Status as of: 2010-11-02

Form GENO

DESCRIPTION OF NATIONAL GENOMIC EVALUATION SYSTEMS

Country (or countries)	IRL	
Main trait group1
NOTE! Only one trait group per form!	Production	
Breed(s)	Holstein-Friesian	
Trait definition(s) and unit(s) of measurement2
Attach an appendix if needed	Milk (kg), Fat (kg), Protein (kg)	
Source of genotypes (chips used)	Illumina Bovine SNP50 BeadChip	
Imputation method for missing genotypes	No imputation done	
Propagation of genomic information to non-genotyped descendants and ancestors	Yes, for young animal with no records	
Animals included in reference population (males, females, countries included, total number)	5095 males as of November 2010	
Source of phenotypic data (DYD, deregressed proofs, national EBVs and/or MACE evaluations)	De-regressed proofs (national & MACE)	
Other criteria (data edits) for inclusion of records	SNP edits resulting in ~43k useable SNPs
Parent check
Call rates >95%	
Criteria for extension of records (if applicable)		
Sire categories		
Genomic model (linear, Bayesian, polygenic effect, genotypes or haplotypes)	Linear Model (Van Raden, 2008)	
Blending of direct genomic value (DGV) with traditional EBV	Yes	
Environmental effects in the genetic evaluation model	In national evaluation only	
Adjustment for heterogeneous variance in evaluation model	In national evaluation only	
Computation of genomic reliability	Yes	
Blending of foreign/Interbull information in evaluation	No	
Genetic parameters in the evaluation	Use Appendix GENO 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	Yes	
Expression of genetic evaluations
If standardised (e.g. RBV), give standardisation formula in the appendix	Same as national evaluation	
Definition of genetic reference base	Cows born in 1995 and milk recorded in 2000 set to 0	
Labeling of genomic evaluations	Yes, on bull lists and website	
Criteria for official publication of evaluations	>35% reliability with a calving proof of >50% based on progeny in the country of origin. PTA based on progeny take precedence over genomic information once available	
Number of evaluations / publications per year	3 National, Monthly Genomic evaluation for newly genotyped bulls	
Use in total merit index	Yes, genomic PTA substituted for PTA for genotyped bulls with no progeny	
Anticipated changes in the near future	Use of different chips
Incorporation of genomic information into all descendants
Increasing reference population	
Key reference on methodology applied	VanRaden, P.M. Efficient methods to compute genomic predictions. J. Dairy Sci. 91(11):4414–4423. 2008. 
	
Key organisation: name, address, phone, fax, e-mail, web site	Irish Cattle Breeding Federation (ICBF)
Highfield House, Shinagh, Bandon, Co. Cork, Ireland
Tel: +353238820222
Fax: +353238820229
aeu@icbf.com
www.icbf.com	
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.

Form GENO	Appendix GENO

Parameters used in genetic evaluation

Country (or countries):		
Main trait group:		
Breed (repeat as necessary):		

Trait	Definition	ITBa	h2b	genetic
varianceb	official proof
standardisation formulac	
Milk Yield	305 day milk yield (kg)	X	0.35	215055		
Fat Yield	305 day milk yield (kg)	X	0.35	303		
Protein Yield	305 day milk yield (kg)	X	0.35	177		

						

						

						

						

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.