The importance of automatic systems in the prediction of calving in cattle Flashcards
Calving
• Numerous changes before calving o Anatomy ▪ Udder development ▪ Relaxation of the pelvic ligament ▪ Vulva oedema o Physiological ▪ Hormonal changes ▪ Behavioural changes ▪ Body temperature changes • Onset of calving
Calving prediction
Classical method
- Date of AI – expected day of calving
- Visual observation
- Not able to predict the precise day and time of calving (difference can be days)
Calving prediction
Modern calving monitoring
- Camera systems
* Sensors
Calving prediction
Importance
• Dystocia (prevent it) o Complications affecting the cow o Complications affecting the calf o Economy • Organising labour – available workers o Obstetrical examination – assistance o Care for the dam and calf
Equipment suitable for the detection of calving
A. Measurement of general physiological parameters
• RT
• Reticuloruminal temperature and pH
• Activity
B. Specific equipment of the detection of calving
• Special inclinometers/accelerometers (tail)
• Vaginal thermometers – temperature decreases
• Vaginal/vulvar sensor – appearance of the calf in the birth canal
• Abdominal harnesses – straining, uterine contractions
A. Measurement of general physiological parameters
Ruminal time
• RT decreases noticeable on Day 1 before calving:
o 15% (Schirmann et al. 2013)
o 26% (Büchel et al. 2014)
• Significant drop in RT 4 to 8 hours before calving
• Resumption of rumination after calving
o 4 to 6 hours (Büchel et al. 2014)
o 355 min on average (approx. 6 hours) (Pahl et al. 2014)
A. Measurement of general physiological parameters
Reticuloruminal temperature
- Core temperature decreases in the days before calving (Day 4 to 7)
- Significant drop on Day 1 or 2 before calving
- Different health status – different degree of changes – prediction difficulty
A. Measurement of general physiological parameters
Reticuloruminal pH
- Decreases in the days before calving
* Influence of SARA
A. Measurement of general physiological parameters
Activity
• Increases on the day of calving (up to 10 hours before)
B. Specific equipment of the detection of calving
Accelerometry
Accelerometer attached to the tails
• Attach a few days before expected calving
• Signals increased activity (text message, app alert) – detects raising of
the tail
• Large farm – numerous false positive alerts
o Social interactions
o Feeding
o Farm work, regrouping
• Positive prediction value: 12.6%→not very reliable
B. Specific equipment of the detection of calving
Measurement of vaginal temperature
Vaginal thermometer:
• Place in the vagina a few (5 to 7) days before calving
• Detects temperature decrease before calving
• Different size (cow, heifer)
• Hygiene of device and procedure
• Occasionally mild vaginitis
• Text message – calving within 48 hours
• Accuracy around 50% - core body temp. is also affected by other things e.g. heat stress
B. Specific equipment of the detection of calving
Appearance of the calf in the birth canal
• Vaginal thermometer
o Emergence of the allantois/amnion or of the hooves of the calf in the birth canal –
expulsion of the device
o Sharp temperature drop at expulsion (even in summer)
o Text message – “expulsion of thermometer”
o Calving usually completed 2 to 4 hours after expulsion – almost 100% accuracy
• Sensor sutured to the vulva:
o Primarily in mares, but experimentally in cows
o Two parts (magnet + transmitter) attached to each other
o Two parts sutured to the two sides of the labia
o Amnion/allantois/calf in birth canal – labia part, magnet slips from the transmitter – signal – start of calving
o Numerous false positives in cows – structure of the labia
B. Specific equipment of the detection of calving
Abdominal harness
• Placement a few days before calving • Detects pressure changes: o Uterine contractions o Straining • Text message – start of calving • Not widespread
Conclusion
• Automatic systems can provide useful data of our cows’ health
• Main areas
o Prevention of dystocia
o Early diagnosis of diseases
o Estimation of the risk or metabolic problems
o Improving production parameters
Limitations
• Cost o Establishing the system, maintenance, incorporation into existing infrastructure o Extra work, time, manpower • Learning process o Operating the system o Analysing the data
What do automatic systems tell us? – that there is a problem But what is the problem? – It’s our job to find out
• RT, reticuloruminal pH, temperature, etc. are important data, but they are only data
• What else do we need to make a good decision?
o Further data (DIM/Day of pregnancy, lactation number, previous examinations and treatments, daily milk yield, …)
o Our own expertise (selection and control of animals of higher risk, animal welfare and economy
• The system only works well when we know its scope and limitation