Mastitis treatment decision system

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Title Mastitis treatment decision system: a path for the future
Author(s) Danny Doyle
Date 2010
Institution University of Prince Edward Island
Supervisor(s) Juergen Krause
Degree earned Master of Business Administration
Place published Charlottetown, P.E.I.
Abstract Mastitis is a disease of the cow’s mammary gland system which is of great concern to dairy producers. Antibiotics are the most common treatment measure for mastitis however treatment is ineffective in eighty percent of cases. Laboratory milk diagnostic analysis has been developed to better manage mastitis treatment. Delayed availability of results from off farm labs have provided unsatisfactory outcomes for producers. This dissatisfaction has lead to an opportunity for Maritime Quality Milk to market the Mastitis Treatment Decision System which they have developed. This system is used on the farm and provides timely and accurate analytical information which assists in treatment decisions. A qualitative research study has determined dairy producer’s perception of towards mastitis and its treatment. Maritime Quality Milk must act quickly and take decisive action to protect the potential of the current Mastitis Treatment Decision System as well as future offerings.
Use/Reproduction In presenting this signature project report in partial fulfilment of the requirements for a Master of Business Administration degree from the University of Prince Edward Island, the author has agreed that the Robertson Library, University of Prince Edward Island, may make this signature project freely available for inspection and gives permission to add an electronic version of the signature project to the Digital Repository at the University of Prince Edward Island. Moreover the author further agrees that permission for extensive copying of this signature project report for scholarly purposes may be granted by the professor or professors who supervised the author’s project work, or, in their absence, by the Dean of the School of Business. It is understood that any copying or publication or use of this signature project report or parts thereof for financial gain shall not be allowed without the author’s written permission. It is also understood that due recognition shall be given to the author and to the University of Prince Edward Island in any scholarly use which may be made of any material in the author’s report.

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