Lactation Curves of Mastitic Vrindavani Cattle: A Statistical Approach


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Authors

  • Shashank Kshandakar ICAR-Indian Veterinary Research Institute, Izatnagar
  • Med Ram Verma ICAR-Indian Agricultural Statistics Research Institute, New Delhi
  • Yash Pal Singh ICAR-Indian Veterinary Research Institute, Izatnagar
  • Sanjay Kumar ICAR-Indian Veterinary Research Institute, Izatnagar

https://doi.org/10.56093/jisas.v78i01.171330

Keywords:

Goodness of fit; Lactation curve; Mastitis; Vrindavani cattle.

Abstract

 Mastitis is one of the important animal disease which causes huge economic loss. The present study was aimed to find the best lactation curve model that describes the milk production pattern of Vrindavani cattle suffered from mastitis. In the study, test day milk yield data of 161 mastitic Vrindavani cattle (incidence of the disease occurring within the three months of parturition) was collected from Cattle and Buffalo Farm, LPM section, ICAR-IVRI over 5 years (2009-2014). Eight lactation curve models [Inverse quadratic polynomial model (ND), Incomplete Gamma function (WD), Linear decline model (CL), Wilmink model (WL) Mixed log model (ML), Mitscherlich x Exponential (ME), Morant and Gnanasakthy model (MG) and Ali & Schaeffer lactation curve model (AS)] were fitted. The best model was selected based on different goodness of fit criteria and the Durbin Watson test was used to examine the presence of autocorrelation present in the data set. Kolmogorov-Smirnova test and Shapiro-Wilk were used to test the normality of the residuals. Based on the various goodness of fit test it was observed that the Mixed Log (ML) model was the best fitted model to describe the lactation pattern of mastitic Vrindavani cattle. 

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Submitted

2025-09-02

Published

2025-09-02

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Shashank Kshandakar, Med Ram Verma, Yash Pal Singh, & Sanjay Kumar. (2025). Lactation Curves of Mastitic Vrindavani Cattle: A Statistical Approach. Journal of the Indian Society of Agricultural Statistics, 78(01), 1-7. https://doi.org/10.56093/jisas.v78i01.171330
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