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 0.4 (2024)

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
Submit

Indian Journal of Animal Research, volume 42 issue 4 (december 2008) : 301-304

GENETIC ANALYSIS OF BODY WEIGHTS OF FRIESWAL COWS*

B. Shubha Lakshmi, B. Ramesh Gupta, K. Sudhakar1, M. Gnana Prakash, Susheel Sharma2
1Department of Animal Genetics and Breeding, College of Veterinary Science, Rajendranagar, Hyderabad-500 030, India

  • Submitted|

  • First Online |

  • doi

Cite article:- Lakshmi Shubha B., Gupta Ramesh B., Sudhakar1 K., Prakash Gnana M., Sharma2 Susheel (2024). GENETIC ANALYSIS OF BODY WEIGHTS OF FRIESWAL COWS*. Indian Journal of Animal Research. 42(4): 301-304. doi: .

ABSTRACT

Data on various grades (3/8, 7/16, 5/8, 3/4, 15/16 and 55 to 75%, named Frieswal) of Holstein
Friesian x Sahiwal cows maintained at the Military Dairy Farm, Secunderabad, over a period of 19
years (1988-2006) were utilized to study the effect of various levels of Holstein Friesian inheritance
and period and season of birth on body weights from birth to 24 months age. Genetic grades affected
the body weight at 1, 21 and 24 months of age whereas the period of birth significantly affected body
weights at all ages studied. Season of birth affected body weight at 3, 6, 12 and 21 months age.
Heritabilities of body weights ranged from 0.08 to 0.63 while the genetic correlations ranged
from -0.14 to 0.97.

KEYWORDS

    REFERENCES

    1. Banerjee, S. and Banerjee, S. (2002). Indian Vet. J. 79:460-462.
    2. Becker, W.A. (1985) Manual of Quantitative Genetics, Academic Enterprises, Pullman, Washington.
    3. Chaudhari, K. B. et al. (1995). Indian J. Dairy Sci. 48:233-235.
    4. Harvey, W.R. (1979) Least-squares Analysis of Data with Unequal Sub-class Numbers. A.R.S., 2028 U. S.
    5. Department of Agriculture.
    6. Jadhav, K.L. et al. (1992). Indian J. Anim. Res. 26:103-106.
    7. Jain, J.K. et al. (2000). Indian J. Dairy Sci. 53:205-209.
    8. Kramer, C.Y. (1957). Biometrics 13:13-18.
    9. Mete, Y. et al. (1994). Indian J. Dairy Sci. 47:273-275.
    10. Negash, M. (1999). Indian J. Anim. Sci. 69:814-815.
    11. Pandya, D.K. et al. (1985). Indian Vet. Med. J. 9:62.
    12. Sharma, D.B. and Singh, C.S.P. (1985). Indian Vet. Med. J. 9:157-162.
    13. Sharma, D.B. and Singh, C.S.P. (1987). Indian Vet. Med. J. 11:120-124.
    14. Sharma, K.C. and Singh, P.K. (1999). Indian J. Anim. Sci. 33:1-6.
    15. Shettar, V.B. and Govindaiah, M.G. (2000). Indian Vet. J. 77:66-67.
    16. Singh, N.P. et al. (2001). Indian J. Anim. Res. 35:100-103.
    17. Singh, S.R. et al. (1985). Indian Vet. Med. J. 9:199-204.
    18. Singh, S.R. et al. (1986). Indian Vet. Med. J. 10:239-242.
    Reviewed By

    Download Article
    In this Article
      Contact us
      Follow us

      Editorial Board

      View all (0)