Year: 2018 | Month: April | Volume 8 | Issue 2
Estimation of Probability of a Particular Milch Animal to Pick Up Mastitis
Abstract:
Mastitis is the most important and expensive disease of dairy industry. The aim of this study was to investigate management and animal level risk factors that favour occurrence of bovine mastitis. The identification of risk factors is important for the design of mastitis control programs in dairy herds. The present study was conducted at the Large Animal Clinic of Madras Veterinary College (MVC) Hospital, Chennai. Out of two hundred and eighty milch animals examined during the study period, sixty cows were affected by mastitis. Binary logistic regression analysis was employed to estimate the probability of a particular milch animal to pick up mastitis and to model the relationship of incidence of mastitis with other explanatory variables. Results obtained revealed that increase in unit change of milk yield (one litre) would increased the incidence of mastitis by 1.658 times. The chance of getting infected by mastitis would be reduced by 2.5 times when the mastitis affected cows were milked last. Incidence of mastitis in non-hygienic farms were 11.675 times more when compared to farms maintained in hygienic manner. Overall, binary logistic model was 84.6 percent accurate in predicting the occurrence and non-occurrence of mastitis. Incidence of mastitis, having been associated with a variety of factors inherent in animals and factors resulting from improper farming practices, appeared to decrease when the management practices are proper and scientific. Well knit extension program is the need of the hour to effectively communicate the farming group about the importance of mastitis control strategies in dairy farming.
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