title: Accuracy of Igenity genomically estimated breeding values  for predicting Australian Angus BREEDPLAN traits.
abstract: Genomically estimated breeding values (GEBV) for Angus beef cattle are available from at least 2 commercial suppliers (Igenity [http://www.igenity.com] and Zoetis [http://www.zoetis.com]). The utility of these GEBV for improving genetic evaluation depends on their accuracies, which can be estimated by the genetic correlation with phenotypic target traits. Genomically estimated breeding values of 1,032 Angus bulls calculated from prediction equations (PE) derived by 2 different procedures in the U.S. Angus population were supplied by Igenity. Both procedures were based on Illuminia BovineSNP50 BeadChip genotypes. In procedure sg, GEBV were calculated from PE that used subsets of only 392 SNP, where these subsets were individually selected for each trait by BayesCπ. In procedure rg GEBV were calculated from PE derived in a ridge regression approach using all available SNP. Because the total set of 1,032 bulls with GEBV contained 732 individuals used in the Igenity training population, GEBV subsets were formed characterized by a decreasing average relationship between individuals in the subsets and individuals in the training population. Accuracies of GEBV were estimated as genetic correlations between GEBV and their phenotypic target traits modeling GEBV as trait observations in a bivariate REML approach, in which phenotypic observations were those recorded in the commercial Australian Angus seed stock sector. Using results from the GEBV subset excluding all training individuals as a reference, estimated accuracies were generally in agreement with those already published, with both types of GEBV (sg and rg) yielding similar results. Accuracies for growth traits ranged from 0.29 to 0.45, for reproductive traits from 0.11 to 0.53, and for carcass traits from 0.3 to 0.75. Accuracies generally decreased with an increasing genetic distance between the training and the validation population. However, for some carcass traits characterized by a low number of phenotypic records (weight, intramuscular fat, and eye muscle area), accuracies were observed to increase but had large SE. Therefore, Igenity GEBV can be useful to Australian Angus breeders, either for blending EBV or as the sole basis for selection decisions if no other information is available. However, for carcass traits, additional phenotypic data are required.
authors.forename: V
authors.initials: V
authors.lastname: Boerner
authors.forename: D
authors.initials: D
authors.lastname: Johnston
authors.forename: X-L
authors.initials: XL
authors.lastname: Wu
authors.forename: S
authors.initials: S
authors.lastname: Bauck
mesh_terms: D000818:Animals; D001315:Australia; D001499:Bayes Theorem; D001947:Breeding / Q000379:methods*; D002417:Cattle / Q000235:genetics* / Q000254:growth & development*; D016678:Genome / Q000235:genetics*; D023281:Genomics / Q000379:methods; D005838:Genotype; D008297:Male; D008460:Meat / Q000592:standards*; D008954:Models, Biological; D010641:Phenotype; D020641:Polymorphism, Single Nucleotide / Q000235:genetics; D012044:Regression Analysis