Multi-Breed Genomic Predictions for Average Daily Gain in Three Italian Beef Cattle Breeds.

ABSTRACT: Marchigiana, Chianina, and Romagnola are three Italian autochthonous beef cattle breeds that have been historically selected for meat production. Recent advancements suggest that the use of genomic data and multi-breed (MB) models to combine information from different breeds may help to increase the accuracies of genomic predictions, in particular if the available data per breed is limited. This study aimed to evaluate and compare the accuracies of genomic predictions for average daily gain (ADG) in the three Italian breeds. We implemented different scenarios using phenotypes collected on 5303 young bulls in performance tests across the three breeds, 23,793 pedigree records, and 4593 genotypes, and then validated through the linear regression method. The implemented scenarios were: pedigre

SUBMITTER: Colombi D 

PROVIDER: S-EPMC12686752 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature