Status as of: 2016-05-30

Form GENO

DESCRIPTION OF NATIONAL GENOMIC EVALUATION SYSTEMS

Country (or countries)	ITALY	
Main trait group1
NOTE! Only one trait group per form!	PRODUCTION	
Breed(s)	HOLSTEIN	
Trait definition(s) and unit(s) of measurement2
Attach an appendix if needed	Milk, fat and protein kg	
Source of genotypes (chips used)	Illumina 50K v1, Illumina 50K v2, Illumina 3K, Illumina HD, Illumina LD, GeneSeek Genomic Profiler,GeneSeek Genomic Profiler 80K, GGP-Super, EuroG10K,Illumina LD v1.1, GGP-GeneSeek Genomic;
GeneSeek Genomic Profiler HD-80K; GeneSeek Genomic Profiler 2; GeneSeek Genomic Profiler 2; Zoetis MD; EuroG10K; Illumina Infinium BovineLD v1.1 BeadChip; GeneSeek Genomic Profiler 3; Zoetis LD2; Zoetis MD2; GeneSeek Genomic Profiler HD-150K; GeneSeek Ultra LD; GeneSeek Genomic Profiler 4; Zoetis LD4; Affymetrix Axion OviCap Medium Density
	
Imputation method for missing genotypes	Pedimpute	
Propagation of genomic information to non-genotyped descendants and ancestors	No propagation	
Animals included in reference population (males, females, countries included, total number)	Males, 
ITALY, USA , CANADA and GREAT BRITAIN (26184 bulls)	
Source of phenotypic data (DYD, deregressed proofs, national EBVs and/or MACE evaluations)	Deregressed proofs from national and MACE evaluation	
Other criteria (data edits) for inclusion of records	Based on genotypes, individuals that are incompatible with their declared parents are removed. Also, animals with call rate (fraction of markers with genotype results) < 0.90 were removed. Only SNP with minor allele frequency > 0.02 were included.	
Criteria for extension of records (if applicable)	none	
Sire categories	AI bulls	
Genomic model (linear, Bayesian, polygenic effect, genotypes or haplotypes)	
Linear model 	
Blending of direct genomic value (DGV) with traditional EBV	YES:

gEBV = (Edc_EBV*EBV + edc_DGV *DGV)/(edc_EBV+edc_DGV)

EBV = Traditional estimated breeding value
DGV= Direct Estimated Genmic value
gEBV=Genomically Enhanced Estimated Breeding Value	
Environmental effects in the genetic evaluation model	None	
Adjustment for heterogeneous variance in evaluation model	None	
Computation of genomic reliability	Genomic reliability of gEBV:
(edc_EBV + edc_DGV) / ( (edc_EBV + edc_DGV) + k)
k = (4- h2)/h2	
Blending of foreign/Interbull information in evaluation	Yes	
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	Deregressed proofs for bulls proven after August 2008 were predicted from proofs available in August 2008. 
	
Expression of genetic evaluations
If standardised (e.g. RBV), give standardisation formula in the appendix	see traditional publication of EBVs 
	
Definition of genetic reference base	Rolling genetic base: cows born between 2006-2008

April 2014	
Labeling of genomic evaluations		
Criteria for official publication of evaluations	Official since December 2011 	
Number of evaluations / publications per year	3	
Use in total merit index	GPFT	
Anticipated changes in the near future		
Key reference on methodology applied	Fernando et al. (2007) - Genomic selection - Acta Agriculturae Scand Section A, 57: 192-195.
VanRaden, P.M. Efficient methods to compute genomic predictions. J. Dairy Sci. 91(11):4414–4423. 2008.
Schenkel et al. (2009). Reliability of genomic evaluation of Holstein Cattle in Canada. Interbull International Workshop, Genomic Information in Genetic Evaluations, Uppsala, Sweden, January 26-29, 2009.
	
Key organisation: name, address, phone, fax, e-mail, web site	ANAFI
Via Bergamo, 292
26100 CREMONA
ITALY
Phone:  +39-0372-4741
Fax:      +39-0372-474203
e-mail: ricercasvil@anafi.it
web site: www.anafi.it      	
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):	Italy	
Main trait group: Production		
Breed (repeat as necessary):	Holstein	

Trait	Definition	ITBa	h2b	genetic
varianceb	official proof
standardisation formulac	
Milk	305 combined lactation	X	.309			
Fat	305 combined lactation	X	.291			
Protein	305 combined lactation	X	.301			

						

						

						

						

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.