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Jef Van Meensel   Dr.  Senior Scientist or Principal Investigator 
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Jef Van Meensel published an article in January 2018.
Top co-authors See all
Jeroen Buysse

67 shared publications

Edwin Claerebout

62 shared publications

G. Van Huylenbroeck

35 shared publications

Jan Jaap Poos

28 shared publications

Ludwig Lauwers

23 shared publications

12
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Publication Record
Distribution of Articles published per year 
(1970 - 2018)
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11
 
Publications See all
Article 0 Reads 0 Citations Optimising finishing pig delivery weight: participatory decision problem analysis F. Leen, A. Van Den Broeke, M. Aluw�, L. Lauwers, S. Millet,... Published: 01 January 2018
Animal Production Science, doi: 10.1071/an16098
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The seemingly straightforward question of optimal pig delivery weight is more complex than meets the eye. Despite abundant research insights, the industry continues to request additional applied scientific decision support on the delivery weight problem. The current objective is to investigate whether and how the complex decision of delivery weight can be reshaped (reframed) into a more tangible and comprehensible system of factors that matter for making the right decision. We used a participatory decision problem analysis, which resulted in modelling blueprints that incorporate factors prioritised by stakeholders for determining optimal delivery weights. How to efficiently organise such a ‘problem reframing process’ is case-specific: it depends on the objective, the initial problem understanding by the stakeholders, and their learning potential. Efficient co-learning is a prerequisite for successful participatory problem analysis. Our study reveals that the first step in such a process of ‘problem reframing’ should therefore be to answer the question of how to effectively organise co-learning among stakeholders and researchers, instead of starting with a correct and detailed representation of the problem. Useful guidelines for participatory problem reframing processes are (1) providing sufficient participatory learning steps, (2) having few and clearly defined objectives per learning step, (3) providing adapted learning tools per step, (4) establishing a common language and (5) deliberately choosing stakeholders based on prior knowledge of the problem or its context, potential motivation or incentives to be part of the participatory process step and potential role in up-scaling the co-learning process to a larger group of beneficiaries.
Article 0 Reads 1 Citation Low-input dairy farming in Europe: Exploring a context-specific notion J. Bijttebier, J. Hamerlinck, S. Moakes, N. Scollan, J. Van ... Published: 01 September 2017
Agricultural Systems, doi: 10.1016/j.agsy.2017.05.016
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Article 1 Read 0 Citations How Advanced Efficiency Techniques Can Support Production Disease Control Decisions on Dairy Farms Mariska van der Voort, Jef Van Meensel, Johannes Charlier, G... Published: 15 May 2017
EuroChoices, doi: 10.1111/1746-692X.12152
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EnglishFrenchGermanSummaryProduction diseases in dairy cows can have significant effects on farm business performance. Decisions about controlling production diseases are mainly based on veterinary advice. However, from an economic perspective, mere diagnosis of disease does not provide enough information for intervention decisions. Well-founded decisions are based on knowledge of the economic effects of production diseases and their control measures. One challenge for dairy farmers and advisors is to access farm-specific tools that can determine the effect of a disease on farm business performance. Efficiency analysis facilitates a more integrated economic-epidemiological view by considering the aggregate transformation of inputs into outputs; it also enables advanced benchmarking within a set of farms. With efficiency analysis, the effect of diseases on economic performance can be studied and farm-specific economic-epidemiological win–win scenarios can be identified. Additionally, the contribution of disease control in moving farms closer to performance benchmarks can be determined. The main challenges for practical application of these techniques are the linking of animal disease metrics with farm accountancy information and integrating farm-economic principles into veterinary advice.AbstractLes maladies des vaches laitières affectant la production peuvent avoir des effets non négligeables sur la performance économique des exploitations agricoles. Les décisions en matière de lutte contre les maladies animales sont principalement fondées sur les conseils vétérinaires. Cependant, d'un point de vue économique, le simple diagnostic de la maladie ne fournit pas suffisamment d'information pour guider les décisions en matière d'intervention. Des décisions bien fondées s'appuient sur la connaissance des effets économiques des maladies affectant la production et des mesures de lutte contre ces maladies. Un défi pour les éleveurs laitiers et les conseillers est d'accéder à des outils adaptés à chaque exploitation, lui permettant de déterminer les effets de la maladie sur sa performance économique. L'analyse coût-efficacité contribue à donner une vue plus intégrée des questions épidémiologiques et économiques en considérant la transformation agrégée des intrants en produits ; elle permet aussi de comparer finement l'exploitation en question avec un ensemble d'exploitations. Avec cette analyse, les effets des maladies sur la performance économique peuvent être étudiés, et des scénarios gagnant-gagnant aux plans épidémiologique et économique