Hostname: page-component-8448b6f56d-tj2md Total loading time: 0 Render date: 2024-04-23T09:53:02.205Z Has data issue: false hasContentIssue false

Dairy cows in the future

Published online by Cambridge University Press:  27 February 2018

G. Simm
Affiliation:
Animal Biology Division, Scottish Agricultural College, West Mains Road, Edinburgh EH9 3JG, UK
J.D. Oldham
Affiliation:
Animal Biology Division, Scottish Agricultural College, West Mains Road, Edinburgh EH9 3JG, UK
M.P. Coffey
Affiliation:
Animal Biology Division, Scottish Agricultural College, West Mains Road, Edinburgh EH9 3JG, UK
Get access

Abstract

In this paper we discuss the likely future milk production scenarios and breeding and management strategies in the EU in general, and in Britain and Ireland in particular. EU markets for most dairy products are stagnant in volume terms. There is, however, scope for value growth which would emphasise quality and added value, not price. The background scenario is therefore one of sharp commercial focus heavily influenced by consumer demands for quality, not only in physical terms but also in ethical, welfare and aesthetic ones. Future systems of production will need to be in tune with future markets. Perhaps three main sectors can be identified: intensive high output, pasture based systems and niche systems (e.g. organic systems). In each of these options the same questions arise: (i) What kind of cow/breeding strategy is suitable for the sector?, and (ii) What are the management guidelines which will secure efficient, sustainable productivity? In the past, the majority of dairy cattle improvement programmes have focused primarily on improving returns by increasing milk or milk solids yields. Future breeding programmes are likely to pay much greater attention to reducing costs than they have in the past. In pasture-based systems, or niche markets, this may lead to renewed interest in cross breeding to reduce health, re-breeding and replacement costs. In all systems there is likely to be much greater emphasis on traits other than production in selection indexes. Customised indexes will help producers to tailor their selection decisions to their particular markets and production systems. If the differences between future production systems are extreme, it may be cost effective to produce bull evaluations for each of the main systems. New molecular techniques are beginning to assist conventional selection programmes. In the longer term the transfer of genes between strains, breeds or species may be used for agricultural applications. However, it is questionable whether or not this would be acceptable to consumers in the EU. Management issues which will be important in future are exactly the same as they have ever been, dealing with feeding, fertility, health, housing, milking practice, hygiene and pasture management. Nearly all of these interrelate with each other and with breeding strategy. Particular issues in future may include management of robotic milking, loose housing, deliberately extended lactations, organic production systems and extended grazing. Future ‘feeding’ challenges will include optimizing concentrate use for cows of different genetic merit, and finding alternatives to conserved grass. Direct genetic modification of grass and other forages to improve their qualities both as grazed and as conserved material would also be useful. There is also likely to be increased emphasis on feeding cows to improve control of nutrient partition, and on improved feeding of animals in the transition between lactations. Tailoring feeding and management policies to the genetic merit of cows will be a continuing challenge.

