Status as of: 2019-08-12

Form GE

DESCRIPTION OF NATIONAL GENETIC EVALUATION SYSTEMS

Country (or countries)	Czech Republic	
Main trait group1	Production	
Breed(s)	Holstein	
Trait definition(s) and unit(s) of measurement2	Milk, fat, protein in kg	
Method of measuring and collecting data	Milk recording data. 
24-hour production collected by milk recording organizations every four weeks.	
Time period for data inclusion	Lactations with calving since January 1st 1995 and later.
Pedigree information of 4 generations.	
Age groups (e.g. parities) included	First 3 lactations, parities 1 to 3 without weights.	
Other criteria (data edits) for inclusion of records	The breed of cows: Hol >= 75% 	
Criteria for extension of records (if applicable)	No extension of records is required	
Sire categories	All sires 	
Environmental effects3, pre-adjustments 	None	
Method (model) of genetic evaluation3	ST-ML-RR-TD-BLUP-AM	
Environmental effects3 in the genetic evaluation model	Herd-test day-parity (F)
Regressions on DIM within parity-season-year-service period-age at first calving or calving interval for later lactations (F)	
Adjustment for heterogeneous variance in evaluation model	No	
Use of genetic groups and relationships	Phantom parent groups are defined according to blood of others breeds and birth year 	
Blending of foreign/Interbull information in evaluation	No	
Genetic parameters in the evaluation	see Appendix	
System validation	Correlations between mothers and daughters.
Interbull trend validation methods I, III.	
Expression of genetic evaluations
If standardised (e.g. RBV), give standardisation formula in the appendix	EBVlact is calculated as sum of test day EBV from 5 day to day 305.
EBVtot is calculated as average of all three lactations without weights.
EBVtot is published as EBV standardized to equal variance as before subtraction of base.	
Definition of genetic reference base
Next base change	Cow base – cows born in 2005.

2018	
Calculation of reliability	R = SW / (SW + K) ; SW = effective number of daughters 
                                 K = (1 – h2) / h2	
Criteria for official publication of evaluations	minimum number of herds = 10	
Number of evaluations / publications per year	6	
Use in total merit index4	TMI = 0.49*Production + 0.15*Fertility + 0.07*UdderHealth + 
  + 0.05*Longevity + 0.24*Conformation
TMI = 0.225*ProteinKG + 0.115*FatKG + 0.11*Protein% + 
  + 0.04*Fat% + 0.075* heifersCR+ 0.075*CowCR +   
  + 0.07*SomaticCells + 0.05*Longevity + 0.06*Feet&Legs +
  + 0.0225*FootAngle(#) + 0.01*RearLegRearView(#) 
  + 0.0175* Locomotion(#) + 0.0375*UdderDepth(#)  +
  + 0.025*ForeUdderAttachment(#)  + 0.0225*UdderSupport(#)  +
  + 0.0125*RearTeatPlacement(#)  + 0.01625*RearUdderHeight(#)  +         
  + 0.01625*TeatLength(#)
TMI is standardized to mean 100 and st. dev. 12. Traits marked as (#) are only for purpose of TMI computation reaching highest value in optimum for each trait (since 08/2019).	
Anticipated changes in the near future		
Key reference on methodology applied		
Key organisation: name, address, phone, fax, e-mail, web site	Czech Moravian Breeders’ Corporation
252 09 Hradistko, Benesovska123
Ph. ++420 257 896 444
Fax. ++420 257 740 491
e-mail: cmsch@cmsch.cz
website: www.cmsch.cz
www.plemdat.cz	
1) Either: Production (e.g. milk, fat, protein), Conformation, Health (e.g. mastitis resistance, milk somatic cell, resistance to diseases other than mastitis), Longevity, Calving (e.g. stillbirth, calving ease), Female fertility (e.g. non-return rate, interval between reproductive events, number of AI’s, heat strength), Workability (e.g. milking speed, temperament), Beef production, Efficiency (e.g. body weight, energy balance, body conditioning score), or Other traits.
2) Indicate frequencies per category if the trait is categorical and specify transformation of data if practiced.
3) Use abbreviations for most common effects (see document with list of abbreviations at http://www-interbull.slu.se/service_documentation/General/list_of_abbreviations.rtf) and indicate random (R) or fixed (F).
4) Please give economic weights and indicate how they are expressed (preferably in genetic standard deviation units).

