A stochastic model simulating the feeding-health-production complex in a dairy herd

Citation
S. Ostergaard et al., A stochastic model simulating the feeding-health-production complex in a dairy herd, J DAIRY SCI, 83(4), 2000, pp. 721-733
Citations number
43
Categorie Soggetti
Food Science/Nutrition
Journal title
JOURNAL OF DAIRY SCIENCE
ISSN journal
00220302 → ACNP
Volume
83
Issue
4
Year of publication
2000
Pages
721 - 733
Database
ISI
SICI code
0022-0302(200004)83:4<721:ASMSTF>2.0.ZU;2-F
Abstract
A dynamic, stochastic, and mechanistic Monte Carlo model, simulating a dair y herd with focus on the feeding-health-production complex is presented. By specifying biological parameters at cow level and a management strategy at herd level, the model can simulate the technical and economic consequences of scenarios at herd level. The representation of the feeding-health-produ ction complex is aimed to be sufficiently detailed, to include relationship s likely to cause significant herd effects, and to be sufficiently simple t o enable a feasible parameterization of the model and interpretation of the results from the model. Consequently, diseases are defined as four disease types: two metabolic disease types, an udder disease type, and a reproduct ive disease type. Risk factors for the diseases were defined as parity, yie ld capacity, disease recurrence, disease interrelationships, lactation stag e, and season. Direct effects of the diseases were defined according to mil k yield, feed intake, feed utilization, conception, culling, involuntary re moval, and death. Scenarios differing in base risks of milk fever and ketosis, heat detection rate, and culling strategy were simulated for describing the model behavio r. Annual milk yield per cow was decreased by increased risk of ketosis and by increased risk of milk fever, even though no direct effect of milk feve r on milk yield was modeled at the cow level. The indirect effect from milk fever is a consequence of increased replacement rate (relatively lower mil k yield from younger cows). By ignoring the history of milk fever in insemi nation and replacement decisions, a significantly reduced net income per co w was found in some herds. We concluded that important benefits from using such a herd model are the capability of accounting for herd management fact ors and the advantage of avoiding to double count the indirect effects from disease, such as increased risk of other diseases, poorer reproduction res ults, and increased risk of culling and death.