Nakov, Dimitar and Trajchev, Metodija (2021) Inter-observer reliability for Quality Behavioural Assessment in growing pigs. In: Better science for better animal welfare, 24-25 June 2021.
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Abstract
More recently, growing consumer demand both for quality food products and more ethical food production has meant that farm animal welfare is emerging as an area of potential added value for producers, retailers and other food chain actors. Under the influence of economics and increased yield per animal, pig welfare and behaviour were neglected. Pig farming became more intensive and controlled which resulted in rearing animals under confinement. All these demands dramatically increase the efforts to develop methods for assessing animal welfare and behaviour at farm level. As result, Welfare Quality® (WQ) protocols were developed by the researchers, culminating in the protocols developed by the European Welfare Quality program (Welfare Quality®, 2009). For pigs, protocols exist for growing pigs and for sows in all production stages, including suckling piglets. One method which may be suitable as a screening tool for identifying farms with compromised welfare before applying the full WQ protocol is Qualitative Behavior Assessment (QBA) which relies on a human observer’s ability to integrate perceived details of an animal’s demeanor and its context, using ‘whole animal’ descriptors such as active, fearful, calm, playful, content, indifferent or happy, etc. Based on these premises, many authors (Boissy et al., 2007; Wemelsfelder and Millard, 2009) have argued that QBA could potentially function as an integrative welfare assessment tool, complementing existing tools that focus on specific aspects of behavior and welfare. The main objective of this research was the inter-observer reliability for practical assessment of QBA protocol.
Item Type: | Conference or Workshop Item (Speech) |
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Subjects: | Agricultural Sciences > Veterinary science |
Divisions: | Faculty of Agriculture |
Depositing User: | Dimitar Nakov |
Date Deposited: | 26 Jan 2023 17:06 |
Last Modified: | 26 Jan 2023 17:06 |
URI: | https://eprints.ugd.edu.mk/id/eprint/30503 |
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