Status as of: 2013-08-30
5

Form GE

DESCRIPTION OF NATIONAL GENETIC EVALUATION SYSTEMS

Country (or countries)	Czech Republic	
Main trait group1	Production	
Breed(s)	Simmental	
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: SIM >= 51% 	
Criteria for extension of records (if applicable)	No extension of records is reguired	
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 2000.

2010	
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 = 0.4*Production + 0.17*Beef + 0.43*Fitness
Production Index = 0.2*Fat + 0.8*Protein
Beef Index = 0.444*Net Daily Gain + 0.278*Europ Classes + 
  + 0278*Dressing Percentage
Fertility Index = 0.5*Female Fert (mater.) + 0.5*Male Fert (direct)
Longevity Index = 0.2*Somatic Cells + 0.05*Frame +
  + 0.2*Muscularity + 0.1*Feet and Legs + 0.45*Udder
Fitness Index = 0.2*Fertility Index + 0.8*Longevity Index
RBV (100; 12) are included into computation of TMI. All indexes are standardized to mean 100 and standard deviation 12 too.	
Anticipated changes in the near future		
Key reference on methodology applied	Dedkova Ludmila, Nemcova Eva: Metodika odhadu plemenne hodnoty pro mlecnou uzitkovost skotu test-day modelem
NAZV QC 1235/2003	
Key organisation: name, address, phone, fax, e-mail, web site	Czech Moravian Breeders’ Corporation
170 41 Prague 7, U topiren 2/860
workplace:
252 09 Hradistko, Hradistko 123
Ph. ++420 257 896 444
Fax. ++420 257 740 491
e-mail: cmsch@cmsch.cz
web-site: 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):	Simmental	

Trait	Definition	ITBa	h2b	genetic
varianceb	official proof
standardisation formulac	
Milk	Milk yield for 6-306 days in kgs	 X	    0.33	  223 635	See appendix PR	
Fat	Milk yield for 6-306 days in kgs	 X	    0.32	   394.70		
Protein	Milk yield for 6-306 days in kgs	 X	    0.31	   231.36		
	7					

						

						

						

						
						
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):	Simmental	

Trait	h2a	genetic
variancea	official proof
standardisation formulab	
Milk yield:
	1. lact.     0.30
2. lact.     0.26
3. lact.     0.26
Pooled     0.33	         190 421
         252 741
         318 447
         223 635 	a = cow base
b = standard deviation of bulls
c = 350
d = 0	
Fat yield:
	1. lact.     0.27
2. lact.     0.25
3. lact.     0.28
Pooled     0.32	               311
               449
               615
               395	a = cow base
b = standard deviation of bulls
c = 15
d = 0	
Protein yield:
	1. lact.     0.24
2. lact.     0.25
3. lact.     0.28
Pooled     0.31	               160
               275
               389
               231 	a = cow base
b = standard deviation of bulls
c = 11
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.	    -	 .825	 .674	
2.lact.	 .490	   -	 .882	
3.lact.	 .401	 .602	  -	
Fat       	1.lact.	2.lact.	3.lact.	
1.lact.           	   -	 .856	 .756	
2.lact                                 	 .481	   -	 .887.	
3.lact.	 .399	  .579 	   -         	
Protein	1.lact.	2.lact.	3.lact.	
1.lact.	   -	 .845	 .730	
2.lact.	 .482	   -	 .863	
3.lact.	 .395	 .573	   -	

Czech Republic
Simmental                              Genetic covariance matrix for 6-305 day                 
 
Milk	1.lact.	2.lact.	3.lact.	
1.lact.	190 420.9	187 742.7	186 182.8	
2.lact.	187 742.7	252 740.7	251 629.7	
3.lact.	186 182.8	251 629.7	318 447.0	

Fat	1.lact.	2.lact.	3.lact.	
1.lact.	311.294	315.856	 319.255	
2.lact.	315.856	449.153	 453.371	
3.lact.	319.255	453.371	 614.891	

Protein	1.lact.	2.lact.	3.lact.	
1.lact.	160.049	172.982	168.244	
2.lact.	172.982	274.665	288.142	
3.lact.	168.244	288.142	388.798	

                                                     PE covariance matrix for 6-305 day 
             
Milk	1.lact.	2.lact.	3.lact.	
1.lact.	448 397.7	276 068.4	251 440.2	
2.lact.	276 068.4	734 620.2	466 939.6	
3.lact.	251 440.2	466 939.6	885 654.9	

Fat                                                                	1.lact.	2.lact.	3.lact.	
1.lact.	856.112	  522.335	  464.280	
2.lact.	522.335	1372.729	  851.830	
3.lact.	464.280	  851.830 	1611.579	

Protein	1.lact.	2.lact.	3.lact.	
1.lact.	510.846	  321.487	  289.596	
2.lact.	 321.487	 843.547	  558.317	
3.lact.	289.596	 558.317  	1019.383	

                                         Residual covariance matrix for 6-305 day                                                                   

Milk	1.lact.	2.lact.	3.lact.	
1.lact.	    885.48	        0	       0	
2.lact.	         0	   1 226.07	       0	
3.lact.	         0	        0	   1431.92	

Fat	1.lact.	2.lact.	3.lact.	
1.lact.	3.1391	    0	 0	
2.lact.	   0	4.8362	 0	
3.lact.	   0	    0 	5.5380	

Protein	1.lact.	2.lact.	3.lact.	
1.lact.	1.1464	  0	0	
2.lact.	 0	1.5876	0	
3.lact.	 0	  0	1.8018