Publikationsdatenbank

Network analysis of free-range egg laying hens movements obtained using RFID sensors (2021)

Art

Vortrag

Autoren

Belik, Vitaly (WE 16)

Jarynowski, Andrzej (WE 16)

Boshoff, Johann

Schneider, Derek

Sibanda, Terence

Ruhnke, Isabelle

Kongress

27. DACH-Epidemiologietagung „Epidemiologie in der ökologischen Landwirtschaft“

Universität Bern, 01. – 03.09.2021

Quelle

27. DACH-Epidemiologietagung „Epidemiologie in der ökologischen Landwirtschaft“ : 1 27. DACH-Epidemiologietagung „Epidemiologie in der ökologischen Landwirtschaft“ Gemeinsame Tagung des Forums für Epidemiologie und Tiergesundheit Schweiz der DVG-Fachgruppe „Epidemiologie und Dokumentation“ Institut für Öffentliches Veterinärwesen der Vetmeduni Wien in Verbindung mit der Vetsuisse Fakultät der Universität Bern — Veterinary Public Health Institut (Hrsg.)

Bern, 2021 — S. 66

Sprache

Englisch

Verweise

URL (Volltext): http://dachepi.vphibern.ch/wp-content/uploads/2021/08/Tagungsband_DACH-Epidemiologietagung2021.pdf

Kontakt

Institut für Veterinär-Epidemiologie und Biometrie

Königsweg 67
14163 Berlin
+49 30 838 56034
epi@vetmed.fu-berlin.de

Abstract / Zusammenfassung

RFID sensors is a promising technology for wellfare and health conditions assessment in the egg production industry. We analyse the dataset on free-range hens movements in Australia from 18 000 commercial laying hens using a highly innovative custom-built RFID system, which allowed to trace individual hen movements on the range and in the hen house for the entire 56 week duration of the laying period. Based on the data, we construct the
corresponding individual mobility networks with nodes being locations and links being movements between them. We investigate the resulting networks in terms of degree distribution and higher order correlation structures, such as clustering coefficient, motifs, communities and centrality measures. We also correlate the obtained network measures with activity patterns and health characteristics of the hens. Our study demonstrates that health and performance indicators enriched with the network analysis promise to improve the hens well-being as well as to allow targeted interventions and optimise economical efficiency of the egg production industry.