Porcine Health Manag
August 2025
Background: Modern sensor technologies and algorithms have the potential to continuously monitor indicators of individual animal welfare, but in growing-finishing pigs the validity of such welfare monitoring remains low for unclear reasons. This study explored how sudden deviations in individual pig feeding behaviour, detected as alerts by a dynamic linear model with Kalman filter, relate to the onset of welfare issues.
Results: Alerts frequencies varied across feeding behaviour components, with higher occurrences for feed intake, feeding duration, feeding rate and night intake (approximately 14.
Using sensors, the health and welfare of growing-finishing pigs can be continuously monitored by detecting deviations from pigs' normal behaviour, but the validity of such algorithms requires improvement. As changes in the environment influence pig behaviour, monitoring temporal changes in environmental factors may help identify periods with a higher risk of welfare issues. The real-time relationships between pig welfare and many environmental factors are, however, not well-understood.
View Article and Find Full Text PDFAffective states can be inferred from responses to ambiguous and threatening stimuli, using Judgement Bias Tasks (JBTs) and Attention Bias Tasks (ABTs). We investigated the separate and interactive effects of personality and housing conditions on dairy cattle affective states. We assessed personality in 48 heifers using Open-Field, Novel-Object and Runway tests.
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