Affiliation:
1. The School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, Sydney, NSW 2006, Australia
2. NSW Department of Primary Industries, Orange, NSW 2800, Australia
Abstract
Monitoring livestock allows insights to graziers on valuable information such as spatial distribution, foraging patterns, and animal behavior, which can significantly improve the management of livestock for optimal production. This study aimed to understand what potential variables are significant for predicting where sheep spent the most time in native (NP) and improved (IP) paddocks. Wethers (castrated male sheep) were tracked using Global Positioning System (GPS) collars on 15 sheep in the IP and 15 in the NP, respectively, on a property located in the Monaro region of Southern New South Wales, Australia. Trials were performed over four six-day periods in April, July, and November of 2014 and March in 2015. Data were analyzed to understand various trends that may have occurred during different seasons, using random forest models (RFMs). Of the factors investigated, Normalized Difference Vegetation Index (NDVI) was significant (p < 0.01) and highly important for wethers in the IP, but not the NP, suggesting that quality of pasture was key for wethers in the IP. Elevation, temperature, and near distance to trees were important and significant for predicting residency of wethers in the IP, as well as the NP. The result of this study highlights the ability of predictive models to provide insights on behavior-based modelling of GPS data and further enhance current knowledge about location-based choices of sheep on paddocks.
Funder
Australian Wool Education Trust scholarship
Coolringdon Research Trust Scholarship
Subject
General Veterinary,Animal Science and Zoology
Reference72 articles.
1. Evaluation of a GPS collar for white-tailed deer;Bowman;Wildl. Soc. Bull.,2000
2. Characterising the spatial and temporal activities of free ranging cows from GPS data;Anderson;Rangel. J.,2012
3. Site use of grazing cattle and sheep in a large-scale pasture landscape: A GPS/GIS assessment;Putfarken;Appl. Anim. Behav. Sci.,2008
4. Trotter, M., Lamb, D., and Hinch, G.N. (2009, January 5–6). GPS livestock tracking: A pasture utilisation monitor for the grazing industry. Proceedings of the 24th Annual Conference of the Grassland Society of NSW, Taree, Australia.
5. Categorising sheep activity using a tri-axial accelerometer;Barwick;Comput. Electron. Agric.,2018