Comparison of different lactation curve models in Karan Fries cattle of India

RASHIA BANU; AVTAR SINGH; R MALHOTRA; G GOWANE; V KUMAR; SEEMA JAGGI; E VERGHESE; R S GANDHI; A K CHAKRAVARTY; T V RAJA

doi:10.56093/ijans.v82i11.25158

Authors

RASHIA BANU National Dairy Research Institute, Karnal 132001 Haryana, India
AVTAR SINGH National Dairy Research Institute, Karnal 132001 Haryana, India
R MALHOTRA National Dairy Research Institute, Karnal 132001 Haryana, India
G GOWANE National Dairy Research Institute, Karnal 132001 Haryana, India
V KUMAR National Dairy Research Institute, Karnal 132001 Haryana, India
SEEMA JAGGI National Dairy Research Institute, Karnal 132001 Haryana, India
E VERGHESE National Dairy Research Institute, Karnal 132001 Haryana, India
R S GANDHI National Dairy Research Institute, Karnal 132001 Haryana, India
A K CHAKRAVARTY National Dairy Research Institute, Karnal 132001 Haryana, India
T V RAJA National Dairy Research Institute, Karnal 132001 Haryana, India

https://doi.org/10.56093/ijans.v82i11.25158

Keywords:

Karan Fries, Lactation curve models, Milk yield, Monthly test day, Weekly test day milk yield

Abstract

The first lactation weekly test day milk yield (WTDMY) records (57233) and monthly test day milk yield (MTDMY) records (11970) spread over a period of 23 years (1984– 2006) sired by 82 bulls of Karan Fries cattle were used to develop the best lactation curve model. The lactation curve parameters of Quadratic cum log model (QCLM), Gamma function (GF), Cobby Le Du model (CLDM), Polynomial regression function (PRF) and Multiphasic logistic function (MLF) were estimated. The average weekly test day milk yield was predicted with high degree of accuracy (R2 > 85%) by all the models with the maximum accuracy (R2 = 99.50%) obtained by polynomial regression function (PRF) and the least fit (R2 = 87.90%) was obtained by Gamma function (GF). However Quadratic cum log model (R2 = 99.20%) was almost equal to polynomial regression function and was better than Cobby Le Du model (R2 = 92.80%). The average root mean square error (RMSE) was found to be minimum with PRF (0.0121 Kg) followed by MLF (Triphasic). Thus the best fit model was polynomial regression function, which was better than other functions for prediction of first lactation WTDMY. The average monthly test day milk yield was predicted with high degree of accuracy (R2 > 75%) by all the models with the maximum accuracy (R2 > 99.41%) obtained by polynomial regression function (PRF) and the least fit was obtained with gamma function (R2 = 79.05%). However, quadratic-cum-log model (R2 = 99.28%) was almost equal to polynomial regression function and was better than CLDM (R2 = 89.50%). The average root mean square error (RMSE) was found to be minimum with PRF (0.0061 kg) followed by QCLM (0.0620). Thus the best fit model was polynomial regression function for prediction of both weekly and monthly test day milk yield of first lactation in Karan Fries cows.

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Author Biographies

RASHIA BANU, National Dairy Research Institute, Karnal 132001 Haryana, India
AVTAR SINGH, National Dairy Research Institute, Karnal 132001 Haryana, India
R MALHOTRA, National Dairy Research Institute, Karnal 132001 Haryana, India
G GOWANE, National Dairy Research Institute, Karnal 132001 Haryana, India
V KUMAR, National Dairy Research Institute, Karnal 132001 Haryana, India
SEEMA JAGGI, National Dairy Research Institute, Karnal 132001 Haryana, India
E VERGHESE, National Dairy Research Institute, Karnal 132001 Haryana, India
R S GANDHI, National Dairy Research Institute, Karnal 132001 Haryana, India
A K CHAKRAVARTY, National Dairy Research Institute, Karnal 132001 Haryana, India
T V RAJA, National Dairy Research Institute, Karnal 132001 Haryana, India

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