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2004
2004
2004
R. L. Powell, A. H. Sanders, and H. D. NormanAnimal Improvement Programs LaboratoryAgricultural Research Service, USDA, Beltsville, [email protected]
Country bias in international dairy bull
evaluations
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MACE Evaluation Process
Interbull combines yield evaluations from 27 national Holstein bull populations.
Estimated genetic correlations between evaluations from different populations are applied.
Results are reported on the scale of each participating country organization.
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Investigation of Country Bias
Full brothers are expected to have the same genetics on average.
Full brothers with daughters in different countries should have the same MACE evaluations (on average).
Do full brother evaluations reveal country bias?
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Data
May 2005 Interbull evaluations of Holsteins for milk, fat, and protein yields, and SCS
Eligible bulls ≥1 eligible full-brother Daughters in only one eligible country
Eligible countries Represented in ≥25 multi-country families 18 countries for yield 15 countries for SCS
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Data
Bulls Families
Yield All families 24,652 10,191
Multi-country families
9916 3598
SCS All families 22,842 9022
Multi-country families
9489 3283
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Multi-Country Families
Home Country
Families
Home Country
Families
Yield SCS Yield SCSAustralia 85 54 Italy 237 223Canada 641 628 Japan 763 754Czech Rep. 121 New Zealand 44 39Denmark 505 485 Poland 70
France 1162108
9 South Africa 32 30Germany 939 845 Spain 215 207Gr. Britain 468 432 Sweden 48 44
Hungary 67 54The Netherlands 637 599
Ireland 159 United States 1631159
6
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Ties Between Countries
Home Country
Ties
Home Country
Ties
Yield SCS Yield SCSAustralia 122 78 Italy 328 302Canada 773 751 Japan 979 959Czech Rep. 153 New Zealand 55 48Denmark 646 595 Poland 81
France 1481136
4 South Africa 48 42
Germany 1176103
6 Spain 302 280Gr. Britain 650 582 Sweden 54 49
Hungary 82 66The Netherlands 802 736
Ireland 232 United States 1978191
0
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US Ties to Other Countries
Home Country
Ties
Home Country
Ties
Yield SCS Yield SCSAustralia 32 20 Italy 51 51Canada 337 333 Japan 491 490Czech Rep. 11 New Zealand 15 15Denmark 56 51 Poland 6 France 476 473 South Africa 8 8Germany 140 140 Spain 58 57Gr. Britain 109 104 Sweden
Hungary 18 15The Netherlands 154 153
Ireland 16 United States 1978191
0
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Model
Full-brother family (absorbed)
Country of bull daughters
Analysis of MACE evaluations on the US scale
Difference between evaluations based on foreign daughters and those based on domestic (US) daughters
Evaluations on several other country scales also analyzed
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Results
Overall significance for country differences on all country scales for yield traits
Overall, no significance for SCS
For SCS, South African bulls significantly disadvantaged on all scales
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Results for US-Scale Evaluations
Countries with evaluations more favorable (blue) or less favorable (pink) than those from USA (P<0.05)
Milk Fat Protein SCS
AUS ESP GBR JPN
DEU FRA ITA
AUS ZAF
GBR AUS GBR ZAF
DEU JPN
ZAF
AUS=Australia; DEU=Germany; ESP=Spain; FRA=France; GBR=United Kingdom; ITA=Italy; JPN=Japan; USA=United States of America; ZAF=South African Republic;.
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Results for Other Evaluation Scales
Milk:
Domestic bulls disadvantaged on scales of CAN, ITA, and NLD similarly to US bulls on the US scale
Domestic bulls generally favored on scales of AUS and DEU
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Results for Other Evaluation Scales
Milk:
Domestic bulls disadvantaged on scales of CAN, ITA, and NLD similarly to US bulls on the US scale
Domestic bulls generally favored on scales of AUS and DEU
Fat: Bulls from AUS, GBR, and ZAF were favored on scales of CAN, FRA, ITA, and NLD
All but NZL and ZAF bulls disadvantaged on AUS scale
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Results for Other Evaluation Scales
Milk:
Domestic bulls disadvantaged on scales of CAN, ITA, and NLD similarly to US bulls on the US scale
Domestic bulls generally favored on scales of AUS and DEU
Fat: Bulls from AUS, GBR, and ZAF were favored on scales of CAN, FRA, ITA, and NLD
All but NZL and ZAF bulls disadvantaged on AUS scale
Protein results similar to milk
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Possible Complications
Genetic correlations
Parent averages (completeness and phantom grouping)
National animal model vs. sire-MGS MACE
Preferential treatment
Pre-selection (markers, etc.)
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Conclusions
Apparent biases for yields but not SCS
Some countries appear disadvantaged while others are favored across all country scales
Caused by shortcomings in national systems or international system?
Source of biases unknown and may be different for different country pairs