Artificial Neural Network versus Multiple Regression Analysis for Prediction of Lifetime Milk Production in Sahiwal Cattle

Abstract

Gandhi, R.S., Raja, T.V., Ruhil, A.P. and Kumar, A. 2010. Artificial neural network versus multiple regression analysis for prediction of lifetime milk production in Sahiwal cattle. J. Appl. Anim. Res., 38: 233-237. First lactation records (1493) of Sahiwal cows comprising of age at first calving, first lactation 305-d or less milk yield, first lactation length, first service period and first dry period were analyzed to predict the lifetime milk production using multiple regression analysis (MRAJ and artificial neural network (ANN). The data was divided into three sets i.e. cows retained in the herd up to first three parities (set

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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

“…Hence it has potential as an alternative to the MLR model in different breeds 17,[22][23][24] . Gandhi et al 17,18 have developed the optimum equation incorporating three variables, namely age at first calving (AFC), FL305DMY and first lactation length (FLL). They found the ANN was more accurate than MLR for prediction of LTMY on the basis of early lactation traits in Sahiwal cattle.…”

“…[4][5][6]8,[16][17][18][19] . Some studies showed that prediction of milk yield by using ANN model was more accurate than Wood's model 16,20 as well as by the MLR method [17][18][19]21 . Hence it has potential as an alternative to the MLR model in different breeds 17,[22][23][24] .…”

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