Metabolic profiling of early-lactation dairy cows using milk mid-infrared spectra
TDW Luke, S Rochfort, WJ Wales, V Bonfatti, L Marett, JE Pryce
Journal of Dairy Science | ELSEVIER SCIENCE INC | Published : 2019
Metabolic disorders in early lactation have negative effects on dairy cow health and farm profitability. One method for monitoring the metabolic status of cows is metabolic profiling, which uses associations between the concentrations of several metabolites in serum and the presence of metabolic disorders. In this cross-sectional study, we investigated the use of mid-infrared (MIR) spectroscopy of milk for predicting the concentrations of these metabolites in serum. Between July and October 2017, serum samples were taken from 773 early-lactation Holstein Friesian cows located on 4 farms in the Gippsland region of southeastern Victoria, Australia, on the same day as milk recording. The concen..View full abstract
We thank DairyBio, jointly funded by Dairy Australia (Melbourne, Australia) and Agriculture Victoria (Melbourne, Australia), for funding this project and T. Luke's PhD project. This work was part of a project "MIRprofit: integrating very large genomic and milk midinfrared data to improve profitability of dairy cows," supported by funding from the Australian Government Department of Agriculture (Canberra, Australia) as part of the Rural R&D for Profit programme. The authors also thank Di Mapleson, Brigid Ribaux, and the staff at Ellinbank Dairy Research Centre (Ellinbank, Australia) for their technical expertise and assistance, Erika Oakes and Michelle Axford of Datagene (Bundoora, Australia) for their work coordinating this study, and the farmers who took part in this project.