Assessing different cross-validation schemes for predicting novel traits using sensor data: an application to dry matter intake and residual feed intake using milk spectral data

Feed efficiency is important for economic profitabil- ity of dairy farms; however, recording daily dry matter intakes (DMI) is expensive. Our objective was to inves- tigate the potential use of milk mid-infrared (MIR) spec- tral data to predict proxy phenotypes for DMI based on different cross-validation schemes. We were specifically interested in comparisons between a model that included only MIR data (Model M1), a model that incorporated different energy sink predictors, such as body weight,...