Status as of: 2020-10-01

Form GE

DESCRIPTION OF NATIONAL GENETIC EVALUATION SYSTEMS

Country (or countries)	Poland	
Main trait group1
NOTE! Only one trait group per form!	Calving	
Breed(s)	Holstein (HOL)	
Trait definition(s) and unit(s) of measurement2
Attach an appendix if needed	Calving ease scores: 1 - unassisted, 2 - with assistance, 3 - with veterinary aid, 4 - difficult calving, caesarean or abortion
 Stillbirth:  0 – live, 1 - dead within 24 hours after birth	
Method of measuring and collecting data	Data are routinely collected in national milk recording system	
Time period for data inclusion	Calving records since calving year 2007	
Age groups (e.g. parities) included	Calving records in first three parities 	
Other criteria (data edits) for inclusion of records	Calving records from embryo transfer or multiple births are excluded. Age at calving must be 20-40, 30-56 and 44-75 months for first three parities, respectively. 
Allowed gestation length is between 265 and 295 days. 
Calves or calving cows must have sire and dam known 
Calves with unknown sex accounted for 0.4% data. To avoid too few records in some fixed effects involving calf sex, the calving records 
were treated as if sex of the calves was male. 	
Criteria for extension of records (if applicable)	N/A	
Sire categories	All categories of sires  are evaluated 	
Environmental effects3, pre-adjustments 	None	
Method (model) of genetic evaluation3	MT-ML-BLUP-AM (calving ease and stillbirth jointly evaluated, first three parities, direct and maternal genetic effects) 	
Environmental effects3 in the genetic evaluation model	For each trait* parity combination: herd-year effect (fixed), calving_year_classes*calving_season*sex_of_calf (fixed), and calving_year*calving_month*calving_age_classes*sex_of_calf (fixed)	
Adjustment for heterogeneous variance in evaluation model	Snell transformation is applied
	
Use of genetic groups and relationships	Genetic groups defined based on birth year and selection path 	
Blending of foreign/Interbull information in evaluation	No	
Genetic parameters in the evaluation	Use Appendix GE for heritability/genetic variance estimates; for multiple-trait genetic evaluations, provide genetic correlation estimates between traits separately.
Use also appendices PR, CO, BCO, SM, LO, CA, as applicable, if you participate in the international genetic evaluations of Interbull	
System validation	Interbull validation method 3
	
Expression of genetic evaluations
If standardised (e.g. RBV), give standardisation formula in the appendix	Relative breeding value (RBV): BV standardised with mean=100 and standard deviation=10	
Definition of genetic reference base
Next base change	Bulls born between 2009 and 2011 with data for at least 50 daughters/calves in at least 10 herds
	
Calculation of reliability	multi-trait effective daughter contribution method 	
Criteria for official publication of evaluations	 	
Number of evaluations / publications per year	3	
Use in total merit index4		
Anticipated changes in the near future	None	
Key reference on methodology applied	Liu, Z., F. Reinhardt, A. Bünger, and R. Reents. 2004. Derivation
and calculation of approximate reliabilities and daughter yield deviations of a random regression test-day model for genetic
evaluation of dairy cattle. J. Dairy Sci. 87:1896–1907.
Liu, Z., E. Pasman, F. Reinhardt, and R. Reents. 2012. A multi-parity animal model for genetic evaluation of calving traits enhanced with genomic information. Interbull Bulletin 46:133-142.	
Key organisation: name, address, phone, fax, e-mail, web site		
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):	Poland	
Main trait group:	Calving	
Breed (repeat as necessary):	Holstein 	

Trait	Definition	ITBa	h2b	genetic
varianceb	official proof
standardisation formulac	
Direct calving ease (DCE)	Direct genetic effect of calving ease in 1. parity	X	.048	0.02362	RBV=(-(EBV-aDCE)/bDCE)*10 + 100 	
Maternal calving ease (MCE)	Maternal genetic effect of calving ease in 1. parity	X	.039	0.01898	RBV=(-(EBV-aMCE)/bMCE)*10 + 100	
Direct stillbirth (DSB)	Direct genetic effect of stillbirth in 1. parity	X	.027	0.01022	RBV=(-(EBV-aDSB)/bDSB)*10 + 100	
Maternal stillbirth (MSB)	Maternal genetic effect of stillbirth in 1. parity	X	.054	0.02007	RBV=(-(EBV-aMSB)/bMSB)*10 + 100	
DCE 2. Parity	Direct genetic effect of calving ease in 2. parity.		.026	0.00893		
MCE 2. Parity	Maternal genetic effect of calving ease in 2. parity.		.010	0.00335		
DSB 2. Parity	Direct genetic effect of stillbirth in 2. parity.		.008	0.00155		
MSB 2. Parity	Maternal genetic effect of stillbirth in 2. parity.		.006	0.00120		
DCE 3. Parity	Direct genetic effect of calving ease in 3. parity.		.017	0.00583		
MCE 3. Parity	Maternal genetic effect of calving ease in 3. parity.		.012	0.00426		
DSB 3. Parity	Direct genetic effect of stillbirth in 3. parity.		.006	0.00120		
MSB 3. Parity	Maternal genetic effect of stillbirth in 3. parity.		.005	0.00095		
						
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.

Genetic correlation matrix (effect > trait > parity)

      dCE1   dCE2   dCE3   dSB1   dSB2   dSB3   mCE1   mCE2   mCE3   mSB1   mSB2   mSB3
dCE1  1.00   0.89   0.87   0.74   0.82   0.68  -0.05  -0.17   0.03   0.01  -0.29   0.17
dCE2  0.89   1.00   0.91   0.64   0.83   0.73  -0.06  -0.14   0.08  -0.02  -0.08   0.00
dCE3  0.87   0.91   1.00   0.58   0.77   0.82  -0.08  -0.28  -0.07   0.04  -0.22   0.04
dSB1  0.74   0.64   0.58   1.00   0.80   0.73  -0.03  -0.09   0.10  -0.02  -0.27  -0.01
dSB2  0.82   0.83   0.77   0.80   1.00   0.81   0.06  -0.12   0.09   0.07  -0.10   0.09
dSB3  0.68   0.73   0.82   0.73   0.81   1.00  -0.08  -0.16   0.03   0.08  -0.09   0.11
mCE1 -0.05  -0.06  -0.08  -0.03   0.06  -0.08   1.00   0.76   0.64   0.71   0.62   0.61
mCE2 -0.17  -0.14  -0.28  -0.09  -0.12  -0.16   0.76   1.00   0.91   0.34   0.60   0.66
mCE3  0.03   0.08  -0.07   0.10   0.09   0.03   0.64   0.91   1.00   0.28   0.41   0.58
mSB1  0.01  -0.02   0.04  -0.02   0.07   0.08   0.71   0.34   0.28   1.00   0.63   0.56
mSB2 -0.29  -0.08  -0.22  -0.27  -0.10  -0.09   0.62   0.60   0.41   0.63   1.00   0.47
mSB3  0.17   0.00   0.04  -0.01   0.09   0.11   0.61   0.66   0.58   0.56   0.47   1.00