Banner
Current IssueEditorial BoardOnline First Articles
Current IssueEditorial BoardOnline First Articles
Indian Journal of
Animal Research
Print ISSN: 0367-6722
Online ISSN: 0976-0555
NASS Rating
6.40
SJR
0.233
CiteScore
0.606

Chief Editor:
M. R. Saseendranath
Kerala Veterinary and Animal Science University, Mannuthy, Thrissur, INDIA
Frequency:Monthly
Indexing:
Science Citation Index Expanded, BIOSIS Preview, ISI Citation Index, Biological Abstracts, Scopus, ...

Indian Journal of Animal Research, volume 48 issue 2 (april 2014) : 99-102

EFFECT OF BETA LACTOGLOBULIN GENOTYPES ON MILK PRODUCTION TRAITS IN SAHIWAL CATTLE

T.C. Tolenkhomba*, Prava Mayengbam, B.R. Yadav
1Dairy Cattle Breeding Division, National Dairy Research Institute, Karnal 13200, India
Cite article:- Tolenkhomba* T.C., Mayengbam Prava, Yadav B.R. (2025). EFFECT OF BETA LACTOGLOBULIN GENOTYPES ON MILK PRODUCTION TRAITS IN SAHIWAL CATTLE. Indian Journal of Animal Research. 48(2): 99-102. doi: 10.5958/j.0976-0555.48.2.022.

ABSTRACT

The study was conducted to find the association of b-Lactoglobulin locus with the milk performance traits in 157 lactating Sahiwal cows maintained at Cattle yard, NDRI, Karnal. Two different variants of b-Lactoglobulin were detected from DNA by PCR-RFLP. It was found that the frequency of B allele was predominantly high (0.84±0.03) than that of A allele (0.16±0.03) in the population studied. Among the genotypes, BB was observed in 106 animals, whereas AB in 51 animals only. The genotype AA was not found in any of the animals. The statistical analysis showed non-significant effect of b-lactoglobulin genotypes on milk yield, milk fat percentage, SNF percentage, milk fat yield and milk SNF yield.  Therefore, b-lactoglobulin locus was less informative in the selection of animals for higher yields of fat, SNF and milk. DNA based markers were of the better choice since animals could be screened at very early age instead of waiting for animals to come in milk.

REFERENCES

  1. Bonvillani, A.G., DiRenzo, M.A. and Tiranti, I.N. (2000). Genet. Mol. Biol., 23(4) http://www.scielo/scielo.php? script=sci_arttext&pid=S1415.
  2. Douglas, M. McLean, Graham,Bruce E.R. and Ponzon, Roul, W. (1984). J. Dairy Res., 51: 531-546.
  3. Harvey, W.R. (1990). User’s guide for least Squares and Maximum Likelihood Computer Program. PC-2 Version, Ohio State University, Columbus, USA.
  4. Jeichitra, V., Kandasamy, N. and Panneerselvam (2003). Trop. Anim. Health. Prod., 35(2): 147-153.
  5. Kim, S., Ng-Kwai-Hang, K.F. and Hayes, J.F. (1996). Asian Austral J. Anim. Sci., 9: 685-693.
  6. Li, F.H. and Gaunt, S. N. (1972). Biochem. Genet., 6: 9-20.
  7. Medrano, J.F. and Aguilar-Cordova, E. (1990). Biol. Technology, 8: 144-146.
  8. Oner, Y and Elmac, C. (2006). Int. J. Dairy Technology, 59(3): 180-182.
  9. Palmer, A. H. (1934). J. biol. Chem. 104, 359.
  10. Sambrook, J. and Russel, D.W. (2000). Molecular cloning: A Laboratory Manual. Vols 1, 2, and 3. 3rd edn. Cold Spring Harboor, New York.
  11. Singh, A.F. and Bhat, P.N. (1981). Indian J. Anim. Sci., 51: 11-16.
  12. Snedecor, G.W. and Cochran, W.G. (1996). Statistical Methods. Oxford and IBH Publishing Co., Kolkata.
Reviewed By

Download Article
In this Article
    Contact us
    Follow us

    Editorial Board

    View all (0)