Estimation of direct and maternal (co)variance components for lactation traits in Jersey crossbred cattle at an organized farm


200 / 125

Authors

  • POONAM RATWAN PhD Scholar, Eastern Regional Station, ICAR-National Dairy Research Institute, Kalyani, West Bengal 741 235 India
  • MANOJ KUMAR Assistant Professor,Department of Animal Genetics and Breeding, Lala Lajpat Rai University of Veterinary and Animal Sciences, Hisar, Haryana
  • A K CHAKRAVARTY Principal Scientist and Head, Animal Genetics and Breeding Division, ICAR-National Dairy Research Institute, Karnal, Haryana
  • AJOY MANDAL Principal Scientist, Eastern Regional Station, ICAR-National Dairy Research Institute, Kalyani, West Bengal 741 235 India

https://doi.org/10.56093/ijans.v89i2.87339

Keywords:

Animal Model, Jersey crossbred cattle, Lactation traits, Maternal effects, Variance components

Abstract

Genetic parameters and (co)variance components were estimated for 305 days milk yield (305DMY), total milk yield (TMY), lactation length (LL) and peak yield (PY) in an organized herd of Jersey crossbred cattle. Restricted maximum likelihood (REML) fitting an animal model and ignoring or including maternal genetic or permanent environmental effects was used for carrying out analyses. Six different animal models were fitted for all traits. The best model was chosen after testing the improvement of log-likelihood values. Direct heritability estimates were 0.55, 0.50, 0.25 and 0.41 for 305DMY, TMY, LL and PY, respectively. Maternal genetic effects contributed 9 and 17% of the total variance for 305DMY and PY, respectively. Results suggest that maternal additive effect was important for 305 days milk yield and peak yield whereas permanent environmental maternal effects did not contribute to the total phenotypic variance of the considered traits in our study. Moderate to high direct heritability estimates varying from 0.25 to 0.55 for all considered lactation traits in this study suggests that there is adequate scope of improvement for these traits through selection under the prevailing management conditions. Further, for 305 days milk yield and peak yield maternal heritability was found to be imperative indicating that for improving these traits through selection both direct additive as well as maternal genetic effect must be taken into consideration.

Downloads

Download data is not yet available.

References

Ahmad N, Syed M, Farooq M, Shah S I and Gill R A. 2003. Lactation yield, length and persistency of lactation in Holstein cows under the subtropical environment of North West Frontier Province (NWFP). Journal of Animal and Veterinary Advances 2: 548–53.

Al-Samarai F R, Abdulrahman Y K, Mohammed F A, Al-Zaidi F H and Al-Anbari N N. 2015. Comparison of several methods of sire evaluation for total milk yield in a herd of Holstein cows in Yemen. Open Veterinary Journal 5: 11–17. DOI: https://doi.org/10.5455/OVJ.2015.v5.i1.p11

Amimo J O, Wakhungu J W, Inyangala B O and Mosi R O. 2007. The effects of non-genetic factors and estimation of genetic and phenotypic parameters and trends for milk yield in Ayrshire cattle in Kenya. Livestock Research for Rural Development 19: 13.

Banik S and Gandhi R S. 2010. Estimation of genetic parameters in Sahiwal cattle using single and multi-trait restricted maximum likelihood method. Indian Journal of Animal Sciences 80: 266–68.

Bell B R, McDaniel B T and Robison O W. 1985. Effect of cytoplasmic inheritance on production traits of dairy cattle. DOI: https://doi.org/10.3168/jds.S0022-0302(85)81066-3

Journal of Dairy Science 68: 2038–51.

