Simulating Patterns of Change in Rates of Secretion of Protein into Milk
Protein is a very important component of cow’s milk, both nutritionally for the consumer and economically for the dairy farmer. In order to manage milk protein production at the farm level, it would be advantageous to have an understanding of its biological regulation that was adequate to predict daily yield. Most of our information regarding regulation of milk protein secretion is derived from arteriovenous difference methodology in which the balance of milk precursors and products is measured across the udder of lactating cows. The purpose of the models presented here is to study the connection between arterial concentrations of milk precursors and the composition of milk produced by bovine mammary glands. More specifically, the models should predict the secretion rate of milk protein by dairy cows, the percentage of milk volume that is protein (this is a factor in many milk pricing schemes), and the arteriovenous differences of milk precursors across the mammary glands (the intermediate pieces of information upon which the knowledge base has been built).
KeywordsMammary Gland Milk Protein Milk Yield Amino Acid Concentration Simulation Strategy
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