Development of Angus SteerSELECT: a genomic-based tool to identify performance differences of Australian Angus steers during feedlot finishing: Phase 1 validation

Context Genomic-based technologies are allowing commercial beef producers to predict the genetic merit of individual animals unknown pedigree with increased ease and accuracy. Genomic selection tools that can accurately feedlot carcass performance steers have potential improve profitability for supply chain. Aims To validate ability Angus SteerSELECT genomic product differences in Australian steers, terms weight, marbling score, ossification score value, using a short-fed (100 days) or long-fed (270 finishing protocol at feedlot. Methods A reference population 2763 was used generate prediction equations three traits, namely, ossification. The accuracy bias predictions breeding values were then evaluated validation 522 either short- feedlot, by comparing measured phenotypes. economic benefits operators when estimated on basis tool value population. Key results 0.752, 0.723 0.734 respectively. When ranked quartiles predicted calculated weight least-square mean each quartile, from bottom 25% performers top performers, A$1794, A$1977, A$2021 A$2148 A$3546, A$3780, A$3864 A$4258 steers. Differences least-squares between quartile highly significant (P < 0.001) both Conclusions Implications performance, growth characteristics, cattle significantly increase chain improving quality consistency products they produce.