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United States Department of Agriculture

Agricultural Research Service

Research Project: IMPROVING GENETIC PREDICTIONS FOR DAIRY ANIMALS USING PHENOTYPIC AND GENOMIC INFORMATION Title: Development of Genomic GMACE

Authors
item Sullivan, P -
item Vanraden, Paul

Submitted to: Interbull Annual Meeting Proceedings
Publication Type: Proceedings
Publication Acceptance Date: August 21, 2009
Publication Date: December 30, 2009
Citation: Sullivan, P.G., Van Raden, P.M. 2009. Development of Genomic GMACE. Interbull Annual Meeting Proceedings. Interbull Bull. 40:157–161.

Technical Abstract: The use of genomics to enhance national genetic evaluation systems of dairy cattle is quickly becoming standard practice. The current MACE procedure used by Interbull may not accommodate these new “genomically-enhanced” national evaluations. An important assumption in MACE may no longer be valid in the genomics era, the assumption that national evaluations used as input were derived from independent data sets. Genomic predictions are limited by the amount of data currently available within individual countries. Groups of countries may share data, genotypes and/or predicted marker effects to improve genomic predictions,and this will create the need for a modified MACE system, which can account for non-zero residual correlations among genomic predictions from these countries. A system modified for genomics (GMACE) is presented with examples and preliminary results from an application to simulated Brown Swiss data for 9 countries.

Last Modified: 10/31/2014
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