Using temporal associations to determine postpartum oestrus in tropical beef cows
journal contribution
posted on 2019-02-27, 00:00 authored by Nicholas Corbet, Kym Patison, Donald Menzies, David SwainDavid SwainThe radio frequency identification (RFID) technology introduced with the National Livestock Identification System has increased the precision of livestock management. Tag readers incorporated in walk-over-weighing systems have enabled automated collection of daily RFID sequential data as cattle access water. The temporal sequence of individuals accessing a watering point in a rangeland grazing system could potentially provide knowledge of key aspects of animal behaviour. The current study investigated the use of the shortest daily average interval of time from cow to bull (TTB) coming to water over a 29-day period to predict postpartum oestrus events. Fifteen Brahman and 15 Belmont Red cows mated to bulls of the same breed in separate paddocks were fitted with proximity loggers, heat-mount detectors and were ovarian-scanned with ultrasonics to determine the timing of postpartum oestrus. The data collected from these devices were compared with RFID sequence data of the bulls following cows to water to evaluate whether TTB alone could predict oestrus activity. At the start of the experimental period, mean (±s.d.) weight and days postpartum of the Brahman cows were 527 (±43.4) kg and 89 (±18.4) days respectively, and of the Belmont Red cows 513 (±54.1) kg and averaged 66 (±19.6) days postpartum. Six of the 15 Brahman cows and 9 of the 15 Belmont Red cows displayed oestrus activity, as indicated by increased contact with the bull, an activated heat-mount detector and the presence of an ovarian corpus luteum. The sensitivity and specificity of TTB as an indicator of oestrus events across the groups were 0.65 and 0.60 respectively. Temporal sequence data have the potential to contribute to the determination of oestrus and date of conception. © 2018 CSIRO.
Funding
Category 3 - Industry and Other Research Income
History
Volume
58Issue
8Start Page
1465End Page
1469Number of Pages
5eISSN
1836-5787ISSN
1836-0939Publisher
CSIRO Publishing, AustraliaPublisher DOI
Full Text URL
Peer Reviewed
- Yes
Open Access
- No
Acceptance Date
2018-03-30Author Research Institute
- Institute for Future Farming Systems
Era Eligible
- Yes
Journal
Animal Production ScienceUsage metrics
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