Hostname: page-component-7bb8b95d7b-pwrkn Total loading time: 0 Render date: 2024-09-13T22:55:48.768Z Has data issue: false hasContentIssue false

Modelling the impact of bovine herpesvirus-1 seropositivity on the technical and economic performance of a pastoral-based suckler beef system

Published online by Cambridge University Press:  14 August 2018

R. Lynch*
Affiliation:
School of Agriculture and Food Science, University College Dublin, Belfield, Dublin 4, Ireland Animal & Grassland Research and Innovation Centre, Teagasc, Grange, Dunsany, County Meath, Ireland
D. A. Kenny
Affiliation:
School of Agriculture and Food Science, University College Dublin, Belfield, Dublin 4, Ireland Animal & Grassland Research and Innovation Centre, Teagasc, Grange, Dunsany, County Meath, Ireland
M. H. Parr
Affiliation:
Animal & Grassland Research and Innovation Centre, Teagasc, Grange, Dunsany, County Meath, Ireland
D. Barrett
Affiliation:
Department of Agriculture Food and Marine, Backweston, County Kildare, Ireland
A. K. Kelly
Affiliation:
School of Agriculture and Food Science, University College Dublin, Belfield, Dublin 4, Ireland
P. Crosson
Affiliation:
Animal & Grassland Research and Innovation Centre, Teagasc, Grange, Dunsany, County Meath, Ireland
*
Author for correspondence: R. Lynch, E-mail: richard.lynch@teagasc.ie

Abstract

Bovine herpes virus 1 (BHV-1) manifests as a latent viral infection putatively affecting bovines. Understanding its effect on cattle herds is critical to maintaining sustainable beef and dairy production systems, as well as aiding in the development of herd health policies. The primary objective of the current study was, therefore, to use a whole-farm bio-economic model to evaluate the effect of herd seroprevalence to BHV-1 on the productive and economic performance of a spring calving beef cow herd. As part of a wider epidemiological study of herd pathogen status, a total of 4240 cows from 134 spring calving beef cow herds across the Republic of Ireland were blood sampled to measure the seroprevalence to BHV-1. Using data from a national breeding database, productive and reproductive performance indicators were used to parameterize a single year, static and deterministic whole-farm bio-economic model. A spring-calving, pasture-based suckler beef cow production system with an emphasis on calf-to-weanling production was simulated. The impact of BHV-1 seropositivity on whole-farm technical and economic performance was relatively small, with a marginal drop in the net margin of 4% relative to a baseline seronegative herd. Subsequent risk factors for increased pathogenicity were considered such as total herd size, percentage of intra-herd movements and vaccination status for BHV-1. In contrast to all others, scenarios representing herds that were either small in size or those which indicated an active vaccination policy for BHV-1 had no reduction in net margin against the baseline as a result of seropositivity to BHV-1.

Type
Modelling Animal Systems Research Paper
Copyright
Copyright © Cambridge University Press 2018 