Type
Invited Papers
Copyright
Copyright © British Society of Animal Science 2001

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Abbot, R.D., Curb, J.D., Rodriguez, B.L., Sharp, D.S., Burchfiel, C. M. and Yano, K. 1996. Effect of dietary calcium and milk consumption on risk of thromboembolic stroke in older middle-aged men: The Honolulu Heart Program. Stroke 27(5):813-8.Google Scholar
Amer, P.R. 1994. Economic theory and breeding objectives. Proceedings of the 5th World Congress on Genetics Applied to Livestock Production, Vol. 18, pp. 197204.Google Scholar
Ashes, J. R., Gulati, S.K. and Scott, T.W. 1997. Potential to alter the content and composition of milk fat through nutrition. Journal of Dairy Science 80:2204-221.Google Scholar
Aston, K, Fisher, W.J., McAllan, A.B., Dhanoa, M.S. and Dewhurst, R.J. 1998. Supplementation of grass silage-based diets with small quantities of concentrates: strategies for allocating concentrate crude protein. Animal Science 67:1726.Google Scholar
Beam, S.W. and Butler, W.R. 1999. Energy balance effects on follicular development and first ovulation in post-partum cows. Journal of Reproduction and Fertility Suppl. 54 (in press).Google Scholar
Begg, J. 1998. Changing markets, output and demand patterns - effects on industry policies and structure. In Future global, EU and UK markets for milk and milk products - implications for the UK dairy industry. Centre for Agricultural Strategy, Paper No. 37, pp.6162.Google Scholar
Bequette, B.J., Backwell, F.R.C. and Crompton, L.A. 1998. Current concepts of amino acid and protein metabolism in the mammary gland of the lactating ruminant. Journal of Dairy Science 81(9):25402559.CrossRefGoogle ScholarPubMed
Block, E. 1984. Manipulating dietary anions and cations for prepartum dairy cows to reduce incidence of milk fever. Journal of Dairy Science 67:29292948.CrossRefGoogle ScholarPubMed
Bowman, P., Visscher, P.M. and Goddard, M.E. 1996. Customised selection indices for dairy bulls in Australia. Animal Science 62:393403.CrossRefGoogle Scholar
Broster, W.H., Broster, V.J. and Smith, T. 1969. Experiments on the nutrition of the dairy heifer. VIII. Effect on milk production of level of feeding at two stages of the lactation. Journal of Agricultural Science, Cambridge 72:229245.Google Scholar
Brotherstone, S., Veerkamp, R.F. and Hill, W.G. 1998. Predicting breeding values for herd life of Holstein Friesian dairy cattle from lifespan and type. Animal Science 67:405412.Google Scholar
Bryant, A.M. 1993. Friesians and Jerseys. Dairying Research Corporation, Hamilton, Research Update, June 1993, pp.34.Google Scholar
Butler, W.R. and Smith, R.D. 1989. Interrelationships between energy balance and postpartum reproductive function in dairy cattle. Journal of Dairy Science 72:767783.Google Scholar
Camlin, M.S. 1997. Plant breeding - achievement and prospects: Grasses. In Seeds of Progress. British Grassland Society Occasional Symposium No. 31, pp.214.Google Scholar
Camlin, M.S. 1997. Plant breeding - achievement and prospects: Grasses. In Seeds of Progress. British Grassland Society Occasional Symposium No. 31, pp.214.Google Scholar
Capèle, P. 1996. Le Retour à 1‘Herbe. Reseau EBD - Chambre de’agriculture de Loire Atlantique.Google Scholar
Carabano, M.J., Wade, K.M. and Van Vleck, L.D. 1990. Genotype by environment interaction for milk and fat production across regions of the United States. Journal of Dairy Science 73:173180.Google Scholar
Crabtree, M. 1998. Responding to future market requirements determined by changing output and demand patterns: effects on die structure and management of the dairy herd. In Future global, EU and UK markets for milk and milk products - implications for the UK dairy industry. Centre for Agricultural Strategy, Paper No. 37, pp.7277.Google Scholar
