Latent Biochemical Relationships in the Blood-Milk Metabolic Axis of Dairy Cows Revealed by Statistical Integration of H-1 NMR Spectroscopic Data
Anthony D Maher, Benjamin Hayes, Benjamin Cocks, Leah Marett, William J Wales, Simone J Rochfort
Journal of Proteome Research | AMER CHEMICAL SOC | Published : 2013
A detailed understanding of the relationships between the distinct metabolic compartments of blood and milk would be of potential benefit to our understanding of the physiology of lactation, and potentially for development of biomarkers for health and commercially relevant traits in dairy cattle. NMR methods were used to measure metabolic profiles from blood and milk samples from Holstein cows. Data were analyzed using PLS regression to identify quantitative relationships between metabolic profiles and important traits. Statistical Heterospectroscopy (SHY), a powerful approach to recovering latent biological information in NMR spectroscopic data sets from multiple complementary samples, was ..View full abstract
Funding for this research was provided by the Dairy Futures Cooperative Research Council, Gardiner Foundation, Victoria and Department of Primary Industries, Victoria, Australia.