INTERNATIONAL JOURNAL OF PURE & APPLIED BIOSCIENCE
ISSN : 2320-7051
International Journal of Pure & Applied Bioscience (IJPAB)
Year : 2018, Volume : 6, Issue : 6
First page : (488) Last page : (491)
Article doi: : http://dx.doi.org/10.18782/2320-7051.7089
Effect of Sire, AI Operator, Lactation Number & Year of Insemination on Conception Rates in Khillar Cattle under Field Conditions
Vinod V. Potdar*, Marimuthu S. and J. R. Khadse
BAIF Central Research Station Uruli Kanchan, Pune, Maharashtra Pin 412 202
*Corresponding Author E-mail: firstname.lastname@example.org
Received: 14.11.2018 | Revised: 20.12.2018 | Accepted: 27.12.2018
The present study was carried out to study the conception rate of artificially inseminated khillar cattle with effect of sire, AI operator, Year of insemination, Lactation number under field condition. The study was conducted at different cattle development centres run by BAIF in Maharashtra state during the period from 2010 to 2014. Multivariate logistic regression method was employed to estimate conception rate from 2169 inseminations records. The overall mean conception rate was 60.58%. Year of insemination and AI operator showed significant variation in conception rate while no significant difference was found in conception rate due to sire & lactation number. Out of 15 AI operator, 9 operators were comparable, since the differences are statistically insignificant. Insemination records ranging from 60 to 209.There was no significance in lactation wise study highest conception was found in third lactation 68.43% while lowest conception rate was found in heifers 58.64%.Odds ratio of 2013 was lower (OR: 0.67) than our reference value of year 2010. Highest odds ratio found in year 2014 with estimated conception rate 59.12%. Six sires were used for current study conception rate was not shown statistically significant effect due to sire in present study. The insemination records ranged between 138 to 981.The Odds ratio of a bulls was higher than reference value however, mostly statistically non-significant. Therefore management can play important role in monitoring performance of AI operator in field condition.
Key words: Sire, AI operator, Multivariate logistic regression, Conception rate.
Full Text : PDF; Journal doi : http://dx.doi.org/10.18782
Cite this article: Potdar, V.V., Marimuthu, S. and Khadse, J. R., Effect of Sire, AI Operator, Lactation Number & Year of Insemination on Conception Rates in Khillar Cattle under Field Conditions, Int. J. Pure App. Biosci.6(6): 488-491 (2018). doi: http://dx.doi.org/10.18782/2320-7051.7089