Technical note: validation of an automated feeding system for measuring individual animal feed intake in sheep housed in groups

Stephanie K Muir; Nick P Linden; Andrew Kennedy; Grace Calder; Gavin Kearney; Richard Roberts; Matthew I Knight; Ralph Behrendt

doi:10.1093/tas/txaa007

Technical note: validation of an automated feeding system for measuring individual animal feed intake in sheep housed in groups

Transl Anim Sci. 2020 Jan 17;4(2):txaa007. doi: 10.1093/tas/txaa007. eCollection 2020 Apr.

Authors

Stephanie K Muir¹, Nick P Linden², Andrew Kennedy³, Grace Calder⁴, Gavin Kearney⁵, Richard Roberts⁶, Matthew I Knight¹, Ralph Behrendt¹

Affiliations

¹ Agriculture Victoria Research, Department of Jobs, Precincts and Regions, Hamilton, Victoria, Australia.
² Biosecurity and Agriculture Services, Department of Jobs, Precints and Regions, Rutherglen, Victoria, Australia.
³ Thrive Agri Services, Hamilton, Victoria, Australia.
⁴ Biosecurity and Agriculture Services, Department of Jobs, Precints and Regions, Ballarat, Victoria, Australia.
⁵ Hamilton, Victoria, Australia.
⁶ ZI-Argus Australia Pty Ltd., Clayton, Victoria, Australia.

Abstract

The development of feeding systems that can individually measure and control feed intake in a group-housed environment would allow a greater understanding of sheep intake without compromising animal welfare and behavior through the removal of social interactions between sheep. This study validated an automated feeding system for measuring feed intake of individual sheep when housed in groups. Validation of the feeding system was conducted during three separate experiments. The validation sampling involved the activation of four individual "feed events," whereby four separate samples weighing approximately 50, 100, 200, and 400 g were removed from each feeder, with each feed event being linked to a specific radio frequency identification (RFID) tag. The feeder validation experiments evaluated the ability of the feeding system to 1) create a unique feed event every time a sample of pellets was collected from the feeder, 2) link the feed event to the correct RFID, and 3) accurately record the weight of feed that was manually removed. All feed events were initiated and logged in the feeding system with 100% of the events being linked to the correct test RFID. Concordance correlation coefficients between the feeding system-recorded feed weight and the manually removed weight were 0.99 within all three experiments. There was also no overall and little level-dependent bias between the weights measured by the feeding system and weights measured on the external scales. These results indicate the stability of the feeding system over time and consistency between the feeders within and across the three experiments. In conclusion, the automated feeding system developed for measuring individual animal feed intake was able to detect and record the unique electronic RFID associated with unique feed events and accurately capture the weight of feed removed. Furthermore, there was no change in the accuracy of the system from the start to the end of experimental periods, and the amount of feed removed in the feed event (or meal size) did not impact the accuracy of the results.

Keywords: automated feeding systems; data capture; feed intake; sheep.