Abstract #T104

# T104
Application of milk mid-infrared (MIR) spectrometry in the dairy cattle industry in Canada.
Saranya Gunasegaram*1, Allison Fleming1, Astrid Koeck1, Francesca Malchiodi1, Mehdi Sargolzaei1,2, Milena Corredig3,4, Flavio Schenkel1, Bonnie Mallard5, Ayesha Ali7, Filippo Miglior1,7, 1CGIL,University of Guelph, Guelph, ON, Canada, 2Semex Alliance, Guelph, ON, Canada, 3Gay Lea, Guelph, ON, Canada, 4Department of Food Science, University of Guelph, Guelph, ON, Canada, 5Department of Pathobiology, OVC, University of Guelph, Guelph, ON, Canada, 6Department of Mathematics and Statistics, University of Guelph, Guelph, ON, Canada, 7Canadian Dairy Network, Guelph, ON, Canada.

In Canada, many projects are aiming to integrate milk MIR spectra to develop predictions of milk components and cow status. A proportion of milk spectral data from FOSS MIR machines at Canadian DHI partners, CanWest DHI (Guelph, ON) and Valacta (Sainte-Anne-de-Bellevue, QC), have been saved and transferred to the Canadian Dairy Network, since early 2013. With addition of roughly 60,000 milk spectra every month; from approximately 700,000 cows enrolled in milk recording programs in Canada; the database is nearing 1.8 million. These spectra will be merged with recorded cow reproduction and health events (including hoof health). Currently, University of Guelph is analyzing approximately 2,000 milk samples for their fatty acid profile, milk fat globule and casein micelle size, lactoferrin, calcium, casein, and phospholipid content to use as a reference for developing MIR prediction equations. Genetic and genomic evaluation of Canadian dairy cows and bulls will be done using these MIR predicted milk component traits, with the objective of improving the nutritional value of milk and milk products for human consumption. Use of milk MIR spectra will be incorporated in a pending Canadian project, measuring feed efficiency and methane emissions in dairy cattle as a possible means for prediction. Information available to improve both cow management and genetic evaluation in Canadian dairy industry will be increased with the implementation of MIR prediction of a variety of new milk component and cow traits.

Key Words: milk infrared spectra, genomic, dairy cattle