The present invention features a method of bovine herd management based upon a dynamic mathematical model. The method gathers data on milk production on a periodic or routine basis for each cow in the herd. The data includes factors denoting both the quantity and the quality of the milk being produced. A database for each cow is established and continuously updated. A mathematical herd management model is used to establish the database, wherein the gathered data is then modified and used to interpret and determine the actual productivity of each cow in the herd for that test day. Using this data, a manager of the herd can then breed those cows having a capability superior to their associates in the herd. Likewise, the less productive members of the herd can be culled or eliminated from the herd. Another aspect of the invention includes the use of the database to quantitatively assess the effect of change, including changes made in formulas, in environmental conditions and in breeding practices. Thus, for the first time, herd management can be scientifically controlled on a quantitative basis. Genetic evaluations can be made from the databases of many herds in order to select primary, artificially inseminated, bulls capable of siring daughters in many herds. For maximum efficiency, databases of many herds can be combined or linked across the entire nation.
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