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

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Title Comparison of different lactation curve models in Karan Fries cattle of India
Not Available
 
Creator Rashia Banu
Avtar Singh
R Malhotra
G Gowane
V Kumar
Seema Jaggi
E Verghese
R S Gandhi
A K Chakravarty
T V Raja
 
Subject Karan Fries
Lactation curve models
Milk yield
Monthly test day
Weekly test day milk yield
 
Description Not Available
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.
Not Available
 
Date 2018-11-30T06:49:59Z
2018-11-30T06:49:59Z
2012-11-01
 
Type Research Paper
 
Identifier Not Available
Not Available
http://krishi.icar.gov.in/jspui/handle/123456789/14424
 
Language English
 
Relation Not Available;
 
Publisher Not Available