Abstract:
Tremendous level of productivity of dairying
has been successfully achieved using technologies like
Artificial Insemination (AI). Sri Lanka is one of the
tropical countries consisting sufficient land in its most
of the Dry Zone where the peak population of cattle
and buffalo contributed to the production performance
is still below their potential. Therefore, this study was
carried out in Batticaloa District (Dry Zone) in order
to understand the efficiency on AI and its adaptation.
And also, collected data were statistically interpreted to
understand the relationship between the success rate of
AI via the SPSS (version 22) software. According to the
results revealed that the non-descriptive breeds (90.42%)
(n=132,679) were higher in number while comparing with
Indian (6.13%) (n=8990) and European Crosses (3.45%)
(n=5062) and also mean ± SD of the environmental
temperature and relative humidity were 28.12 ± 2.08
0C and 77.29 ± 5.64%, respectively too. Approximately,
69.3% of the farmers utilised AI services where rearing
system was mainly Intensive and Extensive with the
respective value of 30.7% and 50%. Here, around 55%
of the breeds are Sahiwal and its Crosses. However,
there was a negative significant relationship obtained
between the success rate of AI and European Crosses
(p<0.01, r = 0.747), as well. It was confirmed that the
Breed of Sahiwal (p<0.01, r = 0.543) reared under the
Intensive System (p<0.01, r = 0.589) showed a positive
significant relationship with the success rate. Moreover,
the relationship was negative (p<0.01) with the number
of cattle available in the extensive system which led to the
poor performance (p<0.01, r = 0.877) in AI. In conclusion,
perception revealed the positive significant relationship
with the adaptation of AI Techniques (p<0.01, r = 0.747)
by the present farmers. However, these conditions are
below the potential of AI in Dry Zone where further
enhancement, consideration and training are needed to
reach high success rates, as well.
