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Associations between herd size, rate of expansion and production, breeding policy and reproduction in spring-calving dairy herds

Published online by Cambridge University Press:  11 April 2011

J. G. Jago*
Affiliation:
DairyNZ, Private Bag 3221, Hamilton 3420, New Zealand
D. P. Berry
Affiliation:
Teagasc, Moorepark Dairy Production Research Centre, Fermoy, Co. Cork, Ireland
*
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Abstract

Dairy herd size is expected to increase in many European countries, given the recent policy changes within the European Union. Managing more cows may have implications for herd performance in the post-quota era. The objective of this study was to characterise spring-calving herds according to size and rate of expansion, and to determine trends in breeding policy, reproduction and production performance, which will inform industry of the likely implications of herd expansion. Performance data from milk recording herds comprising 775 795 lactations from 2555 herds for the years 2004 to 2008 inclusive were available from the Irish Cattle Breeding Federation. Herds were classified into Small (average of 37 cows), Medium (average of 54 cows) and Large (average of 87 cows) and separately into herds that were not expanding (Nil expansion), herds expanding on average by three cows per year (Slow expansion) and herds expanding on average by eight cows per year (Rapid expansion). There was no association between rate of expansion and 305-day fat and protein yield. However, 305-day milk yield decreased and milk protein and fat percentage increased with increasing rate of expansion. There were no associations between herd size and milk production except for protein and fat percentage, which increased with increasing herd size. Average parity number of the cows decreased as rate of expansion increased and tended to decrease as herd size increased. In rapidly expanding herds, cow numbers were increased by purchasing more cattle. The proportion of dairy sires relative to beef sires used in the breeding programme of expanding herds increased and there was more dairy crossbreeding, albeit at a low rate. Similarly, large herds were using more dairy sires and fewer beef sires. Expanding herds and large herds had superior reproductive performance relative to non-expanding and small herds. Animals in expanding herds calved for the first time at a younger age, had a shorter calving interval and were submitted for breeding by artificial insemination at a higher rate. The results give confidence to dairy producers likely to undergo significant expansion post-quota such that, despite managing more cows, production and reproductive performance need not decline. The management skills required to achieve these performance levels need investigation.

