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Development of Lifetime Milk Yield Equation Using Artificial Neural Network in Holstein Friesian Cross Breddairy Cattle and Comparison with Multiple Linear Regression Model


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1 Symbiosis Institute of Geo-Informatics, Symbiosis International University, Pune 411 016, India
 

The scope of this study was to develop lifetime milk yield (LTMY) prediction equation using different economical traits. The traits used were first lactation length, first peak yield, first lactation total milk yield,and total of three lactation milk yield of 1210 Holstein Friesian crossbred dairy cattle in India. Four variants of feed-forward back propagation algorithms were compared with the multiple linear regression model.The performance of Bayesian regularization (BR) algorithm was found to be better than the other algorithms for LTMY prediction. The BR neural network model was able to predict milk yield with 71.18% R2.

Keywords

Artificial Neural Network, Cows, Lifetime Milk Yield, Multiple Linear Regression.
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  • Development of Lifetime Milk Yield Equation Using Artificial Neural Network in Holstein Friesian Cross Breddairy Cattle and Comparison with Multiple Linear Regression Model

Abstract Views: 379  |  PDF Views: 114

Authors

Manisha Dinesh Bhosale
Symbiosis Institute of Geo-Informatics, Symbiosis International University, Pune 411 016, India
T. P. Singh
Symbiosis Institute of Geo-Informatics, Symbiosis International University, Pune 411 016, India

Abstract


The scope of this study was to develop lifetime milk yield (LTMY) prediction equation using different economical traits. The traits used were first lactation length, first peak yield, first lactation total milk yield,and total of three lactation milk yield of 1210 Holstein Friesian crossbred dairy cattle in India. Four variants of feed-forward back propagation algorithms were compared with the multiple linear regression model.The performance of Bayesian regularization (BR) algorithm was found to be better than the other algorithms for LTMY prediction. The BR neural network model was able to predict milk yield with 71.18% R2.

Keywords


Artificial Neural Network, Cows, Lifetime Milk Yield, Multiple Linear Regression.

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DOI: https://doi.org/10.18520/cs%2Fv113%2Fi05%2F951-955