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Implementation and Evaluation of Accurate Dairy Feeding

Year Awarded: 2013
Awarded: $690,000
Team Leader:  AgModels LLC

This project will reduce the dairy industry’s contribution of excess nutrients, particularly phosphorus, to the Great Lakes. Dairy cows are overfed phosphorus routinely for milk production. If less phosphorus goes into the cow, less will come out. With an estimated three million dairy cows in the Great Lakes region, the team expects to reduce annual contributions of phosphorus by 20,000 metric tonnes per year. (To put this into perspective, the Great Lakes Water Quality Agreement of 2012 specified the combined maximum phosphorus loading target for all of the Great Lakes at 31,360 metric tonnes per year.)

The team will meet their goal by developing a novel feed management and nutritional accounting system that will intervene directly in farm feed management practices to streamline dairy operations and reduce nutrient waste. The cloud-based system will interact with feeding systems already available in the market-place. In its final form, the system will consist of a series of modules (mixing, feed inventory, animal inventory and production), and a custom analytical engine that will perform statistical analysis and reporting and provide real-time feedback to on-farm decision-makers. The team will pilot the system on ten large dairy farms in the Great Lakes region.

Once the system has been successfully piloted, the team will develop and initiate a multi-faceted education and outreach program with an emphasis on developing a market for the system. The team will tap into diverse outreach channels that will include: commercial dairy industries, dairy producers, environmental and conservation outreach programs, animal science extension programs, and government agencies. As part of this effort, the team will promote targeted adoption in priority watersheds where CAFOs (concentrated animal feeding operations) impact water quality such as Green Bay, Wisconsin and the Genesee River watershed in New York.