C.P.A. van Wagenberg
Wageningen University and Research Centre
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Featured researches published by C.P.A. van Wagenberg.
Preventive Veterinary Medicine | 2010
C.P.A. van Wagenberg; G.B.C. Backus; W.E. Kuiper; J.G.A.J. van der Vorst; H.A.P. Urlings
Liver lesion prevalence in slaughtered finishing pigs in the Netherlands remained relatively high from the mid-1990s until 2004, although sufficient measures existed to control the main cause, an infection with the roundworm Ascaris suum. In July 2004 a new incentive mechanism was installed to induce finishing pig producers to increase control of A. suum infections. This paper compares the effectiveness of two Dutch incentive mechanisms: a collective insurance - in place prior to July 2004 - and a reduction in producer payment for each delivered pig with a liver lesion - in place from July 2004. Liver inspection data of pigs slaughtered in 2003-2006 by a major Dutch slaughter company were analysed with an out-of-sample dynamic forecast test and non-parametric bootstrapping. Results showed that after introduction of the price reduction, mean liver lesion prevalence decreased from 9 to 5%. A reduced liver lesion prevalence ranging from 0 to 46 percentage points was observed on 67% of 1069 farms that delivered both during the insurance and the price reduction. The number of farms with a liver lesion prevalence of 5.0% or less increased from 52 to 68%. The price reduction for each pig with a liver lesion was a more effective incentive mechanism to induce finishing pig producers to control A. suum infections than the collective insurance.
Animal | 2013
C.P.A. van Wagenberg; H.M. Snoek; J.B. van der Fels; C.M.C. van der Peet-Schwering; H.M. Vermeer; L. Heres
Pig farms in the Netherlands producing boars have different levels of boar taint prevalence, as assessed by sensory evaluation with the human nose at the slaughter line. With a questionnaire to 152 Dutch pig producers (response rate 59%), farm and management characteristics were identified that are potentially associated with farm-level boar taint prevalence. Lower farm-level boar taint prevalence was associated with a smaller group size, a smaller pen surface per boar, newer housing equipment, not practicing restricted feeding in the last period before delivery, a longer fasting period before slaughter, a higher stocking weight and a lower fraction of boars from purebred dam line sows or from Pietrain terminal boars. These characteristics can be used to develop farm-level intervention strategies to control boar taint. More research effort is needed to establish causal relationships.
Journal of Dairy Science | 2010
A.G.J. Velthuis; M.W. Reij; K. Baritakis; M. Dang; C.P.A. van Wagenberg
The relation between the moment at which a recall of Dutch custard is initiated and the direct costs of this recall was investigated. A simulation model of the custard supply chain was developed to compare scenarios with and without a quarantine of 48 h at the storage of the production plant. The model consists of 3 parts: 1) the distribution of a 24,000-L batch of custard over the supply chain over time is simulated; 2) the time to detect spoilage bacteria with a recontamination test procedure is simulated; and 3) the direct recall costs of custard over the different parts of the supply chain are calculated. Direct recall costs increase from about 25,000 euros/batch to 36,171 euros/batch from 57 to 135 h in the situation without quarantine and from 25,000 euros/batch to 36,648 euros/batch from 123 h to 163 h for the situation with quarantine. Then costs decrease because more and more custard is at the consumer level and only 0.13% of the consumers will ask for a refund. With low true contamination probabilities quarantine is not profitable, but at later detection moments with high probabilities it is. We conclude that a simulation model is a helpful tool to evaluate the efficiency of risk management strategies like end product testing and a quarantine situation.
