Indian Journal of Animal Research

  • Chief EditorK.M.L. Pathak

  • Print ISSN 0367-6722

  • Online ISSN 0976-0555

  • NAAS Rating 6.50

  • SJR 0.263

  • Impact Factor 0.5 (2023)

Frequency :
Monthly (January, February, March, April, May, June, July, August, September, October, November and December)
Indexing Services :
Science Citation Index Expanded, BIOSIS Preview, ISI Citation Index, Biological Abstracts, Scopus, AGRICOLA, Google Scholar, CrossRef, CAB Abstracting Journals, Chemical Abstracts, Indian Science Abstracts, EBSCO Indexing Services, Index Copernicus
Indian Journal of Animal Research, volume 49 issue 3 (june 2015) : 288-291

Genetic parameters of fertility and production traits in Murrah buffaloes

V. Jamuna*, A.K. Chakravarty, Avtar Singh, C.S. Patil
1Dairy Cattle Breeding Division, National Dairy Research Institute, Karnal-132 001, India.
Cite article:- Jamuna* V., Chakravarty A.K., Singh Avtar, Patil C.S. (2024). Genetic parameters of fertility and production traits in Murrah buffaloes. Indian Journal of Animal Research. 49(3): 288-291. doi: 10.5958/0976-0555.2015.00034.5.
Data of 522 Murrah buffaloes sired by 72 bulls scattered over a period of 19 years (1993 to 2011) maintained at National Dairy Research Institute, Karnal were edited to records of 404 buffaloes upto fourth lactation for estimating the genetic parameters of fertility and production traits. Fertility was defined in terms of pregnancy rate (PR), while production traits included Test Day Five Milk Yield (TD 5MY), 305 Days or less Milk Yield (MY) and 305 days or less Wet Average (WA). The heritability of PR, TD 5 MY, MY and WA were estimated as 0.02 ± 0.005, 0.12 ± 0.04, 0.17± 0.04 and 0.15 ± 0.03. The repeatability of PR, TD 5 MY, MY and WA were estimated as 0.09 ± 0.04, 0.18 ± 0.05, 0.27 ± 0.04 and 0.26 ± 0.04. The pregnancy rate had low negative phenotypic correlations with TD 5 MY (-0.09 ± 0.03), MY (-0.08 ± 0.04) and WA (-0.12 ± 0.02). The magnitudes of phenotypic correlation indicated that Murrah buffaloes have good fertility and is not declining sharply with the increasing of milk production in the herd. Better breeding management should be maintained for sustaining reproduction and production efficiency.
  1. Anonymous.(2012) Economic Survey, Ministry of Finance, Govt. of India. (
  2. Becker, W.A. (1975). Manual of Quantitative Genetics. 3rd Edition. Pub. Program in Genetics, Washington State University, Washington, USA.
  3. Falconer,D.S and Mackay,T.F.C (1996) Introduction to Quantitative Genetics.4th Edn.LongmanGroup Ltd.,Essex.England.
  4. Geetha, E., Chakravarty, A.K. and Vinay Kumar.K. (2006) Genetic Persistency of First lactation Milk Yield Estimated Using Random Regression Model for Indian Murrah buffaloes. Asian- Aust.J.Anim.Sc. 19: 1696-1701.
  5. Harvey, W.R. (1990) Guide for LSMLMW, PC-1 Version, mixed model least squares and maximum likelihood computer programme, January 1990. Mimeograph Ohio State Univ., USA.
  6. Kadarmideen, H.R., Thompson, R. and Simm.G. (2007) Linear and threshold model genetic parameters for disease, fertility and milk production in dairy cattle. J. Anim. Sci. 71: 411-419.
  7. Kuhn,M.T., Van Raden,P.M and Hutchinson,J.L. (2004) Use of early lactation days open records for genetic evalution of cow fertility. J. Dairy Sci. 87: 2274-22284.
  8. Kumar, A., Rana, Z.S., Dhaka, S.S., Dalal, D.S., Singh, S. and Sethi, R.K. (2002) Test day yield and lactation parameters of Murrah buffaloes. In:Proceedings of seventh WCGALP, Montpellier, Pp:1-3.
  9. Lawlor, T.J., Cannor.J., Tsuruta.S and Misztal.I. (2004) New applications of conformation trait data for dairy cow improvement. J. Dairy Sci. 87: 717-728.
  10. Patil, C.S. (2011) Genetic evaluation of fertility in Murrah buffaloes. M.V.Sc. Thesis, NDRI (Deemed University), Karnal, Haryana, India.
  11. Tohanti.H., Duarte,M.C., Reichert, R.H and Lima,L.H. (2004) Estimates of correction factors for lactation length and genetic parameters for milk yield in buffaloes. J. Dairy Sci., 51: 378-384.
  12. USDA. 2003. Estimated relative conception rate evaluation. Animal Improvement Programme Laboratory Research report. (
  13. Van Raden, P.M., Sandres, A.H., Tooker, M.E., Miller, R. H. and Norman, H.D. (2004) Daughter pregnancy rate evaluation of cow fertility. Animal Improvement Programs Laboratory, ARS-USDA, Beltsville. (
  14. Van Raden, P.M., Tooker, M.E., Miller, R.H. Wiggans,G.R. and Megonglal .J.H. (2007).Genetic evaluations for mixed breed populations. J. Dairy Sci. 90: 2434–2441.

Editorial Board

View all (0)