Investigation of direct and maternal genetic effects on days open in Jersey crossbred cattle

ANSHUMAN KUMAR; AJOY MANDAL; A K GUPTA; M R VINEETH; POONAM RATWAN; M KARUNAKARAN

doi:10.56093/ijans.v86i5.58502

Authors

ANSHUMAN KUMAR ICAR-National Dairy Research Institute, Kalyani, West Bengal 741 235 India
AJOY MANDAL ICAR-National Dairy Research Institute, Kalyani, West Bengal 741 235 India
A K GUPTA ICAR-National Dairy Research Institute, Kalyani, West Bengal 741 235 India
M R VINEETH ICAR-National Dairy Research Institute, Kalyani, West Bengal 741 235 India
POONAM RATWAN ICAR-National Dairy Research Institute, Kalyani, West Bengal 741 235 India
M KARUNAKARAN ICAR-National Dairy Research Institute, Kalyani, West Bengal 741 235 India

https://doi.org/10.56093/ijans.v86i5.58502

Keywords:

Animal model, Cattle, Days open, Heritability, Maternal effects

Abstract

Estimates of (co)variance and genetic parameters for days open (DO) of Jersey crossbred cattle were estimated by restricted maximum likelihood (REML), fitting 6 animal models, including various combinations of maternal effects. Data on 792 records of 223 Jersey crossbred animals, descended from 51 sires and 170 dams were used. The direct heritability estimates for days open ranged from 0.04 to 0.10 depending on the model applied. The additive maternal effects varied from 0.06 to 0.09 in different models in this study, whereas the estimates of the fraction of variance due to maternal permanent environmental effects were practically negligible to very low (0– 4% of the phenotypic variance), irrespective of the models used. Results suggested that direct and maternal additive effects were important for this trait but, the low heritability estimates indicated little scope of genetic progress through selection for this trait.

Downloads

Download data is not yet available.

References

Dematawewa C M B and Berger P J. 1998. Genetic and phenotypic parameters for 305-day yield, fertility, and survival in Holsteins. Journal of Dairy Science 81 (10): 2700–09. DOI: https://doi.org/10.3168/jds.S0022-0302(98)75827-8

Demeke S, Neser F W C and Schoeman S J. 2004. Estimates of genetic parameters for Boran, Friesian and crosses of Friesian and Jersey with the Boran cattle in the tropical highlands of Ethiopia: reproduction traits. Journal of Animal Breeding and Genetics 121 (1): 57–65. DOI: https://doi.org/10.1046/j.0931-2668.2003.00438.x

Ghiasi H, Pakdel A, Nejati–Javaremi A, Mehrabani–Yeganeh H, Honarvar M, Gonzalez- Recio O, Carabano M J and Alenda R. 2011. Genetic variance components for female fertility in Iranian Holstein cows. Livestock Science 139 (3): 277–80. DOI: https://doi.org/10.1016/j.livsci.2011.01.020

Goyache F, Gutiérrez J P, Fernández I, Royo L J and Álvarez I. 2005. Genetic analyses of days open in beef cattle. Livestock Production Science 93 (3): 283–89. DOI: https://doi.org/10.1016/j.livprodsci.2004.10.002

Harvey W R. 1990. Users Guide for LSMLMW and MIXMDL, Mixed model least squares and maximum likelihood computer program, PC-2 version. the Ohio State University, Columbus, USA.

Henkes L E, Benavides M V, Oliveira J F C, Moraes J C F and Weimer T A. 2004. Maternal inheritance on reproductive traits in Brangus-Ibagé cattle. Ciência Rural 34 (4): 1163–67. DOI: https://doi.org/10.1590/S0103-84782004000400030

Jamrozik J, Fatehi J, Kistemaker G J and Schaeffer L R. 2005. Estimates of genetic parameters for Canadian Holstein female reproduction traits. Journal of Dairy Science 88: 2199– 208. DOI: https://doi.org/10.3168/jds.S0022-0302(05)72895-2

Kadarmideen H N, Thompson R, Coffey M P and Kossaibati M A. 2003. Genetic parameters and evaluations from single- and multiple-trait analysis of dairy cow fertility and milk production. Livestock Production Science 81 (2):183–95. DOI: https://doi.org/10.1016/S0301-6226(02)00274-9

Mandal A, Roy P K, Ghosh M K, Chatterjee A and Das S K. 2013. Genetic and environmental effects on first lactation traits of Jersey crossbred cattle in an organized herd of Eastern India. Indian Journal of Dairy Science 66 (2): 130–33.

Meyer K. 1992. Variance components due to direct and maternal effects for growth traits of Australian beef cattle. Livestock Production Science 31: 179–204. DOI: https://doi.org/10.1016/0301-6226(92)90017-X

Meyer K. 2000. DFREML programs to estimate variance components by restricted maximum likelihood using derivative free algorithm-user notes.

Pundir R K and Singh K. 2007. Estimates of genetic parameters and trends of various performances traits of Red Sindhi cattle using single trait animal model. The Indian Journal of Animal Sciences 77 (10): 1002–06.

Robison O W. 1981. The influence of maternal effects on efficiency of selection: a review. Livestock Production Science 8: 121. DOI: https://doi.org/10.1016/0301-6226(81)90016-6

VanRaden P M, Sanders A H, Tooker M E, Miller R H, Norman H D, Kuhn M T and Wiggans G R. 2004. Development of a national genetic evaluation for cow fertility. Journal of Dairy Science 87: 2285–92. DOI: https://doi.org/10.3168/jds.S0022-0302(04)70049-1

Wasike C B, Ilatsia E D, Ojango J M K and Kahi A K. 2006. Genetic parameters for weaning weights of Kenyan Boran cattle accounting for direct-maternal genetic (co)variances. South African Journal of Animal Science 36: 275–81.