Boettcher P J, Steverink D W B, Beitz D C, Freeman A E and McDaniel B T. 1996. Multiple herd evaluation of the effects of maternal lineage on yield traits of Holstein cattle. Journal of Dairy Science 79: 655–62. DOI: https://doi.org/10.3168/jds.S0022-0302(96)76411-1

Boujenane I. 2002. Estimates of Genetic and phenotypic parameters for milk production in Moroccan Holstein-Friesian cows. Revue d’elevage et de medicine veterinaire des pays tropicaux 55: 63–67. DOI: https://doi.org/10.19182/remvt.9848

Brumby P J. 1960. Cattle twins: The maternal environment and animal production. New Zealand Society of Animal Production Online Archive 95–107.

Deb G K, Mufti M M, Mostari M P and Huquei K S. 2008. Genetic evaluation of Bangladesh Livestock Research Institute Cattle Breed-1: Heritability and genetic correlation. Bangladesh Journal of Animal Science 37: 25–33. DOI: https://doi.org/10.3329/bjas.v37i2.9878

Deshpande K S and Bonde H S. 1981. Genetic studies on peak yield in Holstein Friesian × Sahiwal crossbred cattle. Journal of Agricultural Science 97: 707–11. DOI: https://doi.org/10.1017/S0021859600037072

Dhaka S S, Chaudhary S R, Pander B L, Yadav A S and Singh S. 2002. Genetic studies on production efficiency traits in Hariana cattle. Asian Australasian Journal of Animal Sciences 15: 466– 69. DOI: https://doi.org/10.5713/ajas.2002.466

Edriss M A, Nilforooshan M A and Sadeghi J M. 2006. Estimation of direct genetic and maternal effects for production traits of Iranian Holstein cows using different animal models. Pakistan Journal of Biological Sciences 9: 636–40. DOI: https://doi.org/10.3923/pjbs.2006.636.640

Filho A E V, Madalena F E, Albuquerque L G, Freitas A F, Borges L E, Ferreira J J, Teodoro R L and Faria F J C. 2006. Genetic relationships between milk traits, weight traits and age at first calving in crossbreed dairy cattle (Bos taurus × Bos indicus). 8th World Congress on Genetics Applied to Livestock Production.

Gorbani A, Salamatdoust Nobar R, Mehman Navaz U, Gyasi J, Agdam Shahryar H and Nazer Adl K. 2011. Heritability and repeatability estimation in Iranian Brown Swiss crossbred dairy cattle population. International Journal of Animal and Veterinary Advances 3: 335–37.

Haile A, Joshi B K, Ayalew W, Tegegne A and Singh A. 2009. Genetic evaluation of Ethiopian Boran cattle and their crosses with Holstein Friesian in central Ethiopia: milk production traits. Animal 3: 486–93. DOI: https://doi.org/10.1017/S1751731108003868

Harvey W R. 1990. Guide for LSMLMW, PC-1 Version, mixed model least squares and maximum likelihood computer programme. Mimeograph Ohio State University, USA.

Hazel L N, Dickerson G E and Freeman A E. 1994. Symposium: Selection index theory; The selection index – then, now, and for the future. Journal of Dairy Science 77: 3326–51. DOI: https://doi.org/10.3168/jds.S0022-0302(94)77265-9

Huizinga H A, Korver S, McDaniel B T and Politiek R D. 1986. Maternal effects due to cytoplasmic inheritance in dairy cattle. Influence on milk production and reproduction traits. Livestock Production Science 15: 11. DOI: https://doi.org/10.1016/0301-6226(86)90051-5

Japheth K P, Mehl R K, Imtiwati and Bhat S A. 2015. Effect of non-genetic factors on various economic traits in Karan Fries crossbred cattle. Indian Journal of Dairy Science 68: 163–69.

Downloads

Submitted

2019-02-27

Published

2019-02-27

Issue

Section

Articles

How to Cite

RATWAN, P., KUMAR, M., CHAKRAVARTY, A. K., & MANDAL, A. (2019). Estimation of direct and maternal (co)variance components for lactation traits in Jersey crossbred cattle at an organized farm. The Indian Journal of Animal Sciences, 89(2), 193–199. https://doi.org/10.56093/ijans.v89i2.87339
Citation