Application of a structural model for genetic covariances in international dairy sire evaluations

Journal of Dairy Science

Volumn 84, Issue 6, 2001, Pages 1525-1530

  Rekaya, R ^a   Weigel, K A ^a   Gianola, D ^a  

^a UNIVERSITY OF WISCONSIN MADISON   (United States)

Author keywords

Covariance components; Gibbs sampling; Multivariate analysis; Structural model

Indexed keywords

ANALYSIS OF VARIANCE; ANIMAL; ANIMAL HUSBANDRY; ARTICLE; BIOLOGICAL MODEL; BREEDING; CATTLE; COMPARATIVE STUDY; ENVIRONMENT; FEMALE; GENETICS; INTERNATIONAL COOPERATION; LACTATION; MALE; PHYSIOLOGY;

ANALYSIS OF VARIANCE; ANIMAL HUSBANDRY; ANIMALS; BREEDING; CATTLE; ENVIRONMENT; FEMALE; INTERNATIONAL COOPERATION; LACTATION; MALE; MODELS, GENETIC;

EID: 0035377527     PISSN: 00220302     EISSN: None     Source Type: Journal    
DOI: 10.3168/jds.S0022-0302(01)70186-5     Document Type: Article

References (5)

1. International Bull Evaluation Service. 1999. INTERBULL routine genetic evaluation for dairy production traits. May 1999. HTTP://www-interbull.slu.se/eval/May99.html. Accessed June, 1999.
2. Rekaya R., K. Weigel, and D. Gianola. 1999a. Bayesian estimation of parameters of a structural model for genetic covariances between milk yield in five regions of the United States. European Association for Animal Production, 50th Annual Meeting, Zurich, Switzerland, 6pp.
3. Rekaya, R., K. A. Weigel, and D. Gianola. 1999b. Estimation of parameters of a structural model for genetic covariances in international genetic evaluations. Proceedings of the INTERBULL Open Meeting, Zurich, Switzerland, August 26-27, INTERBULL Bulletin 22, 25-30. Uppsala, Sweden.
4. Sigurdsson, A., G. Banos, and J. Philipsson, 1996. Estimation of genetic (co)variance components for international evaluation of dairy bulls. Acta Agri. Scand., Sect. A, Animal Sci. 46, 129-136.
5. Spiegelhalter, D. J., N. G. Best, and B. P. Carlin. 1998. Bayesian deviance, the effective number of parameters and the complexity of arbitrarily complex models. Technical Report, Medical Research Council, Biostatistics Unit, Cambridge, UK.