Screening of animals for subclinical mastitis: A discriminate function analysis Jadhav P.V.1,*, Tarate S.B.1, Das D.N.2, Suresh K.P.3 South Regional Station of National Dairy Research Institute, Adgudi, Bangalore-560 030, Karnataka, India 1Veterinary Scientist, IISER, Pune, Karnataka, Maharashtra, India 2Genetics Dept, SRS of NDRI, Bangalore-30, Karnataka, India 3PD, ADMAS, Bangalore-24, Karnataka, India *Corresponding author's e-mail & address: drprajaktavet@gmail.com, COVAS, Udgir, MAFSU
Abstract 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. Top Keywords Discriminate function, Holstein Frisian, Subclinical mastitis, SCC. Top |