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Title: Comparison of Different Variance Component Estimation Approaches for MACE: Direct and Bottom-up PC
Contributor(s): Tyriseva, A M (author); Meyer, Karin  (author); Jakobsen, J (author); Ducrocq, V (author); Fikse, F (author); Lidauer, M H (author); Mantysaari, E A (author)
Publication Date: 2009
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Abstract: Multiple-trait across country evaluation (MACE) is used for international genetic evaluation of dairy bulls. MACE treats records in different countries as different traits. Thus, a sire will get a breeding value for each participating country. Whenever a country makes changes to their national evaluation model, the genetic variance-covariance (VCV) matrix needs to be re-estimated. Estimation of the VCV matrix is a different task. For the Holstein production evaluation, which includes 26 traits, it is not possible to estimate the VCV matrix in a single analysis with the currently available estimation methods and the given time constraints. Hence, the complete matrix is built from analyses of sub-sets. This readily results in a non-positive matrix and a bending procedure (Jorjani et al., 2003) needs to be applied to obtain a positive definite matrix. In addition, the VCV matrix is usually over-parameterized as genetic correlations between countries are generally high.
Publication Type: Conference Publication
Conference Details: Interbull 2009: 2009 Interbull Meeting, Barcelona, Spain, 21 - 24 August
Source of Publication: Interbull Bulletin 40: Proceedings of the 2009 Interbull Meeting, v.40, p. 72-76
Publisher: International Bull Evaluation Service
Place of Publication: Uppsala, Sweden
ISSN: 1011-6079
Fields of Research (FoR) 2008: 070201 Animal Breeding
Socio-Economic Objective (SEO) 2008: 830302 Dairy Cattle
HERDC Category Description: E2 Non-Refereed Scholarly Conference Publication
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Appears in Collections:Animal Genetics and Breeding Unit (AGBU)
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