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

Bosede Oyegbile | Zendy; Oludayo Michael Akinsola | Zendy; Okeke Rufina Obioma | Zendy; Omololu Atanda | Zendy; Balami Paul | Zendy; Mayowa Segun Oladipo | Zendy; Zulfat Suleiman Abba | Zendy

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

Author(s) -

Bosede Oyegbile,

Oludayo Michael Akinsola,

Okeke Rufina Obioma,

Omololu Atanda,

Balami Paul,

Mayowa Segun Oladipo,

Zulfat Suleiman Abba

Publication year - 2018

Publication title -

annual research and review in biology

Language(s) - English

Resource type - Journals

ISSN - 2347-565X

DOI - 10.9734/arrb/2018/41947

Subject(s) - yield (engineering) , regression , artificial neural network , regression analysis , statistics , econometrics , mathematics , computer science , machine learning , materials science , metallurgy

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 multigenotype 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 R=0.997; RMSE=30.07; BIC=1997.28).

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