Multiple regression and machine learning based methods for carcass traits and saleable meat cuts prediction using non-invasive in vivo measurements in commercial lambs

•Early assessment of carcass traits and meat cuts are important to support management decisions in production systems.•Linear regression and machine learning methods were used to predict carcass traits and commercial meat cuts in lambs.•Moderate to high prediction accuracies were observed across methods.•Results indicate that the support vector machine algorithm is a potential alternative to the linear regression model.