Neural Network and Regression Based Model for Cows’ Milk Yield Prediction in Different Climatic Gradients

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Bosede Oyegbile
Oludayo Michael Akinsola
Okeke Rufina Obioma
Adekola Omololu Atanda
Balami Samuel Paul
Mary Foluke Oladipo
Zulfat Suleiman Abba

Abstract

The present study was designed to develop the prediction equations for 305 days fat corrected milk yield on the basis of part periods milk yield, milk component and conformation traits of multi-genotype cows. Artificial Neural Network model had the best prediction accuracy across varying environments, though Genetic Function Algorithm had the overall best adequacy for fat corrected milk yield predictions (FCM305d=1036.1-98.3RP+22FY+15.92UC-0.07RUH; Adj R2=0.997; RMSE=30.07; BIC=1997.28).

Keywords:
Prediction, artificial neural network, genetic function algorithm, multi-genotype cows

Article Details

How to Cite
Oyegbile, B., Akinsola, O., Obioma, O., Atanda, A., Paul, B., Oladipo, M., & Abba, Z. (2018). Neural Network and Regression Based Model for Cows’ Milk Yield Prediction in Different Climatic Gradients. Annual Research & Review in Biology, 28(2), 1-9. https://doi.org/10.9734/ARRB/2018/41947
Section
Original Research Article