Logistic Regression Model for the Probability Parameters Estimation of Milk Fever in Dairy Animals in Tamil Nadu, India

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dc.contributor.authorSenthilkumar, V
dc.contributor.authorTANUVAS
dc.date.accessioned2020-05-28T05:46:02Z
dc.date.available2020-05-28T05:46:02Z
dc.date.issued2020-05
dc.descriptionTNV_IJCMAS_2020_9(5)1895-1900en_US
dc.description.abstractMilk 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.en_US
dc.identifier.urihttp://krishikosh.egranth.ac.in/handle/1/5810146599
dc.keywordsMilk fever, Logistic regression, Metabolic diseases and Probabilityen_US
dc.language.isoenen_US
dc.pages1895-1900en_US
dc.relation.ispartofseries;5
dc.titleLogistic Regression Model for the Probability Parameters Estimation of Milk Fever in Dairy Animals in Tamil Nadu, Indiaen_US
dc.title.alternativeInternational Journal of Current Microbiology and Applied Sciencesen_US
dc.typeArticleen_US
dc.volume9en_US
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