Form GE	Appendix GE

Parameters used in genetic evaluation

Country (or countries):	Czech Republic	
Main trait group:	Production	
Breed (repeat as necessary):	Holstein	

Trait	Definition	ITBa	h2b	genetic
varianceb	official proof
standardisation formulac	
Milk	Milk yield for 6-306 days in kgs	 X	    0.39	  367 291	See appendix PR	
Fat	Milk yield for 6-306 days in kgs	 X	    0.38	   574.48		
Protein	Milk yield for 6-306 days in kgs	 X	    0.37	   349.64		

						

						

						

						

a	Indicate, with X, traits that are submitted to Interbull for international genetic evaluations.
b	If repeated records are treated as separate traits, provide heritability estimates and genetic variances separately for each trait, as well as for all traits pooled, i.e. for the trait submitted to Interbull.
c	Expressed as follows:
StandEval=((eval-a)/b)*c+d where a=mean of the base adjustment, b=standard deviation of the base, c=standard deviation of expression (include sign if scale is reversed), and d=base of expression.

Form GE	Appendix PR

Parameters for national genetic evaluations for production traits as provided to Interbull

Country (or countries):	Czech Republic	
Main trait group:	Production	
Breed(s):	Holstein	

Trait	h2a	genetic
variancea	official proof
standardisation formulab	
Milk yield:
	1. lact.     0.33
2. lact.     0.30
3. lact.     0.29
Pooled     0.39	         304 423
         432 500
         478 218
         367 291  	a = cow base
b = standard deviation of bulls
c = 450
d = 0	
Fat yield:
	1. lact.     0.27
2. lact.     0.30
3. lact.     0.29
Pooled     0.38	               389
               718
               817
               574	a = cow base
b = standard deviation of bulls
c = 17
d = 0	
Protein yield:
	1. lact.     0.29
2. lact.     0.28
3. lact.     0.30
Pooled     0.37	               257
               409
               510
               350 	a = cow base
b = standard deviation of bulls
c = 14
d = 0	
a	If lactations, or part of lactations, are treated as separate traits, provide heritability estimates and genetic variances separately for each lactation, as well as for all lactations pooled, i.e. for the trait submitted to Interbull.
b	Expressed as follows:
StandEval=((eval-a)/b)*c+d where a=mean of the base adjustment, b=standard deviation of the base, c=standard deviation of expression (include sign if scale is reversed), and d=base of expression.

    Standardisation formula is valid for each lactation separately and for EBV submitted to Interbull too, but for this one is a=0.

                            Genetic correlations (above) and PE correlations (bellow diagonal)
Milk	1.lact.	2.lact.	3.lact.	
1.lact.	    -	 .892	 .814	
2.lact.	 .429	   -	 .903	
3.lact.	 .347	 .510	  -	
Fat       	1.lact.	2.lact.	3.lact.	
1.lact.           	   -	 .879	 .815	
2.lact                                 	 .428	   -	 .911.	
3.lact.	 .330	  .484 	   -         	
Protein	1.lact.	2.lact.	3.lact.	
1.lact.	   -	 .878	 .790	
2.lact.	 .446	   -	 .907	
3.lact.	 .331	 .531	   -	

Czech Republic
Holstein                                  Genetic covariance matrix for 6-305 day 
 
Milk	1.lact.	2.lact.	3.lact.	
1.lact.	304 423.6	323 824.7	310 554.0	
2.lact.	323 824.7	432 500.4	410 860.9	
3.lact.	310 554.0	410 860.9	478 218.3	

Fat	1.lact.	2.lact.	3.lact.	
1.lact.	388.989	464.853	 459.859	
2.lact.	464.453	718.043	 698.214	
3.lact.	459.859	698.214	 817.409	

Protein	1.lact.	2.lact.	3.lact.	
1.lact.	257.253	284.551	286.355	
2.lact.	284.551	408.515	414.369	
3.lact.	286.355	414.369	510.415	

                                                     PE covariance matrix for 6-305 day 
             
Milk	1.lact.	2.lact.	3.lact.	
1.lact.	616 305.0	  337 544.6	  293 736.7	
2.lact.	337 544.6	1004 916.4	  551 046.8	
3.lact.	293 736.7	  551 046.8	1162 428.1	

                                                                           Fat	1.lact.	2.lact.	3.lact.	
1.lact.	1047.965	 565.663	 474.248	
2.lact.	 565.663	1665.613	 875.841	
3.lact.	474.248	  875.841	1969.071	

Protein	1.lact.	2.lact.	3.lact.	
1.lact.	632.291	  362.066	  284.262	
2.lact.	362.066	1043.935	  584.944	
3.lact.	284.262	  584.944	1162.784	

                                         Residual covariance matrix for 6-305 day                    
Milk	1.lact.	2.lact.	3.lact.	
1.lact.	    1434.92	        0	       0	
2.lact.	         0	   2174.06	       0	
3.lact.	         0	        0	   2526.96	

Fat	1.lact.	2.lact.	3.lact.	
1.lact.	4.991	    0	 0	
2.lact.	   0	7.8757	 0	
3.lact.	   0	    0 	8.7627	

Protein	1.lact.	2.lact.	3.lact.	
1.lact.	1.8078	  0	0	
2.lact.	 0	2.6741	0	
3.lact.	 0	  0	2.9809