Cromie, A.R., Kelleher, D.L., Gordon, F.J. and Rath, M. 1998. Genotype by environment interaction for milk, fat and protein yield in Holstein Friesian dairy cattle in Ireland. Proceedings of the British Society of Animal Science, p.52.Google Scholar
Dentine, M.R. 1999. Marker-assisted selection. In The Genetics of Cattle,ed. Fries and, R. Ruvinsky, A. . CABI Publishing, Wallingford, pp.497510.Google Scholar
First, N.L., Mitalipova, M. and First, M.K. 1999 . Reproductive technologies and transgenics. In The Genetics of Cattle, ed. Fries, R. and Ruvinsky, A.. CABI Publishing, Wallingford, pp.411436.Google Scholar
Fries, R. and Ruvinsky, A. 1999. The Genetics ofCattle. CABI Publishing, Wallingford.Google Scholar
Georges, M., Nielsen, D., Mackinnon, M., Mishra, A., Okimoto, R., Pasquino, A.T., Sargeant, L.S., Sorenson, A., Steele, M.R., Zhao, X., Womack, J.E. and Hoeschele, I. 1995. Mapping genes controlling milk production: towards marker assisted selection in livestock. Genetics 139:907920.Google Scholar
Genus, . 1996. Genus Milkminder Annual Report 1995-96.Genus Management, 3 Grove Road, Wrexham, Clwyd,LLll 1DY,UK.Google Scholar
Goddard, M.E. 1998a. Advances in dairy cattle breeding research. In Proceedings Intermediate Report Workshop, EU Concerted Action Genetic Improvement of Functional Traits in Cattle; (GIFT), Warsaw, Poland. Interbull Bulletin No. 19, International Bull Evaluation Service, Uppsala, Sweden, pp.3749.Google Scholar
Goddard, M.E. 1998b. Consensus and debate in the definition of breeding objectives. Journal of Dairy Science 81, Suppl 2:618.Google Scholar
Goddard, M.E. and Wiggans, G.R. 1999. Genetic improvement of dairy cattle. In The Genetics ofCattle, ed. Fries, R. and Ruvinsky, A.. CABI Publishing, Wallingford, pp.511537.Google Scholar
Groen, A.F., Steine, T., Colleau, J.-J., Pedersen, J., Pribyl, J. and Reinsch, N. 1997. Economic values in dairy cattle breeding, with special reference to functional traits. Report of an EAAP working group. Livestock Production Science 49:121.Google Scholar
Hallam, D. 1998. Introduction. In Future global, EU and UK markets for milk and milk products - implications for the UK dairy industry. Centre for Agricultural Strategy, Paper No. 37, pp.79.Google Scholar
Harris, B.L., Clark, J.M. and Jackson, R.G. 1996. Across breed evaluation of dairy cattle. Proceedings of the New Zealand Society ofAnimal Production 56:1215.Google Scholar
Hill, W.G. and Brotherstone, S. 1999. Advances in methodology for utilising sequential records. In Metabolic Stress in Dairy Cows. Occasional Publication No. 24, British Society ofAnimal Science, ed. Oldham, J.D., Simm, G., Groen, A.F., Nielsen, B.L., Pryce, J.E., Lawrence, T.L.J., pp.5561.Google Scholar
Hill, W.G., Visscher, P.M. and Brotherstone, S. 1998. Black-and-white spots in the application of genetics to dairy cattle breeding. In Proceedings Intermediate report Workshop, EU Concerted Action Genetic Improvement of Functional Traits in Cattle; (GIFT), Warsaw, Poland. Interbull Bulletin No. 19, International Bull Evaluation Service, Uppsala, Sweden, pp.5158.Google Scholar
Holmes, C.W. 1995. Genotype x environment interactions in dairy cattle: a New Zealand perspective. In Breeding andFeeding the High Genetic Merit Dairy Cow. Occasional Publication No. 19, British Society of Animal Science, eds. Lawrence, T.L.J., Gordon, F.J. and Carson, A., pp.5158.Google Scholar
Interbull. 1996a. Proceedings International Workshop on Genetic Improvement of Functional Traits in Cattle, Gembloux, Belgium January 1996. Interbull Bulletin No. 12, Groen, A.F., Sölkner, J., Strandberg, E. and Gengler, N. (compilers), International Bull Evaluation Service, Uppsala, Sweden.Google Scholar
