Farm-specific failure costs of production disorders in European organic dairy herds.


Journal

Preventive veterinary medicine
ISSN: 1873-1716
Titre abrégé: Prev Vet Med
Pays: Netherlands
ID NLM: 8217463

Informations de publication

Date de publication:
01 Jul 2019
Historique:
received: 10 07 2018
revised: 29 03 2019
accepted: 31 03 2019
entrez: 18 5 2019
pubmed: 18 5 2019
medline: 29 5 2019
Statut: ppublish

Résumé

On-farm decision support in animal health management requires a tailor-made failure costs (FCs) assessment of production disorders for the individual farm. In our study we defined a generic framework to estimate the FC of production disorders in dairy cows. We converted the framework to a practical tool in which the farm-specific FC of mastitis, ketosis, lameness and metritis were estimated for 162 organic dairy farms in four European countries. Along with the structure of the framework, the FC estimation required three distinct types of model input: performance input (related to herd performance parameters), consequential input (related to the consequences of the disorders) and economic input (related to price levels). Input was derived from official herd recordings (e.g. test-day records and animal health recordings) and farmers' responses (e.g. questionnaire replies). The average FC of mastitis, ketosis, lameness and metritis amounted to € 96, € 21, € 43 and € 10 per cow per year, respectively. The variation in FC outcomes was high among farmers and countries. Overall ranking of the disorders based on absolute values was the same for all countries, with mastitis being the costliest disorder followed in order by lameness, ketosis, and metritis. Farm specific estimates can be used to rank production related disorders in terms of their associated failure costs and thus provide valuable insights for herd health management. The practical calculation tool developed in this study should be considered by farmers or herd health advisors to support their animal health practices or advice.

Identifiants

pubmed: 31097120
pii: S0167-5877(18)30473-2
doi: 10.1016/j.prevetmed.2019.03.029
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

19-29

Informations de copyright

Copyright © 2019 Elsevier B.V. All rights reserved.

Auteurs

F J S van Soest (FJS)

Business Economics Group, Wageningen University, Hollandseweg 1, 6706 KN Wageningen, The Netherlands. Electronic address: felix.vansoest@gmail.com.

M C M Mourits (MCM)

Business Economics Group, Wageningen University, Hollandseweg 1, 6706 KN Wageningen, The Netherlands.

I Blanco-Penedo (I)

IRTA, Animal Welfare Subprogram, ES-17121 Monells, Girona, Spain; Swedish University of Agricultural Sciences, Department of Clinical Sciences, SE-750 07 Uppsala, Sweden.

J Duval (J)

BIOEPAR, INRA, Oniris, La Chantrerie, 44307 Nantes, France.

N Fall (N)

Swedish University of Agricultural Sciences, Department of Clinical Sciences, SE-750 07 Uppsala, Sweden.

M Krieger (M)

University of Kassel, Department of Animal Nutrition and Animal Health, Nordbahnhofstrasse 1a, D-37213 Witzenhausen, Germany.

K Sjöstrom (K)

IRTA, Animal Welfare Subprogram, ES-17121 Monells, Girona, Spain.

H Hogeveen (H)

Business Economics Group, Wageningen University, Hollandseweg 1, 6706 KN Wageningen, The Netherlands; Department of Farm Animal Health, Faculty of Veterinary Medicine, Utrecht University, Yalelaan 7, 3584 CL Utrecht, The Netherlands.

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Classifications MeSH