Type
Full Paper
Copyright
Copyright © The Animal Consortium 2011

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References

Buckley, F, O'Sullivan, K, Mee, JF, Evans, RD, Dillon, P 2003. Relationships among milk yield, body condition, cow weight and reproduction in spring-calved Holstein-Friesians. Journal of Dairy Science 86, 23082319.Google Scholar
Dairy Statistics 2010. An Insider's Guide. DairyCo, UK. Retrieved September 10, 2010, from http://www.dairyco.org.uk/library/market-information/dairy-statistics/dairy-statistics-an-insider's-guide-2010.aspxGoogle Scholar
Dillon, P, Roche, JR, Shalloo, L, Horan, B 2005. Optimising financial return from grazing in temperate pastures. In Utilisation of grazed grass in temperate animal systems Proceedings of a Satellite Workshop of the 20th International Grassland Congress, July 2005, Cork, Ireland (ed. JJ Murphy), pp. 131147. Wageningen Academic Publishers, The Netherlands.Google Scholar
Dillon, P, Hennessy, T, Shalloo, L, Thorne, F, Horan, B 2006. Long term vision for the Irish Dairy Industry. National Dairy Conference 2006, Teagasc, Ireland, 16–34pp.Google Scholar
Faust, MA, Kinseal, ML, Kirkpatrick, MA 2001. Characterizing biosecurity, health and culling during dairy herd expansions. Journal of Dairy Science 84, 955965.CrossRefGoogle ScholarPubMed
Gilmour, AR, Cullis, BR, Welham, SJ, Thompson, R 2009. ASReml User Guide Release 3.0 VSN International Ltd, Hemel Hempstead HP1 1ES, UK.Google Scholar
Gulliksen, SM, Lie, KI, Loken, T, Osteras, O 2008. Calf mortality in Norwegian dairy herds. Journal of Dairy Science 92, 27822795.CrossRefGoogle Scholar
Hadley, GL, Harsh, SB, Wolf, CA 2002. Managerial and financial implications of major dairy farm expansions in Michigan and Wisconsin. Journal of Dairy Science 85, 20532064.Google Scholar
Hemme, T 2007. IFCN dairy report 2007, international farm comparison network. IFCN Dairy Research Center, Kiel, Germany.Google Scholar
Hemme, T 2008. IFCN dairy report 2008, international farm comparison network. IFCN Dairy Research Center, Kiel, Germany.Google Scholar
ICBF 2008. Irish Cattle Breeding Federation. Retrieved September 10, 2010, from http://www.icbf.com/publications/files/2008rep/table_2_6_avg_mr_production.htmGoogle Scholar
MacDonald, JM, O'Donoghue, EJ, McBride, WD, Nehring, RF, Sandretty, CL, Mosheim, R 2007. Profits, costs and the changing structure of dairy farming. Economic Research Report no. (ERR-47) 41pp. Retrieved September 10, 2010, from http://www.ers.usda.gov/publications/err47/err47b.pdfGoogle Scholar
NFS 1988. National Farm Survey Data, Teagasc, Dublin, Ireland.Google Scholar
NFS 2009. National Farm Survey Data, Teagasc, Dublin, Ireland.Google Scholar
New Zealand Dairy Statistics 2009. Retrieved January 20, 2010, from www.dairynz.co.nz/dairystatisticsGoogle Scholar
Norman, HD, Miller, RH, Wright, JR, Wiggans, GR 1999. Herd and state means for somatic cell count from dairy herd improvement. Journal of Dairy Science 83, 27822788.Google Scholar
O'Brien, B, Gleeson, D, O'Donovan, K, Kinsella, J, Ruane, D 2002. An examination of labour utilization on Irish dairy farms. End of Project Report, Moorepark Research Centre, Project 4678.Google Scholar
O'Donnell, S, Shalloo, L, Butler, AM, Horan, B 2009. A survey analysis of opportunities and limitations of Irish dairy farmers. Journal of Farm Management 13, 419434.Google Scholar
Oleggini, GH, Ely, LO, Smith, JW 2001. Effect of region and herd size on dairy herd performance parameters. Journal of Dairy Science 84, 10441050.Google Scholar
Olori, VE, Galesloot, PJB 1999. Projection of partial lactation records and calculation of 305-day yields in the Republic of Ireland. Interbull Bulletin 22, 149154.Google Scholar
Prendiville, R, Pierce, KM, Buckley, F 2009. An evaluation of production efficiencies among lactating Holstein-Friesian, Jersey, and Jersey × Holstein-Friesian cows at pasture. Journal of Dairy Science 92, 61766185.CrossRefGoogle ScholarPubMed
SAS Institute 2009. SAS user's guide, version 9.1.0 edition. SAS Institute, Inc., Cary, NC.Google Scholar
Short, RE, Bellows, RA 1971. Relationships among weight gains, age at puberty and reproductive performance in heifers. Journal of Dairy Science 32, 127131.Google Scholar
Smith, JW, Ely, LO, Chapa, AM 2000. Effect of region, herd size, and milk production on reasons cows leave the herd. Journal of Dairy Science 83, 29802987.Google Scholar
Thorne, F, Fingleton, B 2005. Irish dairy farming – can we compete? National Dairy Conference 2005, Waterford, Teagasc, Ireland, 10–24pp.Google Scholar
Washburn, SP, Silvia, WJ, Brown, CH, McDaniel, BT, McAllister, AJ 2001. Trends in reproductive performance in southeastern Holstein and Jersey DHI herds. Journal of Dairy Science 85, 244251.Google Scholar
Weigel, KA, Palmer, RW, Caraviello, DZ 2002. Investigation of factors affecting voluntary and involuntary culling in expanding dairy herds in Wisconsin using survival analysis. Journal of Dairy Science 86, 14821486.CrossRefGoogle Scholar
Wells, SJ, Garber, LP, Wagner, BA 1999. Papillomatous digital dermatitis and associated risk factors in US dairy herds. Preventive Veterinary Medicine 38, 1124.Google Scholar