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Indian Journal of Animal Research
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Research Article
volume 53 issue 5 (may 2019) : 672-674, Doi: 10.18805/ijar.B-3559
Screening of animals for subclinical mastitis: A discriminate function analysis
1South Regional Station of National Dairy Research Institute, Adgudi, Bangalore-560 030, Karnataka, India.
Submitted06-01-2018|
Accepted09-03-2018|
First Online 04-08-2018|
Cite article:- Jadhav P.V., Tarate S.B., Das D.N., Suresh K.P. (2018). Screening of animals for subclinical mastitis: A discriminate function analysis. Indian Journal of Animal Research. 53(5): 672-674. doi: 10.18805/ijar.B-3559.
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.
REFERENCES
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Copyright :
This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Published In
Indian Journal of Animal Research