Interbull. 1996b. Sire evaluation procedures for non-dairy production and growth and beef production traits practised in various countries 1996. Bulletin No. 13, Brandsma, J. and Banos, G., International Bull Evaluation Service, Uppsala, Sweden.Google Scholar
Interbull. 1997. Proceedings International Workshop on Genetic Improvement of Functional Traits in Cattle; Health, Uppsala, Sweden. Bulletin No. 15, International Bull Evaluation Service, Uppsala, Sweden.Google Scholar
Interbull. 1999. Proceedings International Workshop on Genetic Improvement of Functional Traits in Cattle; Fertility and Reproduction, Grub, Germany. Bulletin No. 18, International Bull Evaluation Service, Uppsala, Sweden.Google Scholar
Jahreis, G., Fritsche, J. and Steinhart, H. 1997. Conjugated linoleic acid in milk fat: High variation depending on production system. Journal ofNutrition Research 17:14791484.Google Scholar
Johnston, C.C. and Slemenda, C.W. 1995. Pathogenesis of Osteoporosis. Bone 17 (2 suppl.) SI922.CrossRefGoogle ScholarPubMed
Jones, H.E., White, I.M.S. and Brotherstone, S. 1999. Genetic evaluation of Holstein Friesian sires for daughter condition score changes using a random regression model. Animal Science 68:467476.Google Scholar
Kadarmideen, H.N., Thompson, R. and Simm, G. 1999. Linear and threshold model genetic parameters for disease, fertility and milk production in dairy cattle. In The Challenge of Genetic Change. Occasional Publication No. x, British Society of Animal Science, ed. (in press).Google Scholar
Lin, C.Y., Sabour, M.P. and Lee, A.J. 1992. Direct typing of milk proteins as an aid for genetic improvement of dairy bulls and cows: a review. Animal Breeding, Abst. 60:1.Google Scholar
Lindberg, C. M., Swanson, G.J.T. and Mrode, R.A. 1999. Genetic and phenotypic trends in the United Kingdom (UK) dairy herd. Proceedings of the British Society of Animal Science,p. 191.Google Scholar
MAFF, Ministry of Agriculture, Fisheries and Food. 1997. National Food Survey 1996. London: The Stationery Office.Google Scholar
McDonald, I.W. and Scott, T.W. 1977. Foods of ruminant origin wkh elevated content of polyunsaturated fatty acids. World Review of'Nutrition and Dieting 26:144.Google Scholar
Moynihan, P.J. 1995. The relationship between diet, nutrition and dental health: an overview and update for the 90s. Nutrition Research Reviews 8:193224.Google Scholar
Murray, J.D., Anderson, G.B., Oberbauer, A.M. and McGloughlin, M.M. (editors) 1999. Transgenic Animals in Agriculture. CABI Publishing, Wallingford.Google Scholar
National Dairy Council. 1998. Milk - Facts and Fallacies. Topical Update 9.Google Scholar
Oldham, J.D., Simm, G., Groen, A.F., Nielsen, B.L., Pryce, J.E. and Lawrence, T.L.J. (editors) 1999. Metabolic Stress in Dairy Cows. Occasional Publication No. 24, British Society of Animal Science.Google Scholar
Ørskov, E.R., Reid, G.W. and McDonald, I. 1981. The effects of protein degradability and food intake on milk yield and composition in cows in early lactation. British Journal ofNutrition 45:547555.Google Scholar
Pryce, J.E. and Løvendal, P. 1999. Options to reduce vulnerability to metabolic stress by genetic selection. In Metabolic Stress in Dairy Cows. Occasional Publication No. 24, British Society of Animal Science, ed. Oldham, J.D., Simm, G., Groen, A.F., Nielsen, B.L., Pryce, J.E., Lawrence, T.L.J., pp.119127.Google Scholar
Pryce, J.E., Veerkamp, R.F. and Simm, G. 1998. Expected correlated responses in health and fertility traits to selection on production in dairy cattle. Proceedings of the 6th World Congress on Genetics Applied to Livestock Production, Australia, 1998. Vol. 23, pp.383386.Google Scholar
