The importance of automatic systems in the prediction of calving in cattle Flashcards

1
Q

Calving

A
• 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
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2
Q

Calving prediction

Classical method

A
  • Date of AI – expected day of calving
  • Visual observation
  • Not able to predict the precise day and time of calving (difference can be days)
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3
Q

Calving prediction

Modern calving monitoring

A
  • Camera systems

* Sensors

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4
Q

Calving prediction

Importance

A
• 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
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5
Q

Equipment suitable for the detection of calving

A

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

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6
Q

A. Measurement of general physiological parameters

Ruminal time

A

• 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)

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7
Q

A. Measurement of general physiological parameters

Reticuloruminal temperature

A
  • 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
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8
Q

A. Measurement of general physiological parameters

Reticuloruminal pH

A
  • Decreases in the days before calving

* Influence of SARA

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9
Q

A. Measurement of general physiological parameters

Activity

A

• Increases on the day of calving (up to 10 hours before)

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10
Q

B. Specific equipment of the detection of calving

Accelerometry

A

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

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11
Q

B. Specific equipment of the detection of calving

Measurement of vaginal temperature

A

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

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12
Q

B. Specific equipment of the detection of calving

Appearance of the calf in the birth canal

A

• 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

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13
Q

B. Specific equipment of the detection of calving

Abdominal harness

A
• Placement a few days before calving
• Detects pressure changes:
    o Uterine contractions
    o Straining
• Text message – start of calving
• Not widespread
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14
Q

Conclusion

A

• 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

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15
Q

Limitations

A
• 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

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