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

Ackermann, M and Engels, M (2006) Pro and contra IBR-eradication. Veterinary Microbiology 113, 293302.Google Scholar
Barrett, D, Parr, M, Fagan, J, Johnson, A, Tratalos, J, Lively, F, Diskin, M and Kenny, D (2018) Prevalence of bovine viral diarrhoea virus (BVDV), bovine herpes virus 1 (BHV 1), leptospirosis and neosporosis, and associated risk factors in 161 Irish beef herds. BMC Veterinary Research 14, 8.Google Scholar
Biuk-Rudan, N, Cvetnić, S, Madic, J and Rudan, D (1999) Prevalence of antibodies to IBR and BVD viruses in dairy cows with reproductive disorders. Theriogenology 51, 875881.Google Scholar
Cowley, DJB, Clegg, TA, Doherty, ML and More, SJ (2011) Aspects of bovine herpesvirus-1 infection in dairy and beef herds in the Republic of Ireland. Acta Veterinaria Scandinavica 53, 40.Google Scholar
Cowley, DJB, Graham, DA, Guelbenzu, M, Doherty, ML and More, SJ (2014) Aspects of bovine herpes virus-1 and bovine viral diarrhoea virus herd-level seroprevalence and vaccination in dairy and beef herds in Northern Ireland. Irish Veterinary Journal 67, 18.Google Scholar
Crosson, P, O'Kiely, P, O'Mara, FP and Wallace, M (2006) The development of a mathematical model to investigate Irish beef production systems. Agricultural Systems 89, 349370.Google Scholar
Crowley, AM, Keane, MG, Agabriel, J and O'Mara, FP (2002) Prediction of net energy requirements of beef cattle. Proceedings of Agricultural Research Forum 11, 19.Google Scholar
Diskin, MG and Kenny, DA (2014) Optimising reproductive performance of beef cows and replacement heifers. Animal 8, 2739.Google Scholar
Drennan, MJ and McGee, M (2009) Performance of spring-calving beef suckler cows and their progeny to slaughter on intensive and extensive grassland management systems. Livestock Science 120, 112.Google Scholar
Fairbanks, KF, Campbell, J and Chase, CCL (2004) Rapid onset of protection against infectious bovine rhinotracheitis with a modified-live virus multivalent vaccine. Veterinary Therapeutics 5, 1725.Google Scholar
Givens, MD (2006) A clinical, evidence-based approach to infectious causes of infertility in beef cattle. Theriogenology 66, 648654.Google Scholar
Gunn, GJ, Stott, AW and Humphry, RW (2004) Modelling and costing BVD outbreaks in beef herds. Veterinary Journal 167, 143149.Google Scholar
Hage, JJ, Schukken, YH, Dijkstra, TH, Barkema, HW, van Valkengoed, PHR and Wentink, GH (1998) Milk production and reproduction during a subclinical bovine herpesvirus 1 infection on a dairy farm. Preventive Veterinary Medicine 34, 97106.Google Scholar
Jarrige, R (1989) Ruminant Nutrition. Recommended Allowances and Feed Tables. London, UK: John Libbey Eurotext.Google Scholar
Keeling, MJ (2005) Models of foot and mouth disease. Proceedings of the Royal Society B: Biological Sciences 272, 11951202.Google Scholar
Lassen, B, Orro, T, Aleksejev, A, Raaperi, K, Järvis, T and Viltrop, A (2012) Neospora caninum in Estonian dairy herds in relation to herd size, reproduction parameters, bovine virus diarrhoea virus, and bovine herpes virus 1. Veterinary Parasitology 190, 4350.Google Scholar
McGee, M, Drennan, MJ and Caffrey, PJ (2005) Effect of suckler cow genotype on energy requirements and performance in winter and subsequently at pasture. Irish Journal of Agricultural and Food Research 44, 157171.Google Scholar
Muylkens, B, Thiry, J, Kirten, P, Schynts, F and Thiry, E (2007) Bovine herpesvirus 1 infection and infectious bovine rhinotracheitis. Veterinary Research 38, 181209.Google Scholar
Nandi, S, Kumar, M, Manohar, M and Chauhan, R (2009) Bovine herpes virus infections in cattle. Animal Health Research Reviews 10, 8598.Google Scholar
Noordegraaf, AV, Buijtels, JAAM, Dijkhuizen, AA, Franken, P, Stegeman, JA and Verhoeff, J (1998) An epidemiological and economic simulation model to evaluate the spread and control of infectious bovine rhinotracheitis in the Netherlands. Preventive Veterinary Medicine 36, 219238.Google Scholar
O'Grady, L, O'Neill, R, Collins, DM, Clegg, TA and More, SJ (2008) Herd and within-herd BoHV-1 prevalence among Irish beef herds submitting bulls for entry to a performance testing station. Irish Veterinary Journal 61, 809815.Google Scholar
O'Mara, FP, Caffrey, PJ and Drennan, MJ (1997) Net energy values of grass silage determined from comparative feeding trials. Irish Journal of Agricultural and Food Research 36, 110.Google Scholar
Raaperi, K, Bougeard, S, Aleksejev, A, Orro, T and Viltrop, A (2012) Association of herd BHV-1 seroprevalence with respiratory disease in young stock in Estonian dairy cattle. Research in Veterinary Science 93, 641648.Google Scholar
Sharon, KP, Duff, GC, Paterson, JA, Dailey, JW, Carroll, JA and Marceau, EA (2013) Case study: effects of timing of a modified-live respiratory viral vaccination on performance, feed intake, antibody titer response, and febrile response of beef heifers. The Professional Animal Scientist 29, 307312.Google Scholar
Teagasc (2016) e-Profit Monitor Analysis: Drystock Farms 2015. Dunsany, Ireland: Teagasc. Available at https://www.teagasc.ie/media/website/publications/2016/eProfit-Book.pdf (Accessed 28 June 2018).Google Scholar
van Schaik, G, Dijkhuizen, AA, Huirne, RB, Schukken, YH, Nielen, M and Hage, HJ (1998) Risk factors for existence of bovine herpes virus 1 antibodies on nonvaccinating Dutch dairy farms. Preventive Veterinary Medecine 34, 125136.Google Scholar
van Schaik, G, Shoukri, M, Martin, SW, Schukken, YH, Nielen, M, Hage, JJ and Dijkhuizen, AA (1999) Modeling the effect of an outbreak of bovine herpesvirus type 1 on herd-level milk production of Dutch dairy farms. Journal of Dairy Science 82, 944952.Google Scholar
van Schaik, G, Nielen, M and Dijkhuizen, AA (2001) An economic model for on-farm decision support of management to prevent infectious disease introduction into dairy farms. Preventive Veterinary Medicine 51, 289305.Google Scholar
van Schaik, G, Schukken, YH, Nielen, M, Dijkhuizen, AA, Barkema, HW and Benedictus, G (2002) Probability of and risk factors for introduction of infectious diseases into Dutch SPF dairy farms: a cohort study. Preventive Veterinary Medicine 54, 279289.Google Scholar
van Wuijckhuise, L, Bosch, J, Franken, P, Frankena, K and Elbers, AR (1998) Epidemiological characteristics of bovine herpesvirus 1 infections determined by bulk milk testing of all Dutch dairy herds. The Veterinary Record 142, 181184.Google Scholar
Wickham, BW, Amer, PR, Berry, DP, Burke, M, Coughlan, S, Cromie, A, Kearney, JF, McHugh, N, McParland, S and O'Connell, K (2012) Industrial perspective: capturing the benefits of genomics to Irish cattle breeding. Animal Production Science 52, 172179.Google Scholar
Yates, WD, Babiuk, LA and Jericho, KW (1983) Viral-bacterial pneumonia in calves: duration of the interaction between bovine herpesvirus 1 and Pasteurella haemolytica. Canadian Journal of Comparative Medicine 47, 257264.Google Scholar
Supplementary material: File

Lynch et al. supplementary material

Lynch et al. supplementary material 1

Download Lynch et al. supplementary material(File)
File 21.1 KB