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A combinatorial model for effective estrus detection in Murrah buffalo.

Ramu Muthu Selvam1, Govindaraju Archunan1

  • 1Centre for Pheromone Technology, Department of Animal Science, Bharathidasan University, Tiruchirappalli - 620 024, Tamil Nadu, India.

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Summary

Estrus detection in buffaloes is crucial for economic reasons. A cost-effective model combining visual, behavioral, and biochemical parameters can improve heat detection efficiency for farmers.

Keywords:
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Area of Science:

  • Reproductive biology
  • Animal science
  • Veterinary medicine

Background:

  • Estrus detection in buffaloes is challenging due to their 'silent heat' nature.
  • Inaccurate heat detection leads to significant economic losses in developing countries.
  • Existing advanced tools are often unaffordable or difficult for smallholder farmers to use.

Purpose of the Study:

  • To develop an affordable and effective estrus detection model for buffaloes.
  • To combine multiple estrus prediction parameters for improved accuracy.
  • To provide a practical solution for marginal farmers in developing nations.

Main Methods:

  • Classified estrus signs into visual, cow behavioral, bull behavioral, biochemical, and gyneco-clinical parameters.
  • Observed the expression of these parameters in buffaloes.
  • Calculated positive estrus detection rates for various parameter combinations.

Main Results:

  • Evaluated 26 different combinations across five parameter groups.
  • Estrus detection efficiency varied significantly with different combinations.
  • Increased number of combined parameters led to higher detection efficiency.

Conclusions:

  • A combination of three parameters achieves over 70% estrus detection efficiency.
  • This model offers a cost-effective solution for farmers.
  • Improved estrus detection will benefit buffalo population and reproduction.