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 Pete Sullivan, CDN
 &
 Paul VanRaden*, USDA

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 Genomics is here now
 National EBVs are being replaced by GEBVs
 GEBVs may not be strictly national
 Countries may share data, or use MACE
 Genetic tests may be repeated (DGAT), shared or sold among countries

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 MACE assumption:
 National data sets are independent, i.e. separate recorded cow
populations
 Sire with EBV from 100 daughters in 3 countries has 300 daughters in
total
 Genomics:
 Sire can have GEBV from 100 daughters in 3 countries with only 100
daughters in total
 MACE must evolve to GMACE

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 Overall objectives:
 Update MACE model for genomic input data from participating countries
 Create GMACE software for application as early as 2010
 Today:
 Introduce GMACE with some examples
 Preliminary results from software tests
 Reactions and feedback from members

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 D is a diagonal matrix
 Residual variances of deregressed proofs
 E = D plus genomic covariances from shared data

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 GMACE for a single sire
 GEBV in 3 countries (A, B, C)
 No data in 4^{th} country D
 All r_{g} = .90, h^{2}
= .33,
 as a young bull (EDC=0+20, ɣ=100%)
 with 1^{st} crop proofs in A, B and C (EDC=100+20, ɣ=17%)

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 GMACE reliability very close to global genomic evaluation model
 If “c” is correct
 No shared data for GEBV in this study (i.e. c=0.0)
 Some error in “c” seems O.K. (c=0.5 still good)
 How robust is GMACE?
 c=? %EDC from genomics ( =?)

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 Need to test GMACE when data are shared among countries for national
GEBVs (c>0)
 Need to extend MACE / MTMACE reliability approximation for GMACE
 Needs multicountry progeny absorption if c>0
 May need MTGMACE (e.g. for fertility traits)
 Are national cow EBVs useful for GMACE?
 Question also for MACE, but
 More important for young genotyped bulls in GMACE

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 Software to extend from national to international GEBVs nearing
completion
 Application by Interbull in 2010?
2011?
 A few developments and validation tests are still needed for the model
and software
 Enhancements may be added after the initial application
 Extension to MTGMACE
 Model refinements

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 Interbull genomics task force
 Georgios Banos
 Mario Calus
 Vincent Ducrocq
 João Dϋrr
 Hossein Jorjani
 Esa Mäntysaari
 Zengting Liu

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