REGRESSION COEFFICIENTS OF LOGISTIC MODELS FITTED TO ANALYSE THE POST PARTUM DISORDERS INFLUENCING PREVALENCE OF METABOLIC DISEASES IN DAIRY ANIMALS
Loading...
Date
2019-12
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
The prevalence of bovine metabolic diseases such as ketosis, milk fever and downer cow syndrome were
studied in 180 sample dairy farm households in Namakkal and Karur districts of Tamil Nadu. The probability
of picking up of metabolic diseases in post partum disorder animals was assessed by using logistic regression
analysis. For interpretation, the coefficient for the variable post partum disorder of dairy animal was found
as per Wald statistics and whether this variable is significant or non significant. The outcome of the logistic
regression model for ketosis is 53.149 and significant; it implies that the one unit change in the factor post
partum disorders (metritis and retained foetal membrane) would make the event 53.149 times as likely to
occur. Similarly, the post partum disorder factor influenced the log odds of the milch animal for being affected
by the milk fever were to the tune of 17.908. In downer cow syndrome, the post partum disorder variables
were found to be non significant. From this study it concluded that the post partum disorders variable to
influence the risk of ketosis and milk fever in dairy animals.
Description
TNV_35thVCRI_CA_Dec-2019_PPPO-17
Keywords
Veterinary Science