Preliminary study on the extention of the IT system ClassyFarm to the apiary
DOI:
https://doi.org/10.21014/actaimeko.v13i2.1630Keywords:
Apis mellifera, honey bee, welfare, beekeepingAbstract
ClassyFarm is a new IT system of the Italian Ministry of Health for the risk categorization of livestock farms in relation to four areas: animal welfare, biosecurity, antimicrobial usage and antimicrobial resistance. Within ClassyFarm, on-farm welfare measurement is carried out using protocols based on both resource-based indicators and animal-based indicators. The aim of this study was to develop a welfare measurement protocol for the apiary. Sixteen Italian beekeeping experts were involved into a focus group to discuss a list of resource-based and animal-based indicators, previously selected by the authors by means of a review of the scientific literature, in order to identify effective and significant welfare indicators to be collected in the field. Despite the difficulties encountered related to the nature of honey bees and the lack of scientific knowledge about their welfare, 12 resource-based and 7 animal-based indicators were identified as potentially able to screen the welfare of honey bee colonies in the apiary. This study represents the first step towards the future extension of the ClassyFarm system to the apiary.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Clara Montagnin, Matteo Frasnelli, Francesca Fusi, Paolo Bonilauri, Luigi Bertocchi, Valentina Lorenzi
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).