B.GBP.0058 - 'uSuckled': Detection of maternal behaviours associated with suckling in beef cattle- S
Did you know losses from pregnancy diagnosis to weaning is a significant contributor to reduced productivity in northern Australia?
| Project start date: | 20 July 2021 |
| Project end date: | 14 September 2023 |
| Publication date: | 14 August 2023 |
| Livestock species: | Grass-fed Cattle |
| Relevant regions: | Northern Australia |
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Download Report
(2.4 MB)
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Summary
Losses from pregnancy diagnosis to weaning have been a significant factor contributing to reduced productivity in northern Australia's beef breeding herds. However, there is a need for research tools that can accurately detect calving events, assess calf viability during critical periods, and be implemented on a commercial scale. This project sought to explore the possibility using suckling as an indicator of calf wellbeing, and identifying suckling behaviour in extensive cattle systems using remote monitoring technology.
Objectives
The objectives of this project were to test a proposed methodology to:
-detect material behaviours associated with suckling in beef cattle using remote monitoring devices (such as accelerometers, sound monitors and GPS trackers) attached to free-grazing first-lactation cows
-describe the association between frequency and duration of suckling and pre-weaning average daily gain of calves.
Key findings
The analyses of sensor (accelerometer) and observational (notes and video) data indicate that accurate recognition of calf suckling behaviour from eartag accelerometer readings is likely possible given sufficient labelled data. However, detecting when a cow is suckled using either collar or eartag accelerometer data does not appear to be feasible given the available labelled data. Additionally, findings also revealed a lack of association between suckling time and growth rate in calves.
Benefits to industry
This study contributes valuable insights into the potential of remote technology for monitoring suckling behaviour in beef calves and cows. It highlights the effectiveness of ear tag accelerometers and emphasises the need for further validation and exploration. Additionally, the findings caution against solely relying on suckling duration as an indicator of milk and energy intake in calf growth.
MLA action
MLA will continue to invest in research that improves reproductive efficiency and herd productivity.
Future research
This project highlighted challenges associated with remote sensing technology in extensive production systems, and with identifying calving. Further research questions include gaining a better understanding of calving events, maternal and nursing behaviours, and calf loss.
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For more information Contact Project Manager: Ainsley Smith |
