** AWARDS ISSUED PRIOR TO JANUARY 20, 2025, WERE FUNDED UNDER PREVIOUS ADMINISTRATIONS AND MAY NOT REFLECT THE PRIORITIES AND POLICIES OF THE CURRENT ADMINISTRATION.** ENERGY AND PROTEIN FEEDING REPRESENT 65% OF MILK PRODUCTION COSTS. UNDERFEEDING NUTRIENTS RESULTS IN LOST REVENUE, AND OVERFEEDING CAUSES INCREASED COSTS AND ENVIRONMENTAL IMPACT. CURRENT SYSTEMS DO NOT ACCOMMODATE GENETIC DIVERSITY IN NUTRIENT REQUIREMENTS. DISCOVERING TRUE AMINO ACID REQUIREMENTS, AND FEEDING INDIVIDUALS TO MEET THOSE REQUIREMENTS SHOULD RESULT IN $0.22 TO $0.44/COW/DAY ADDITIONAL PROFIT AND 46 TO 92 G/COW/DAY REDUCTION IN NITROGEN EXCRETION.WE HAVE DEVELOPED A DATA COLLECTION AND FEEDING CONTROL SYSTEM THAT USES REAL-TIME DATA TO MONITOR ANIMAL PERFORMANCE, DISCOVER INDIVIDUAL ANIMAL AMINO ACID REQUIREMENTS, AND FORMULATE INDIVIDUL ANIMAL DIETS FED THROUGH ON-FARM AUTOMATED FEEDERS. WE PROPOSE TO COMPLETE DEVELOPMENT OF THE ANOMALY DETECTION SYSTEM, ASSESS ECONOMIC GAINS AND ENVIRONMENTAL IMPACT REDUTIONS WHEN USING THE SYSTEM ON 4 FARMS, DEVELOP EXTENSION PROGRAMMING BASED ON PROJECT RESULTS, AND CONDUCT EXTENSION PROGRAMMING ON NUTRIENT EFFICIENCY, DAIRY PROFIT, AND ENVIORNMENTAL IMPACTS. THE TEST DATA WILL BE MINED IN REAL-TIME TO IMPROVE OUR UNDERSTANDING OF THERMAL STRESS AND NUTRITION, ENVIRONMENT, AND MANAGEMENT FACTORS CONTRIBUTING TO HEALTH DISORDERS. EXTENSION PROGRAMMING FLOWING FROM THE PROJECT WILL BE USED TO IMPROVE PRODUCER AND NUTRITIONIST UNDERSTANDING AND COMPETENCY IN FEEDING AND ANIMAL MANAGEMENT.OVERALL, WE EXPECT THE LONG-TERM OUTCOMES OF THIS WORK TO BE BETTER MANAGEMENT PRACTICES INCLUDING MORE EFFICIENT FEED USE, A GROWING ACCEPTANCE OF USE OF TECHNOLOGY TO ACCOUNT FOR ON-FARM VARIATION, THE EMERGENCE OF ON-FARM APPLICATION OF MACHINE LEARNING, AND GREATER ECONOMIC AND MANAGEMENT INCENTIVES FOR DAIRY PRODUCERS. ULTIMATELY, THESE CHANGES WILL NOT ONLY IMPROVE THE BOTTOM LINE FOR DAIRIES BUT WILL ALSO IMPROVE THE SUSTAINABILITY OF US AGRICULTURE BY ALLOCATING FEWER LAND RESOURCES FOR MILK PRODUCTION. AS DATA ACCUMULATES OVER TIME, WE WILL BE ABLE TO DEVELOP BREEDING VALUES FOR EFFICIENCIES OF DM DIGESTIBILITY AND USE OF INDIVIDUAL METABOLIZED AMINO ACIDS FOR MILK AND BODY TISSUE. THE DATA WILL ALSO SUPPORT MAINTENANCE OF THE ENERGY EFFICIENCY PREDICTIONS. THIS WILL BE CRITICAL TO THE DEVELOPMENT OF A FEED EFFICIENCY SELECTION INDEX THAT INCORPORATES TRAITS INDICATIVE OF RUMEN FUNCTION AND EFFICIENCY BEYOND CURRENT GROWTH MEASURES.