AUTHOR=van der Zande Lisette E. , Guzhva Oleksiy , Parois Séverine , van de Leemput Ingrid A. , Bolhuis J. Elizabeth , Rodenburg T. Bas TITLE=Estimation of Resilience Parameters Following LPS Injection Based on Activity Measured With Computer Vision JOURNAL=Frontiers in Animal Science VOLUME=3 YEAR=2022 URL=https://www.frontiersin.org/journals/animal-science/articles/10.3389/fanim.2022.883940 DOI=10.3389/fanim.2022.883940 ISSN=2673-6225 ABSTRACT=
Resilience could be referred to as the animal’s ability to successfully adapt to a challenge. This is typically displayed by a quick return to initial metabolic or activity levels and behaviors. Pigs have distinct diurnal activity patterns. Deviations from these patterns could potentially be utilized to quantify resilience. However, human observations of activity are labor intensive and not feasible in practice on a large scale. In this study, we show the use of a computer vision tracking algorithm to quantify resilience based on activity individual patterns following a lipopolysaccharide (LPS) challenge, which induced a sickness response. We followed 121 individual pigs housed in barren or enriched housing systems, as previous work suggests an impact of housing on resilience, for eight days. The enriched housing consisted of delayed weaning in a group farrowing system and extra space compared with the barren pens and environmental enrichment. Enriched housed pigs were more active pre-injection of LPS, especially during peak activity times, than barren housed pigs (49.4 ± 9.9