Logistic Regression Model for the Probability Parameters Estimation of Milk Fever in Dairy Animals in Tamil Nadu, India
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Date
2020-05
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Abstract
Milk fever is occurring in dairy animals during parturient period and
management is economically most important, as it results in not only
reduction in milk production but also loss of animals In the present study,
logistic regression model was employed to estimate the probability of a
particular dairy animal affected with milk fever or not. Namakkal and
Karur districts of Tamil Nadu were purposively selected for the present
study, a total of 83 (64 cow and 19 buffalo) milk fever affected dairy
animals were selected through purposive sampling technique from these
districts. The log odds of the animal going to be affected by milk fever
enhanced by 18.695 and 3.226 times, when breed and parity changed from
0 to 1 (in ceteris paribus). Similarly, when other indicator variables viz.,
post partum disorders (metritis and retained foetal membrane), summer
season and non supplementation of mineral mixture influenced the log odds
of the milch animal for being affected by the milk fever were to the tune of
17.908, 2.866 and 74.772, respectively.
Description
TNV_IJCMAS_2020_9(5)1895-1900