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

1
Q

Calving(Numerous changing before calving)?

A

Calving

Numerous changes before calving

• Anatomy

o Udder development

o Relaxation of the pelvic ligaments

o Vulva oedema

• Physiological

o Hormonal

o Behavioural

o Body temp.

• Classical prediction method

o Date of AI – expected date

o Visual observation

o Not able to predict the precise day and time of calving

• Modern calving monitoring

o Camera systems

o Sensors

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2
Q

Importance?

A

Importance

• Dystocia

o Complications affecting the cow or calf

o Economical factor

• Organizing labour – available workers

o Obstetrical examination – assistance

o Care of the dam and calf

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3
Q

Equipment suitable for the detection of calving?

A

Equipment suitable for the detection of calving

• Measurement of general physiological parameters

o RT

o Reticuloruminal temp and pH

o Activity

• Specific equipment for the detection of calving

o Special inclinometers/accelerometers (tail)

o Vaginal thermometers – temp. decrease

o Vaginal/vulvar sensors – appearance of the calf in the birth canal

o Abdominal harnesses – staining, uterine contractions

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4
Q

Rumination time?

A

Rumination time
• RT decrease noticeable on Day 1 before calving:
o 15% (schirmann)
o 26% (Bushel)
• Significant drop in RT 4-8 hours before calving
• Resumption of rumination after calving
o 4-6 hours
o 355 min on average

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5
Q

Other Parameters?

A

Other parameters

• Reticuloruminal temperature:

o Core temperature decreases in the days before calving (day 4 -7)

o Significant drop on day 1 or 2 before calving

o Different health status – different degree of changes – prediction difficulty

• Reticuloruminal pH:

o Decreases in the days before calving

o Influence of SARA

• Activity:

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

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6
Q

Special devices- accelerometery?

A

Special devices – accelerometery

• Accelerometer attached to the tail:

o Attach a few days before expected calving

o Signals increased activity (text message, app alert) – raising of the tail

o Large farm- numerous false positive alerts

§ Social interactions

§ Feeding

§ Farm work, regrouping

o Positive predictive value:12.6%

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7
Q

Vaginal thermometer?

A

Vaginal thermometer

  • Place it in the vagina a few (5-7) days before calving
  • Detects temperature decrease before calving
  • Different sizes (cow, heifer)
  • Hygiene of device and procedure
  • Occasionally mild vaginitis
  • Text message – calving within 48 hours
  • Accuracy around 50%
  • Appearance of the calf in the birth canal
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8
Q

Vaginal thermometer- direct detection of calving?

A

Vaginal thermometer – direct detection of calving

  • Emergence of the allantois/amnion or the hooves of the calf in the birth canal – expulsion of the device
  • Sharp temperature drop at expulsion (even in summer)
  • Text message – expulsion of thermometer
  • Calving usually completed 2-4 hours after expulsion – almost 100% accuracy
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9
Q

Sensor sutured to the vulva?

A

Sensor sutured to the vulva

  • Primarily in mares but experimentally in cows
  • 2 parts (magnet + transmitter) attached to each other
  • Two parts sutured to the 2 sides of the labia
  • Amnion/allantois/calf in birth canal – labia part, magnet slips from the transmitter – signal- start of calving
  • Numerous false positives in cows – structure of the labia
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10
Q

Abdominal harness?

A

Abdominal harness

  • 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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11
Q

Conclusion for autonomic systems in general?

A

Conclusion – for automatic systems in general

  • Automatic systems can provide useful fata of our cow’s health
  • Main areas

o Prevention of dystocia

o Early diagnosis of diseases

o Estimation of the risk of metabolic problems

o Improving production parameters

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12
Q

Limitations?

A

Limitations

• Cost:

o Establishing the system, maintenance, incorporation into existing infrastructure

o Extra work, time, manpower

• Learning process

o Operating the system

o Analysing data

• Biggest problem - Vets need to be able to interpret the automatic result and figure out the solution of the

problem and the treat appropriately

  • 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 limitations.

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