Table 4. National evaluation data considered in the Interbull routine
evaluation for dairy production traits (May 2006).Evaluation model summary
 
h2
Country Breed(s) milk fat prot model

Australia AYS GUE HOL JER .25 .25 .25 ST R AM
Belgium# HOL .38 .43 .41 MT ML RR TD AM
Canada AYS .38 .34 .37 MT ML RR TD AM
BSW .41 .36 .38 - " -
GUE .41 .35 .38 - " -
HOL .41 .34 .37 - " -
JER .44 .39 .41 - " -
Czech Republic HOL .39 .38 .37 ST ML RR TD AM
SIM .33 .32 .31 ST ML RR TD AM
Denmark### AYS .39 .35 .32 TD
HOL RHOL .41 .38 .35
JER .44 .35 .38
Estonia AYS .26 .20 .23 ST ML FR TD AM
HOL .26 .20 .23
France BSW HOL RHOL SIM MON .30 .30 .30 ST R  AM
Germany/Austria AYS HOL JER .49 .48 .48 ST ML RR TD AM
BSW .46 .41 .39 ST ML RR TD AM
SIM .43 .38 .34 - " -
Hungary HOL SIM .25 .20 .20 ST R  AM
Ireland HOL SIM .35 .35 .35 ST R  AM
Israel HOL .43 .52 .41 ST ML AM
Italy BSW .20 .14 .18 ST R FR TD AM
HOL .31 .29 .30 MT ML RR TD AM
JER .30 .30 .30 ST R  AM
SIM .18 .11 .17 ST R  FR TD AM
Japan HOL .32 .31 .27 ST R  AM
Netherlands## BSW HOL JER SIM .58 .58 .51 ST ML RR TD AM
New Zealand AYS BSW GUE HOL JER .35 .28 .31 ST R  AM
Norway AYS .26 .19 .21 ST R  AM
Poland HOL .26 .23 .20 ST ML AM
Rep. South Africa AYS .19 .12 .17 MT R  FR TD AM
GUE .24 .13 .19 MT R  FR TD AM
HOL .19 .12 .17 MT R  FR TD AM
JER .24 .20 .23 MT R  FR TD AM
Slovenia BSW .33 .27 .28 ST R  AM
HOL .30 .26 .25 - " -
SIM .37 .30 .31 - " -
Spain HOL .28 .28 .28 ST R  AM
Switzerland BSW .36 .34 .35 MT ML RR TD AM
RHOL SIM .41 .36 .36 MT ML RR TD AM
HOL .40 .36 .36 MT ML RR TD AM
United Kingdom AYS HOL .59 .48 .55 ST ML RR TD AM
GUE JER .59 .49 .55 ST ML RR TD AM
United States AYS GUE HOL .30 .30 .30 ST R  AM
BSW JER .35 .35 .35 - " -

# Walloon part of Belgium
## The Netherlands + Flemish part of Belgium
### Denmark + Finland + Sweden
RHOL = Red Holstein; MON = Montbeliarde
AM=Animal Model; SM=Sire/Maternal Grandsire Model
ST ML=Model with lactations as correlated traits;
MT=Multiple-traits; MT SL=Multiple-trait model with single lactation;
TD=Test Day Model; FR=Fixed regression; RR=Random regression