Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/18911
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dc.contributor.authorBoerner, Vinzenten
dc.contributor.authorJohnston, Daviden
dc.contributor.authorWu, X-Len
dc.contributor.authorBauck, Sen
dc.date.accessioned2016-04-22T15:53:00Z-
dc.date.issued2015-
dc.identifier.citationJournal of Animal Science, 93(2), p. 513-521en
dc.identifier.issn1525-3163en
dc.identifier.issn0021-8812en
dc.identifier.urihttps://hdl.handle.net/1959.11/18911-
dc.description.abstractGenomically 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.en
dc.languageenen
dc.publisherAmerican Society of Animal Scienceen
dc.relation.ispartofJournal of Animal Scienceen
dc.titleAccuracy of Igenity genomically estimated breeding values for predicting Australian Angus BREEDPLAN traitsen
dc.typeJournal Articleen
dc.identifier.doi10.2527/jas.2014-8357en
dc.subject.keywordsAnimal Breedingen
local.contributor.firstnameVinzenten
local.contributor.firstnameDaviden
local.contributor.firstnameX-Len
local.contributor.firstnameSen
local.subject.for2008070201 Animal Breedingen
local.subject.seo2008830301 Beef Cattleen
local.profile.schoolAnimal Genetics and Breeding Uniten
local.profile.schoolAnimal Genetics and Breeding Uniten
local.profile.emailvboerner@une.edu.auen
local.profile.emaildjohnsto@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordune-20160414-120715en
local.publisher.placeUnited States of Americaen
local.format.startpage513en
local.format.endpage521en
local.identifier.scopusid84973316017en
local.peerreviewedYesen
local.identifier.volume93en
local.identifier.issue2en
local.contributor.lastnameBoerneren
local.contributor.lastnameJohnstonen
local.contributor.lastnameWuen
local.contributor.lastnameBaucken
dc.identifier.staffune-id:vboerneren
dc.identifier.staffune-id:djohnstoen
local.profile.orcid0000-0002-4995-8311en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:19113en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleAccuracy of Igenity genomically estimated breeding values for predicting Australian Angus BREEDPLAN traitsen
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorBoerner, Vinzenten
local.search.authorJohnston, Daviden
local.search.authorWu, X-Len
local.search.authorBauck, Sen
local.uneassociationUnknownen
local.identifier.wosid000357086600006en
local.year.published2015en
local.subject.for2020300305 Animal reproduction and breedingen
local.subject.seo2020100401 Beef cattleen
Appears in Collections:Animal Genetics and Breeding Unit (AGBU)
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