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INCREASING THE SUCCESS RATE OF CATTLE ARTIFICIAL INSEMINATION FOR GIRINKA BENEFICIARIES IN HUYE DISTRICT, RWANDA
Date Issued
2018-05-16
Author(s)
Nancy SIBO
University of Global Health Equity
Abstract
Background: Dairy farmers in Rwanda face numerous challenges in their production levels
related to low Artificial Insemination success rate. Due to poor knowledge on heat period
detection. It is apparent that those beneficiaries do not have the ability to track the estrous
period of their cows to maximize their cows’ potential. Their ability to detect exactly when their
cows are on heat can help increase success of artificial insemination. If they miss out this
period, they lose out on income from milk and the nearest family also miss out the calf.
This study aimed to increase the artificial insemination success rate among Girinka beneficiaries
in Huye district from 40% to 60% by April 2018.
Method: A training was provided to 74 GIRNKA cattle farmers in in Huye district. The two-day
training focused on heat period detection, estrus cycle and manifestation of cows in heat
period.
Results: The overall average knowledge on cattle estrus cycle significantly increased from
37.16% pre-intervention to 92.34% post-intervention (P= 0.008 and CI= 0.50, 0.61). All six
questions about the knowledge of participants showed significant increase statistically, with the
knowledge of estrus cycle having the biggest increase in knowledge score from 31% preintervention
to 95.9% post intervention, 65% improvement (P<0.001, CI= 0.53, 0.77). The
smallest increase in knowledge score was related to knowledge on heat period of cows,
increased from 55.4% pre-intervention to 98.65% post-intervention, 43% improvement (P
<0.001 and CI= 0.31, 0.55). The AI success rate significantly increased from 44% preintervention
to 58.7% post-intervention (P<0.001, CI = 12.20%, 16.77%).
Conclusion: Training farmers on heat period detection, estrus cycle and manifestation of cows
in heat period can increase the success rate of AI and is recommended to provide the same
training to other GIRNKA beneficiaries.
Keywords: Artificial insemination (AI), estrus, cattle, heat detection.
related to low Artificial Insemination success rate. Due to poor knowledge on heat period
detection. It is apparent that those beneficiaries do not have the ability to track the estrous
period of their cows to maximize their cows’ potential. Their ability to detect exactly when their
cows are on heat can help increase success of artificial insemination. If they miss out this
period, they lose out on income from milk and the nearest family also miss out the calf.
This study aimed to increase the artificial insemination success rate among Girinka beneficiaries
in Huye district from 40% to 60% by April 2018.
Method: A training was provided to 74 GIRNKA cattle farmers in in Huye district. The two-day
training focused on heat period detection, estrus cycle and manifestation of cows in heat
period.
Results: The overall average knowledge on cattle estrus cycle significantly increased from
37.16% pre-intervention to 92.34% post-intervention (P= 0.008 and CI= 0.50, 0.61). All six
questions about the knowledge of participants showed significant increase statistically, with the
knowledge of estrus cycle having the biggest increase in knowledge score from 31% preintervention
to 95.9% post intervention, 65% improvement (P<0.001, CI= 0.53, 0.77). The
smallest increase in knowledge score was related to knowledge on heat period of cows,
increased from 55.4% pre-intervention to 98.65% post-intervention, 43% improvement (P
<0.001 and CI= 0.31, 0.55). The AI success rate significantly increased from 44% preintervention
to 58.7% post-intervention (P<0.001, CI = 12.20%, 16.77%).
Conclusion: Training farmers on heat period detection, estrus cycle and manifestation of cows
in heat period can increase the success rate of AI and is recommended to provide the same
training to other GIRNKA beneficiaries.
Keywords: Artificial insemination (AI), estrus, cattle, heat detection.
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