Temporal-spatial associations of large groups of laying hens in a quasi-commercial barn

Social behaviour is established in animal systems with clear benefits, including improved welfare, where conspecifics can attenuate the effects of stress. Previous work from our group demonstrated that laying hens moved in a coordinated manner through the external areas of a barn. The current work sought to expand on this initial finding by focusing on movements within a barn. For this purpose, from 17 weeks of age the location of 1125 hens within five pens (225 hens/pen) were tracked. We used radio frequency identification (RFID) transponders in a commercially-relevant barn consisting of thirty-two antennae placed throughout a multi-tier aviary with access to an external wintergarden. After processing transponder registrations, our final dataset comprised location data for 1122 individuals along 214 days and was used to determine spatio-temporal associations with the Gaussian Mixture Model method. We explored associations among individuals within different areas, whether weekly social networks changed over time, and if multiple community structures were present within pens. Social networks were more structured than by chance (mean p-value across weeks < 0.001, range: 0–0.0006), though associations were generally weak with hens affiliated with all other hens. Association indices decreased with age (t = -120.20, df = 877894, p < 0.001), though approximately 10.3 % of hens had at least one relatively strong and durable tie that appeared to last for the entire 36-weeks observation period. Node strength was generally low (12.44 ± 2.24, range: 1.57–19.28), though strength values among hens within the same week varied greatly. Social networks were dynamic across time but also showed a temporal correlation such that association matrices were more correlated closer in time (range R: 0.12–0.90, mean: 0.55, corrected p-values < 0.01). We found no evidence of community structure using any algorithm. Our study indicated that hens within a relatively large group did not seem to manifest strong movement associations. Yet, a proportion of individuals maintained ties for the entire observation period, which could be associated with social motivations. We believe our work establishes a foundation to consider benefits of social connections on hen welfare within commercial laying hen systems. • It is still unclear if hens kept in large flocks can establish and keep social bonds. • We tracked large hen flocks across several weeks and extracted social networks. • Associations among birds were weak but social networks were dynamic in time. • Some associations were stronger and more durable. • High animal density might hinder observation or development of social behaviour.

Authors

Institutions

Publication Details

Journal
Applied Animal Behaviour Science
Published
2025-02-01
DOI
https://doi.org/10.1016/j.applanim.2025.106516
Citations
5
Primary Topic
Animal Nutrition and Physiology
Type
article
Field-Weighted Citation Impact
5.97

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Temporal-spatial associations of large groups of laying hens in a quasi-commercial barn

Michael J. Toscano, Elisa Perinot, Matthew B. Petelle, Yamenah Gómez
5 citations
Applied Animal Behaviour Science
Animal Nutrition and Physiology
5.97
article

Temporal-spatial associations of large groups of laying hens in a quasi-commercial barn

Michael J. Toscano, Elisa Perinot, Matthew B. Petelle, Yamenah Gómez
article en
5 citations

Abstract

Social behaviour is established in animal systems with clear benefits, including improved welfare, where conspecifics can attenuate the effects of stress. Previous work from our group demonstrated that laying hens moved in a coordinated manner through the external areas of a barn. The current work sought to expand on this initial finding by focusing on movements within a barn. For this purpose, from 17 weeks of age the location of 1125 hens within five pens (225 hens/pen) were tracked. We used radio frequency identification (RFID) transponders in a commercially-relevant barn consisting of thirty-two antennae placed throughout a multi-tier aviary with access to an external wintergarden. After processing transponder registrations, our final dataset comprised location data for 1122 individuals along 214 days and was used to determine spatio-temporal associations with the Gaussian Mixture Model method. We explored associations among individuals within different areas, whether weekly social networks changed over time, and if multiple community structures were present within pens. Social networks were more structured than by chance (mean p-value across weeks < 0.001, range: 0–0.0006), though associations were generally weak with hens affiliated with all other hens. Association indices decreased with age (t = -120.20, df = 877894, p < 0.001), though approximately 10.3 % of hens had at least one relatively strong and durable tie that appeared to last for the entire 36-weeks observation period. Node strength was generally low (12.44 ± 2.24, range: 1.57–19.28), though strength values among hens within the same week varied greatly. Social networks were dynamic across time but also showed a temporal correlation such that association matrices were more correlated closer in time (range R: 0.12–0.90, mean: 0.55, corrected p-values < 0.01). We found no evidence of community structure using any algorithm. Our study indicated that hens within a relatively large group did not seem to manifest strong movement associations. Yet, a proportion of individuals maintained ties for the entire observation period, which could be associated with social motivations. We believe our work establishes a foundation to consider benefits of social connections on hen welfare within commercial laying hen systems. • It is still unclear if hens kept in large flocks can establish and keep social bonds. • We tracked large hen flocks across several weeks and extracted social networks. • Associations among birds were weak but social networks were dynamic in time. • Some associations were stronger and more durable. • High animal density might hinder observation or development of social behaviour.

Applied Animal Behaviour ScienceVol. 283
Federal Food Safety and Veterinary Office (CH)
Open Philanthropy Project, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
Openalex Percentile: Top 4%
Animal Nutrition and Physiology
5.97
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.