ArticleJournal of animal science2026
Diurnal and day-to-day movement patterns of finishing pigs on deep straw bedding during the last 20 d before slaughter.
Article in Journal of animal science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Abstract
Monitoring movement patterns of pigs provides valuable insight into welfare, health, and adaptation to housing environments, yet individual- and time-resolved evidence from deep-straw systems is limited. We monitored 16 finishing pigs housed on deep straw bedding during the last 20 d before slaughter using an RFID (radio-frequency identification)-LoRaWAN (Long Range Wide Area Network) system. One-Hz detections were converted to estimated distance from the receiver and aggregated to hourly movement (cm·h-1). In total, 7,680 pig×day×hour records were possible (16 pigs × 20 d × 24 h); hours without valid positioning data were excluded, resulting in 6,026 records for inferential analyses. Hourly movement was analyzed using a linear mixed model with fixed effects of hour, day, and their interaction, a random intercept for pig, and an AR(1) residual structure. Pigs exhibited a clear diurnal rhythm with movement lowest during the night and peaking between midday and afternoon. Movement differed among days, and the day × hour interaction showed day-specific modulation of the diurnal profile. Between-pig differences were substantial (ICC ≈ 0.29), supporting the use of individual baselines for precision monitoring. Environmental covariates (temperature, relative humidity, PM2.5) were not associated with movement in the day-by-timeline model. These results highlight the value of hour-aware and individualized approaches when using movement data for precision livestock farming applications in enriched housing.
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