Estimation of breeding values of Kankrej bulls under associated herd progeny testing program
Abstract views: 124 / PDF downloads: 86
https://doi.org/10.56093/ijans.v90i3.102539
Keywords:
Breeding value, Genetic evaluation, Kankrej bull, Milk yield, Progeny testingAbstract
A study was conducted to predict the expected breeding values of 8 Kankrej bulls inducted under the All India Coordinated Research Project on Cattle. A total of 127 first lactation 305-days records of Kankrej daughters born during the period between 2013 and 2017 were analyzed by Best Linear Unbiased Prediction (BLUP) method using Model VIII of LSMLMW software. The BLUP model included the Herd-year-season effect as fixed factor and sires as random factor. The overall average expected breeding value (EBV) was 2004.314 kg. The breeding values of Kankrej bulls ranged between - 151.321 and +189.733 kg. The results of the study revealed that the BLUP method discriminated the sires for their breeding values to a larger extent so that the genetically superior bulls can be discriminated from the poor bulls. Based on the results it was recommended only to use the frozen semen doses of two Gir bulls, viz. K020 and K017 to breed the Kankrej cows for increasing the milk production in subsequent generations.
Downloads
References
Banik S, Gandhi R S. 2006. Animal model versus conventional methods of sire evaluation in Sahiwal cattle. Asian-Australian Journal of Animal Sciences 19(9): 1225–28. DOI: https://doi.org/10.5713/ajas.2006.1225
Dongre V B and Gandhi R S. 2014. Study on sire evaluation methods in Sahiwal cattle. Indian Journal of Veterinary and Animal Science Research 43(3): 174–79.
Harvey W R. 1990. Mixed model least squares and maximum likelihood computer program, PC-2 version, Ohio, USA.
Henderson C R. 1973. Sire evaluation and genetic trends. Journal of Animal Science, Vol. 1973, Issue: Symposium, 1 January 1973, pp. 10–41. https://doi.org/10.1093/ansci/1973. Symposium.10. DOI: https://doi.org/10.1093/ansci/1973.Symposium.10
Henderson C R. 1975. Best linear unbiased prediction under a selection model. Biometrics 31: 423–47. DOI: https://doi.org/10.2307/2529430
Pandey H O, Tomar A K S and Dutt T. 2013. Comparison of sire evaluation methods in Vrindavani cattle. Indian Journal of Animal Sciences 83(4): 419–22.
Raj Des. 1987. ‘Development of optimum breeding programme for Kankrej cattle’. Ph.D. Thesis submitted to NDRI, Karnal Kurukshetra University, Kurukshetra.
Raja T V. 2010. ‘Part lactation records for Sahiwal Sire evaluation’. Ph.D. Thesis. Karnal, India: NDRI, Deemed University.
Singh J and Singh C V. 2016. Evaluation of sires using different sire evaluation methods on the basis of first lactation traits in Sahiwal cattle. Journal of Veterinary Science and Technology 7: 296. DOI: https://doi.org/10.4172/2157-7579.1000296
Singh Umesh, Gaur G K, Garg R C and Vinoo R. 2006. Genetic evaluation of Ongole bulls at organized herds. Indian Journal of Animal Sciences 76(11): 931–33.
Singh Umesh, Kumar Arun and Vinoo R. 2012. Breeding Values of Ongole bulls at Organized Herds. Indian Veterinary Journal 89(1): 92–93.
Singh Umesh, Kumar Arun, Beniwal B. K. and Khanna A S. 2008. Evaluation of breeding values of Hariana bulls on organized farms. Indian Journal of Animal Sciences 78(4): 388–90.
Singh Umesh, Raja T V, Alyethodi R R, Rathod B S, Birham Prakash and Vineet Bhasin. 2018a. Genetic improvement of Kankrej cattle through associated herd progeny testing under field and farm conditions. Indian Journal of Animal Sciences 88(3): 314–18. DOI: https://doi.org/10.56093/ijans.v92i3.122261
Singh Umesh, Raja T V, Alyethodi R R, Gajbhiye P U, Prakash B and Bhasin V. 2018b. Genetic improvement programme in Gir cattle for enhancing milk productivity. Indian Journal of Animal Sciences 88(1): 21–25.
Downloads
Submitted
Published
Issue
Section
License
The copyright of the articles published in The Indian Journal of Animal Sciences is vested with the Indian Council of Agricultural Research, which reserves the right to enter into any agreement with any organization in India or abroad, for reprography, photocopying, storage and dissemination of information. The Council has no objection to using the material, provided the information is not being utilized for commercial purposes and wherever the information is being used, proper credit is given to ICAR.