Status as of: 2020-04-05

Form GE

DESCRIPTION OF NATIONAL GENETIC EVALUATION SYSTEMS

Country (or countries)	Poland	
Main trait group1
NOTE! Only one trait group per form!	Production	
Breed(s)	Polish Holstein-Friesians 	
Trait definition(s) and unit(s) of measurement2
Attach an appendix if needed	Milk (kg), fat (kg), protein (kg) 	
Method of measuring and collecting data	Test-day records between 5 and 305 days in milk. Known sire required. Supervised milkings from A4, AT4, A8 systems.	
Time period for data inclusion	All test day records from 1995 	
Age groups (e.g. parities) included	First three lactations	
Other criteria (data edits) for inclusion of records	Minimum/maximum daily milk yield: 1.0/99.9, fat content 1.5%/9.0%, protein content 1.0%/7.0%	
Criteria for extension of records (if applicable)	Observations from AT4 systems multiplied by correction factors.	
Sire categories	All bulls with progeny information including domestic and foreign AI bulls	
Environmental effects3, pre-adjustments 	No pre-adjustments for environmental effects	
Method (model) of genetic evaluation3	ST – ML – RR – TD – BLUP – AM	
Environmental effects3 in the genetic evaluation model	Fixed herd-test-date effects, fixed lactation curve effects nested within parity x breed x calving year x calving age x calving season classes, random permanent environmental effects for each of the first three lactations	
Adjustment for heterogeneous variance in evaluation model	A pre-adjustment of heterogeneous variances within herd-test-date effects	
Use of genetic groups and relationships	Based on sex, birth-year and HF percentage	
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 methods II and III 
 	
Expression of genetic evaluations
If standardised (e.g. RBV), give standardisation formula in the appendix	Average EBV (Kg) of lactation 1-3 after standardization to first lactation variance. 	
Definition of genetic reference base
Next base change	Average breeding value of cows born in 2015

Calculation of reliability	Using the multi-trait effective daughter contribution method 	
Criteria for official publication of evaluations	AI bulls with minimum of 10 daughters	
Number of evaluations / publications per year	3 (April, August and December)	
Use in total merit index4	Production sub-index has a weight of 40% in total merit index. 	
Anticipated changes in the near future		
Key reference on methodology applied	Jamrozik J., L. R. Schaeffer, and J.C.M. Dekkers. 1997. Genetic evaluation of dairy cattle using test day yields and random regression model. J Dairy Sci 80:1217–1226 
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	
Key organisation: name, address, phone, fax, e-mail, web site	National Research Institute of Animal Production
ul. Krakowska 1, 32-083 Balice,
Tel. (+4812) 2588 133,  (+4812) 2588 136; Fax (+4812) 285 67 33 
e-mail: izooinfo@izoo.krakow.pl
www.izoo.krakow.pl	
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 PR

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

Country (or countries):	Poland	
Main trait group:	Production	
Breed(s):	Polish Holstein-Friesians	

Trait	h2a	genetic
variancea	official proof
standardisation formulab	
Milk yield:
	0.33 
	213,490		
Fat yield:
	0.29 
	330		
Protein yield:
	0.29 
	181		
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.