peuvent être identifiés au niveau de l'exploitation. En outre, il est possible de déterminer combien les mesures de lutte contre les maladies vont rapprocher l'exploitation des performances de référence. Les principales difficultés de l'application pratique de ces techniques concernent la liaison entre la métrique s'appliquant aux maladies animales et l'information sur les comptes des exploitations, et l'intégration des principes économiques de gestion des exploitations agricoles dans les conseils vétérinaires.AbstractProduktionskrankheiten können den wirtschaftlichen Erfolg von Milchviehbetrieben erheblich beeinflussen. Entscheidungen zur Behandlung dieser Krankheiten werden meistens auf der Grundlage von tierärztlichem Rat getroffen. Aus ökonomischer Sicht beinhaltet die bloße Diagnose der Krankheit jedoch nicht genügend Informationen, um eine Entscheidung für einen Eingriff zu treffen. Fundierte Entscheidungen können nur mit dem Wissen über die ökonomischen Auswirkungen von Produktionskrankheiten und über die entsprechenden Maßnahmen zur Behandlung getroffen werden. Eine Herausforderung für Milcherzeuger und Berater besteht darin, auf betriebsspezifische Tools zuzugreifen, welche die Auswirkungen einer Tierkrankheit auf den wirtschaftlichen Erfolg ermitteln können. Effizienzanalysen können dabei helfen, die ökonomisch-epidemiologischen Zusammenhänge einer Tierkrankheit umfassender zu betrachten, indem sie die Umwandlung aller Inputs zu Outputs untersuchen. Zudem ermöglichen solche Tools einen erweiterten Leistungsvergleich innerhalb einer Reihe von Betrieben. Mit Hilfe von Effizienzanalysen können die Auswirkungen einer Tierkrankheit auf den wirtschaftlichen Erfolg untersucht und betriebsspezifische ökonomisch-epidemiologische Win-win-Szenarien ermittelt werden. Darüber hinaus kann untersucht werden, inwieweit die Behandlung der Tierkrankheit zur Annäherung der Betriebe an den Leistungsmaßstab beiträgt. Die größten Herausforderungen für die praktische Anwendung dieser Tools bestehen zum einen in der Verknüpfung von krankheitsbezogenen Daten mit Daten aus der landwirtschaftlichen Buchführung und zum anderen in der Einbeziehung von betriebswirtschaftlichen Grundsätzen in die tierärztliche Beratung.
Article 1 Read 2 Citations Economic modelling of grazing management against gastrointestinal nematodes in dairy cattle M. van der Voort, J. Van Meensel, L. Lauwers, M.H.A. de Han,... Published: 01 March 2017
Veterinary Parasitology, doi: 10.1016/j.vetpar.2017.02.004
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Grazing management (GM) interventions, such as reducing the grazing time or mowing pasture before grazing, have been proposed to limit the exposure to gastrointestinal (GI) nematode infections in grazed livestock. However, the farm-level economic effects of these interventions have not yet been assessed. In this paper, the economic effects of three GM interventions in adult dairy cattle were modelled for a set of Flemish farms: later turnout on pasture (GM1), earlier housing near the end of the grazing season (GM2), and reducing the daily grazing time (GM3). Farm accountancy data were linked to Ostertagia ostertagi bulk tank milk ELISA results and GM data for 137 farms. The economic effects of the GM interventions were investigated through a combination of efficiency analysis and a whole-farm simulation model. Modelling of GM1, GM2 and GM3 resulted in a marginal economic effect of € 8.36, € -9.05 and € -53.37 per cow per year, respectively. The results suggest that the dairy farms can improve their economic performance by postponing the turnout date, but that advancing the housing date or reducing daily grazing time mostly leads to a lower net economic farm performance. Overall, the GM interventions resulted in a higher technical efficiency and milk production but these benefits were offset by increased feed costs as a result of higher maintenance and cultivation costs. Because the results differed highly between farms, GM interventions need to be evaluated at the individual level for appropriate decision support.
Article 0 Reads 0 Citations Cognitive mapping of organic vegetable production in Flanders to support farmers strategy design M. Strubbe, J. Bijttebier, J. Van Meensel, F. Marchand, L. L... Published: 01 August 2016
Acta Horticulturae, doi: 10.17660/ActaHortic.2016.1137.39
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Article 0 Reads 1 Citation Competitive interactions between two fishing fleets in the North Sea Klaas Sys, Jan Jaap Poos, Jef Van Meensel, Hans Polet, Jeroe... Published: 16 March 2016
ICES Journal of Marine Science, doi: 10.1093/icesjms/fsw008
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We examine whether the landing rates of Belgian beam trawlers in the Southern Bight of the North Sea were affected through competitive interactions with the Dutch beam trawler fleet and whether the development of a pulse trawler fleet has altered competitive interactions between both fleets. Effects of competition were investigated through a natural experiment based on the different weekly exploitation patterns of both fleets. Logbook data were used to fit a generalized additive mixed model for the daily landing rates of the target species sole (Solea solea) and plaice (Pleuronectes platessa). Results showed that landing rates of sole by the Belgian beam trawlers (>221 kW) from 2006 to 2013 were lower during weekdays than during weekends when the Dutch trawler fleet is in harbour, while no such an effect was found for plaice. After the development of a pulse trawler fleet in 2011, the negative weekday effect in the sole landing rates was much more pronounced in 2012 and 2013. This increased loss of efficiency during weekdays, as a result of increased competition with the Dutch trawler fleet, coincided with a reallocation of fishing effort by the Belgian beam trawler fleet.