Open Access
Research
(Published
online: 17-02-2017)
11.
A combinatorial model for effective estrus
detection in Murrah buffalo -
Ramu Muthu Selvam and Govindaraju Archunan
Veterinary World, 10(2): 209-213
doi:
10.14202/vetworld.2017.209-213
Ramu Muthu Selvam:
Centre for Pheromone Technology, Department of Animal Science,
Bharathidasan University, Tiruchirappalli - 620 024, Tamil Nadu,
India.
Govindaraju Archunan:
Centre for Pheromone Technology, Department of Animal Science,
Bharathidasan University, Tiruchirappalli - 620 024, Tamil Nadu,
India.
Received: 29-09-2016, Accepted: 19-01-2017, Published online:
17-02-2017
Corresponding author:
Govindaraju Archunan, e-mail: garchu56@yahoo.co.in
Citation:
Selvam RM, Archunan G (2017) A combinatorial model for effective
estrus detection in Murrah buffalo,
Veterinary World,
10(2): 209-213.
Abstract
Background:
Buffaloes are silent heat animals and lacunae in their estrus
detection results a substantial economic loss in developing
countries. Many advanced tools to aid heat detection have been
developed but are neither affordable nor easily interpretable by
marginal farmers.
Aim:
The present investigation was made to develop a cost-effective
estrus detection model by combining several known estrus
predicting parameters.
Materials and Methods:
Various signs of estrus were classified under major parameters
such as visual, cow behavioral, bull behavioral, biochemical, and
gyneco-clinical. Expression of those parameters was observed in
buffaloes, and the percentage of positive estrus detection was
calculated for each combination of estrus prediction parameters.
Results:
The present result concludes that the model comprises of five
parameters group with several signals with twentysix different
combinations. It was observed that the expression of individual
combinations and their corresponding estrus detection efficiency
varies significantly, i.e., detection efficiency rises as the
number of combination increases.
Conclusion:
Combination of three parameters would provide an estrus detection
efficiency >70% and suggested for an easy estrus detection. This
would be a cost-effective model for farmers and benefits in
enhancing buffalo population/reproduction.
Keywords:
behavior, estrus detection, fern pattern, Flehmen, mounting,
visual.
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