PREDICTION  OF  FIRST  LACTATION  MILK  IN  SAHIWAL  CATTLE  USING  STATISTICAL  MODELS

V. B. Dongre; R. S. Gandhi

doi:10.56093/ijvasr.v9i3.155233

Authors

V. B. Dongre Assistant Professor, Department of Animal Genetics & Breeding, College of Veterinary Science and Animal Husbandry, Junagadh Agricultural University, Junagadh- 362 001
R. S. Gandhi Principal Scientist and Head, Dairy Cattle Breeding Division, NDRI, Karnal

https://doi.org/10.56093/ijvasr.v9i3.155233

Keywords:

Lactation curve, Sahiwal cattle, Weekly test day milk yield

Abstract

A study was carried out on 25499 weekly test day milk yields records of first lactation pertaining to 593 Sahiwal cows spread over 49 years located at National Dairy Research Institute, Karnal. The relative efficiency of three lactation curve models via: exponential decline function, parabolic exponential function and inverse polynomial function were compared. Inverse polynomial function described the highest coefficient of determination (99.8%) and with least value (0.055 kg) of root mean square error (RMSE); whereas, the least coefficient of determination (67.7%) was observed in exponential decline function having maximum (0.102 kg) RMSE. On an average, the peak yield from all lactation curves functions was found to be 7.9 kg in 8th week of lactation. The predicted first lactation
305 day milk yields by exponential decline function, parabolic exponential function and inverse polynomial function were 1983.8 ± 32.7, 1986.6 ± 35.4 and 1976.0 ± 24.9 kg, respectively.

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