Articles | Volume 59, issue 2
Original study
01 Jun 2016
Original study |  | 01 Jun 2016

Estimation of variance components of milk, fat, and protein yields of Tunisian Holstein dairy cattle using Bayesian and REML methods

Hafedh Ben Zaabza, Abderrahmen Ben Gara, Hedi Hammami, Mohamed Amine Ferchichi, and Boulbaba Rekik

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Cited articles

Alijani, S., Jasouri, M., Pirany, N., and Kia, H. D.: Estimation of variance components for some production traits of Iranian Holstein dairy cattle using Bayesian and AI-REML methods, Pak. Vet. J., 32, 562–566, 2012.
Ben Gara, A., Rekik, B., and Bouallègue, M.: Genetic parameters and evaluation of the Tunisian dairy cattle population for milk yield by Bayesian and BLUP analyses, Livest. Prod. Sci., 100, 142–149, 2006.
Ben Gara, A., Jemmali, B., Hammami, H., Rouissi, H., Bouallegue, M., and Rekik, B.: Milk Production of Holsteins Under Mediterranean Conditions: Case of the Tunisian Population, in: Milk production, Nova Sciences Publisher, NY, USA, 2012.
Bouraoui, R., Lahmar, M., Majdoub, A., Djemali, M., and Beleyea, R.: The relationship of temperature-humidity index with milk production of dairy cows in a Mediterranean climate, Anim. Res. 51, 479–491, 2002.
Carabaño, M. J., Van Vleck, L. D., Wiggans, G. R., and Alenda, R.: Estimation of genetic parameters for milk and fat yields of dairy cattle in Spain and in the United States, J. Dairy Sci., 72, 3013–3022, 1989.
Short summary
A Bayesian and REML analyses were used on Tunisian dairy cattle data. Genetic parameters for 305-day milk, fat, and protein yields were estimated. Heritability estimates by using Bayesian method ranged from 0.187 to 0.273, and slightly higher than the corresponding REML. Large genetic correlations (> 0.88) among milk, fat, and protein yields were found for the two methods. This study suggests that results from both methods were reasonably similar to suggest both methods can be used.