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Journal of Dairy Science Vol. 64 No. 10 2083-2095
© 1981 by American Dairy Science Association ®
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Nutritional Modeling and Its Impact on Managerial Goals in Dairy Production

C. A. Brown, C. C. Stallings and S. W. Telega

Department of Dairy Science, Virginia Polytechnic Institute and State University, Blacksburg 24061

ABSTRACT

Conclusion: The need for forming a national nutritional data base as proposed by Ely (28) never has been greater. Work presented here documents the impact a small data base can have an answering important questions regarding nutritional management. As electronic collection of nutritional data through computerized feed intake monitors, infra-red forage testing equipment, automatic milk recording devices, and even implanted transponders becomes a reality, we will see tremendous increase in volume of nutritional data availability. This data bank forseeably could approach the size of the USDA-DHI data set maintained at Beltsville. if dairy nutritionists need a role model to follow, they need look no further than to dairy geneticists to observe the impact such a data base could have on our industry

Unfortunately, it will not happen by itself. Far-sighted nutritionists must train themselves in the science of statistics and modeling. In addition, they must define variables which should be recorded in all experiments and merged into a national data set. Finally, they must use this data set to develop models which ultimately will provide the dairymen with the answer to the main nutritional question that constantly plagues him: "How can I make the most profit to my total farm resources when I feed my cows, heifers, and calves?"






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Copyright © 1981 by the American Dairy Science Association ®.