, and live weights. J. Dairy Sci. 2000, 83:577-583.
47. Verbyla K.L., Calus M.P.L., Mulder H.A., de Haas Y., Veerkamp R.F. Predicting energy balance for dairy cows using high-density single nucleotide polymorphism information. J. Dairy Sci. 2010, 93:2757-2764.
48. Vlaming J.B., Lopez-Villalobos N., Brookes I.M., Hoskin S.O., Clark H. Within-and between-animal variance in methane emissions in non-lactating dairy cows. Aust. J. Exp. Agric. 2008, 48:124-127.
49. Wall E., Simm G., Moran D. Developing breeding schemes to assist mitigation of greenhouse gas emissions. Animal 2010, 4:366-376.
50. Wiggans G.R., Sonstegard T.S., Vanraden P.M., Matukumalli L.K., Schnabel R.D., Taylor J.F., Schenkel F.S., Van Tassell C.P. Selection of single-nucleotide polymorphisms and quality of genotypes used in genomic evaluation of dairy cattle in the United States and Canada. J. Dairy Sci. 2009, 92:3431-3436.
51. Yan T., Mayne C.S., Gordon F.G., Porter M.G., Agnew R.E., Patterson D.C., Ferris C.P., Kilpatrick D.J. Mitigation of enteric methane emissions through improving efficiency of energy utilization and productivity in lactating dairy cows. J. Dairy Sci. 2010, 93:2630-2638.