Clinical value of physiological parameters measured by the herd managment software for identifying bovine clinical mastitis

Abstract

The aim of this thesis To systematize the literature data on the assessment of mastitis by diagnostic value of physiological parameters measured with GEA herd management software (milk yield, electrical conductivity of milk, milk flow rate during milking and walking activity of cows). Work tasks: to analyze variations of milk yeld 30, 20, 10, 5, 3, 1 days before developing udder inflammation; to analyze variations of the electrical conductivity of milk 30, 20, 10, 5, 3, 1 days before developing udder inflammation; to analyze variations of milk flow rate during milking 30, 20, 10, 5, 3, 1 days before developing udder inflammation; to analyze variations of walking activity of cows 30, 20, 10, 5, 3, 1 days before developing udder inflammation. Methods and materials: Scientific reaserch was carried out in the farm „X“ located in Marijampolė district during the period of June – October, 2017. 40 cows were selected for reaserch. 2 groups were formed, each consisting of 20 cows. 1st group included cows diagnosed with clinical mastitis and significant milk yeld decreasion. 2nd group included healthy cows – control group. During research, physiological parameters of cows, such as milk yeld, electrical conductivity of milk, milk flow rate and walking activity of cows, were measured by the herd managment software 30, 20, 10, 5, 3, 1 days before the diagnosis of clinical mastits. Results: Milk yeld 5 days before the development of clinical mastitis decreased 21,09 % (p<0,05) compared to the control group; electrical conductivity increased 18,36 % (p<0,05) 5 days before the development of clinical mastitis compared to the control group; milk flow rate during milking decreased 15,46 % (p<0,05) 5 days before the development of clinical mastitis compared to the control group; walking activity 3 days before the development of clinical mastitis decreased 5,66 % (p<0,05) compared to the control group

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