Indian Journal of Animal Research

  • Chief EditorK.M.L. Pathak

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Indian Journal of Animal Research, volume 51 issue 1 (february 2017) : 170-174

Pregnancy diagnosis-positive rate and conception rate as indicator of farm reproductive performance

Muzamil Abdullah*, T.K. Mohanty, T.K. Patbandha, M. Bhakat, A.R. Madkar, A. Kumaresan, A.K. Mohanty1
1<p>Livestock Production Management, ICAR-National Dairy Research Institute, Karnal&ndash;132 001, India.</p>
Cite article:- Abdullah* Muzamil, Mohanty T.K., Patbandha T.K., Bhakat M., Madkar A.R., Kumaresan A., Mohanty1 A.K. (2015). Pregnancy diagnosis-positive rate and conception rate as indicator of farm reproductive performance . Indian Journal of Animal Research. 51(1): 170-174. doi: 10.18805/ijar.5708.

The present study was designed to evaluate the Pregnancy Diagnosis-Positive Rate (PD-PR) along with conception rate (CR) in an organised farm (Livestock Research Centre, National Dairy Research Institute, Karnal) to take effective management decision. One year record of Artificial Insemination (A.I.) and PD of dairy animals (N=1327; comprised 1003 cows and 324 buffaloes) was analysed. On an average, cows and buffaloes were presented for per rectal pregnancy diagnosis after 75.63 (38-119) and 76.3 (46-128) days, respectively of A.I. Overall PD-PR value of cattle was observed to be significantly higher compared to buffaloes (70.77 and 59.45%, respectively, prus symptoms as well as on CR.


  1. pregnancy diagnosis in dairy cattle: economic importance and accuracy of ultrasonography. Adv. Anim. Vet. Sci., 2 : 464-467 

  2. Azawi, O.I. (2008). Postpartum uterine infection in cattle. Anim. Reprod. Sci., 105:187–208. 

  3. Dash, S., Chakravarty, A.K., Singh, A., Behera, R., Upadhyay, A. and Shivahre, P.R. (2014). Determination of critical heat stress zone for fertility traits using temperature humidity index in Murrah buffaloes. Indian J. Anim. Sci., 84: 1181–1184

  4. Dash, S., Chakravarty, A.K., Singh, A., Shivahre, P.R., Upadhyay, A., Sah, V. and Singh, K.M. (2015). Assessment of expected breeding values for fertility traits of Murrah buffaloes under subtropical climate, Vet. World, 8:320-325.

  5. Ferreira, R.M., Ayres, H., Chiaratti, M.R., Ferraz, M.L., Araujo, A.B., Rodrigues, C.A. (2011). The low fertility of repeat-    breeder cows during summer heat stress is related to a low oocyte competence to develop into blastocysts. J. Dairy Sci., 94:2383–2392. 

  6. Fricke, P. M. (2002). Scanning the future ultrasonography as a reproductive management tool for dairy cattle. J. Dairy Sci., 85:1918-1926.

  7. Garcia-Ispierto, I., Lopez-Gatius, F., Bech-Sabat, G., Santolaria, P., Yaniz, J.L., Nogareda, C., De Rensis, F. and Lopez-    Bejar, M. (2007). Climate factors affecting conception rate of high producing dairy cows in north-eastern Spain. Theriogenology, 67:1379–85.

  8. Gomes, W.R. (1978). Gestation. In: Physiology of Reproduction and Artificial Insemination of Cattle (Salisbury, G.W., VanDemark, N.L. and Lodge, J.R., 2nd Eds.). Freeman WH and Company, San Francisco, USA. Page 130-167.

  9. Gordon, P. (2011). Oestrus detection in dairy cattle. In Pract., 33:542-546.

  10. Khan, F.A., Prasad, S. and Gupta, H.P. (2013). Effect of heat stress on pregnancy rates of crossbred dairy cattle in Terai region of Uttarakhand, India. Asian Pacific J. Reprod., 2: 277-279.

  11. Lucy, M.C. (2002). Reproductive loss in farm animals during heat stress. In Proceeding of 15th Conference on Biometeorology and Aerobiology and the 16th International Congress of Biometeorology, American Meteorological Society, Boston, MA, USA. pp. 50–53. 

  12. Marai, I.F.M. and Haeeb, A.A.M. (2010). Buffalo’s biological functions as affected by heat stress: a review. Livest. Sci., 127:89–109.

  13. Moran, J. (2005). Tropical Dairy Farming: Feeding Management for Small Holder Dairy Farms in the Humid Tropics. Colling wood, Landlinks Press. p. 312. 

  14. Morton, J.M., Tranter, W.P., Mayer, D.G and Jonsson, N.N. (2007). Effects of environmental heat on conception rates in lactating dairy cows: critical periods of exposure. J. Dairy Sci., 90:2271–8.

  15. Schuller, L.K., Burfeind, O. and Heuwieser, W. (2014). Impact of heat stress on conception rate of dairy cows in the moderate climate considering different temperature– humidity index thresholds, periods relative to breeding, and heat load indices. Theriogenology, 81: 1050-1057

  16. Thirunavukkarasu, M. and Kathiravan, G. (2009). Factors affecting conception rates in artificially inseminated bovines. Indian J. Anim. Sci., 79: 871–875

  17. Upadhyay, R.C., Ashutosh, Rani, R., Singh, S.V., Mohanty, T.K. and Gohain, M. (2012). Impact of climate change on reproductive functions of Murrah buffaloes. J. Anim. Plant Sci., 22: 234-236.

  18. Zi, X.D., Ma, L., Zhou, G.Q., Chen, C.L. and Wei, G.M. (2003). Fertility of Holstein cows in Chengdu, China. Asian-Aust. J. Anim. Sci., 16: 185–88. 

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