PhD theses

All Wageningen University PhD theses

  • external user (warningwarning)
  • Log in as
  • language uk
  • About

    Wageningen PhD theses

    This database contains bibliographic descriptions of all Wageningen University PhD theses from 1920 onwards. It is updated on a daily basis by WUR Library.

    Author abstracts and/or summaries are added to all descriptions. A link to the full text dissertation is added to the bibliographic description. In a few cases, no electronic version is available, mostly because of copyright issues.

    Hard copies of all theses are available for loan at WUR Library. To request them, click the link Request this publication in the full record presentation. This is a fee based service.

    mail icon WUR Library, 9 july 2012


Record number 1613265
Title Modelling of animal welfare : the development of a decision support system to assess the welfare status of pregnant sows
show extra info.
Marc B.M. Bracke
Author(s) Bracke, M.B.M.
Publisher [S.l. : s.n.]
Publication year 2001
Description 150 p
Description 1 online resource (150 p)
Notes Proefschrift Wageningen
ISBN 9058083918
Tutors Spruijt, Prof. Dr. B.M. ; Metz, Prof. Dr. Ir. J.H.M. ; Schouten, Dr. W.G.P.
Graduation date 2001-04-17
Dissertation no. 2964
Author abstract show abstract

A computer-based decision support system for welfare assessment in pregnant sows was constructed. This system uses a description of a husbandry system as input and produces a welfare score on a scale from 0 to 10 as output. Pregnant sows were chosen as a case in search for a formalised, i.e. structured, transparent, yet flexible procedure to 'objectively' assess the overall welfare status of farm animals in relation to the housing and management system based on available (and undisputed) scientific knowledge. The procedure to construct the welfare model and to calculate welfare scores is described. Decision making is based on the needs and distress of the animal thus from the perspective of the animal.

The sow welfare (SOWEL) model was validated using expert opinion in that there is a substantial agreement between pig welfare scientists and the model about the ranking of housing systems and, to a lesser degree, about the weighting of attributes of housing systems. The most important welfare-relevant attributes concern aspects of social contact, space, and substrate. The housing systems were roughly divided into low-, mid-, and high-welfare systems. Low-welfare systems were conventional housing in individual stalls and tethers, while high-welfare systems in our data set all provided substrate and outdoor access.

For practical applications further development of the decision support system is recommended, as well as ongoing validation, upgrading and extending of the model, e.g. to other species. The results show that integrated welfare assessment based on available scientific knowledge is possible.

Keywords : farm animal welfare assessment, pigs, applied ethology, housing systems, model, computer, knowledge base, expert system.

Online full textINTERNET
On paper Get the document, find related information or use other SFX services
Keyword(s) pigs / sows / models / animal welfare / basic needs / animal housing / management / assessment / experts / interviews / computer software / decision support systems
Categories Pigs
Publication type PhD thesis
Language English
About cum laude graduation (with distinction)
There are no comments yet. You can post the first one!
Post a comment

To support researchers to publish their research Open Access, deals have been negotiated with various publishers. Depending on the deal, a discount is provided for the author on the Article Processing Charges that need to be paid by the author to publish an article Open Access. A discount of 100% means that (after approval) the author does not have to pay Article Processing Charges.

For the approval of an Open Access deal for an article, the corresponding author of this article must be affiliated with Wageningen University & Research.

Please log in to use this service. Login as Wageningen University & Research user or guest user in upper right hand corner of this page.