Rice, S. 1998. The European dairy market: a market analysis and identification of exploitable areas. In Future global, EU and UK markets for milk and milk products - implications for the UK dairy industry. Centre for Agricultural Strategy, Paper No. 37, pp.4560.Google Scholar
Royal, M.D., Darwash, A.O. and Lamming, G.E. 1999. Trends in the fertility of dairy cows in the United Kingdom. Proceedings of the British Society of Animal Science,p. 1.CrossRefGoogle Scholar
Schaeffer, L.R. 1994. Multiple-country comparison of dairy sires. Journal of Dairy Science 77:26712678.CrossRefGoogle ScholarPubMed
Simm, G. 1998. Genetic Improvement of Cattle and Sheep. Fanning Press, Ipswich.Google Scholar
Stähelin, H.B., Eichholzer, M. and Gey, K.F. 1992. Nutritional factors correlating with cardiovascular disease: Results of the Basel Study. Bibliotheca Nutritio et Dieta 49:2435 Google Scholar
Stott, A.W., Veerkamp, R.F. and Wassell, T.R. 1999. The economics of fertility in the dairy herd. Animal Science 68:4958.Google Scholar
Swalve, H.H. and Gengler, N. 1999. Genetics of lactation persistency. In Metabolic Stress in Dairy Cows. Occasional Publication No. 24, British Society of Animal Science, ed. Oldham, J.D., Simm, G., Groen, A.F., Nielsen, B.L., Pryce, J.E., Lawrence, T.L.J., pp.7582.Google Scholar
Veerkamp, R.F. 1998. Selection for economic efficiency of dairy cattle using information on live weight and feed intake: areview. Journal of Dairy Science 81:11091119.Google Scholar
Veerkamp, R.F., Hill, W.G., Stott, A.W., Brotherstone, S. and Simm, G. 1995. Selection for longevity and yield in dairy cows using transmitting abilities for type and yield. Animal Science 61:189197.Google Scholar
Veerkamp, R.F., Simm, G. and Oldham, J.D. 1995. Genotype by environment interactions: experience from Langhill. In Breeding and Feeding the High Genetic Merit Dairy Cow. Occasional Publication No. 19, British Society of Animal Science, ed Lawrence, T.L.J., Gordon, F.J. and Carson, A., pp.5966.Google Scholar
Villalobos, N.L. 1998. Effects of Crossbreeding and Selection on the Productivity and Profitability of the New Zealand Dairy Industry. PhD. thesis, Massey University, New Zealand.Google Scholar
Vilianueva, B. and Simm, G. 1994. The use and value of embryo manipulation techniques in animal breeding. Proceedings of the 5th World Congress on Genetics Applied to Livestock Production, Vol. 20, pp.200207.Google Scholar
Visscher, P.M. and Amer, P.R. 1996. Customized selection indices. In Proceedings International Workshop on Genetic Improvement of Functional Traits in Cattle, Gembloux, Belgium January 1996. Google Scholar
INTERBULL Bulletin No. 12, Groen, A.F., Sölkner, J., Strandberg, E. and Gengler, N. (compilers), International Bull Evaluation Service, Uppsala, Sweden, pp.221225.Google Scholar
Visscher, P.M., Bowman, P.J. and Goddard, M.E. 1994. Breeding objectives for pasture based dairy production systems. Livestock Production Science 40:123137.Google Scholar
Webb, R., Gosden, R.G., Telfer, E.E. and Moor, R.M. 1999. Factors affecting foUiculogenesis in ruminants. Animal Science 68:257284.CrossRefGoogle Scholar
Whitelaw, F.G., Milne, J.S., Ørskov, E.R. and Smith, J.W. 1986. The nitrogen and energy metabolism of lactating cows given abomasal infusions of casein. British Journal ofNutrition 55:537556.Google Scholar
Wickham, B.W. and Banos, G. 1998. Impact of international evaluations on dairy cattle breeding programmes. Proceedings of the 6th World Congress on Genetics Applied to Livestock Production, Australia, 1998.Vol. 23, pp.315321.Google Scholar