Animal | 2017
C.P.A. van Wagenberg; Y. de Haas; H. Hogeveen; M.M. van Krimpen; M.P.M. Meuwissen; C.E. van Middelaar; T.B. Rodenburg
To sustainably contribute to food security of a growing and richer world population, livestock production systems are challenged to increase production levels while reducing environmental impact, being economically viable, and socially responsible. Knowledge about the sustainability performance of current livestock production systems may help to formulate strategies for future systems. Our study provides a systematic overview of differences between conventional and organic livestock production systems on a broad range of sustainability aspects and animal species available in peer-reviewed literature. Systems were compared on economy, productivity, environmental impact, animal welfare and public health. The review was limited to dairy cattle, beef cattle, pigs, broilers and laying hens, and to Europe, North America and New Zealand. Results per indicators are presented as in the articles without performing additional calculations. Out of 4171 initial search hits, 179 articles were analysed. Studies varied widely in indicators, research design, sample size and location and context. Quite some studies used small samples. No study analysed all aspects of sustainability simultaneously. Conventional systems had lower labour requirements per unit product, lower income risk per animal, higher production per animal per time unit, higher reproduction numbers, lower feed conversion ratio, lower land use, generally lower acidification and eutrophication potential per unit product, equal or better udder health for cows and equal or lower microbiological contamination. Organic systems had higher income per animal or full time employee, lower impact on biodiversity, lower eutrophication and acidification potential per unit land, equal or lower likelihood of antibiotic resistance in bacteria and higher beneficial fatty acid levels in cow milk. For most sustainability aspects, sometimes conventional and sometimes organic systems performed better, except for productivity, which was consistently higher in conventional systems. For many aspects and animal species, more data are needed to conclude on a difference between organic and conventional livestock production systems.
Preventive Veterinary Medicine | 2017
M.A.P.M. van Asseldonk; C.P.A. van Wagenberg; Henk J. Wisselink
Toxoplasma gondii (T. gondii) is a food safety hazard which causes a substantial human disease burden and cost-of-illness. Infected pig meat is a common source of toxoplasmosis. A break-even analysis was conducted to estimate the point for which the intervention cost at fattening pig farms equaled the cost of averted human disease burden and cost-of-illness minus the costs of a T. gondii surveillance program. The surveillance program comprised serological testing of blood samples taken at slaughter. Break-even points were determined given alternative levels of the effectiveness of the intervention program (10% up to 90% in steps of 10%), the value of an averted DALY (20,000, 50,000 and 80,000 Euro), and threshold of sample prevalence for a farm to be under intervention (5% up to 50% out of 20 samples in steps of 5%). Since test characteristics are a determining factor in the break-even analysis, and literature is inconclusive concerning sensitivity (se) and specificity (sp) of the serological test kit used, two alternative sets of assumptions were analysed. The estimated maximum costs of an intervention if only benefits for domestic consumers were accounted amounted approximately 2981 Euro (se=98.9% and sp=92.7%) versus 4389 Euro (se=65.2% and sp=97.4%) per year per fattening pig farm under intervention assuming an effectiveness of 50%, 50,000 Euro per averted DALY and threshold T. gondii sample prevalence of 5% for a farm to be under intervention. Since almost 80% of the gross domestic production is exported corresponding break-even values increased up to 12,034 Euro and 18,366 Euro if benefits for consumers abroad were included as well. Empirical research to strengthen the knowledge about the efficacy of a farm intervention measures is recommended.
Ecological Indicators | 2014
E.D. van Asselt; L.G.J. van Bussel; H. van der Voet; G.W.A.M. van der Heijden; Seth-Oscar Tromp; Hajo Rijgersberg; F.K. van Evert; C.P.A. van Wagenberg; H.J. van der Fels-Klerx
Microbial Risk Analysis | 2016
C.P.A. van Wagenberg; P.L.M. van Horne; Helle Mølgaard Sommer; Maarten Nauta
Microbial Risk Analysis | 2016
C.P.A. van Wagenberg; P.L.M. van Horne
Njas-wageningen Journal of Life Sciences | 2016
G.B.C. Backus; E.M.F. van den Broek; B. van der Fels; L. Heres; V.M. Immink; E.F. Knol; M. Kornelis; P.K. Mathur; C.M.C. van der Peet-Schwering; J.W. van Riel; H.M. Snoek; A. de Smet; G.M.L. Tacken; N.I. Valeeva; C.P.A. van Wagenberg
Food Research International | 2014
H.J. van der Fels-Klerx; C.P.A. van Wagenberg