Metabolism in lactating cows with subclinical mastitis

Abstract

Mastitis is one of the key factors slowing down the growth of milk productivity and worsening the sanitary indicators of milk produced on farms. These diseases can manifest themselves in different periods of the cows' life, including lactation, start-up and dry period, however, they most often occur during the lactation period, when the mammary gland is subjected to significant loads. The research was aimed at analyzing the manifestation of mastitis in dairy cows in the Amur region. The object of the study is highly productive Holstein cows with an average live weight of 600±50 kg. In order to conduct a comprehensive analysis of metabolic processes in lactating cows, two groups of ten animals each were formed. The first group consisted of cows with confirmed subclinical mastitis, while the second group included clinically healthy individuals. The diagnosis of subclinical mastitis was made using the Kenotest express diagnostic kit. The study included an analysis of biochemical parameters of the blood serum of cows with subclinical mastitis. In the cows of the first group with subclinical mastitis, the bilirubin values were increased by 45.5% (p<0.05), cholesterol by 38.7% (p><0.05). In terms of mineral metabolism, an increase in phosphorus by 37.5% (p><0.001) and a decreased calcium level by 13.0% (p><0.05) were noted. Protein metabolism in cows with subclinical mastitis was characterized by a lower level of albumin (by 18.1%, p><0.001). Blood serum levels were measured using a StatFax 1904+R photometer with Vital biochemical reagents. Microsoft Excel was used for statistical processing, calculating the arithmetic mean (M), and the error of the mean (m). > < 0.05), cholesterol by 38.7% (p < 0.05). In terms of mineral metabolism, an increase in phosphorus by 37.5% (p < 0.001) and a decreased calcium level by 13.0% (p < 0.05) were noted. Protein metabolism in cows with subclinical mastitis was characterized by a lower level of albumin (by 18.1%, p < 0.001). Blood serum levels were measured using a StatFax 1904+R photometer with Vital biochemical reagents. Microsoft Excel was used for statistical processing, calculating the arithmetic mean (M), and the error of the mean (m).