Screening of animals for subclinical mastitis: A  discriminate function analysis

DOI: 10.18805/ijar.B-3559    | Article Id: B-3559 | Page : 672-674
Citation :- Screening of animals for subclinical mastitis: A discriminate function analysis.Indian Journal Of Animal Research.2019.(53):672-674
P.V. Jadhav, S.B. Tarate, D.N. Das and K.P. Suresh
Address : South Regional Station of National Dairy Research Institute, Adgudi, Bangalore-560 030, Karnataka, India.
Submitted Date : 6-01-2018
Accepted Date : 9-03-2018


The study was aimed to construct a discriminate model to differentiate health status of the udder in dairy lactating Holstein cows. Though SCC is a single most reliable indicator of mastitis, a fine demarcation line to differentiate the healthy and subclinical animals based on SCC, rarely exist. The model included contributory factors such as log_SCC, stage of lactation, rainy season, stall hygiene score, udder hygiene score and milking method constructed and was found to demonstrate 89.2 per cent accuracy with p< 0.001 and the Holstein functions at group centroids are -0.982 and 1.209 respectively for normal and mastitis infected animals. The model will facilitate 92.3 per cent of the cases to correctly classify for non-mastitis normal animals and 85.3 per cent to predict correctly as mastitis.


Discriminate function Holstein Frisian Subclinical mastitis SCC.


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