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Volume 59, issue 2
Arch. Anim. Breed., 59, 243–248, 2016
https://doi.org/10.5194/aab-59-243-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Arch. Anim. Breed., 59, 243–248, 2016
https://doi.org/10.5194/aab-59-243-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

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 et al.

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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.
A Bayesian and REML analyses were used on Tunisian dairy cattle data. Genetic parameters for...
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