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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/2641

Title: Neural Network and Regression Based Model for Cows’ Milk Yield Prediction in Different Climatic Gradients
Authors: Oyegbile, Bosede
Akinsola, Oludayo Michael
Obioma, Okeke Rufina
Atanda, Adekola Omololu
Paul, Balami Samuel
Oladipo, Mary Foluke
Abba, Zulfat Suleiman
Keywords: Genetic function algorithm
Multi-genotype cows
artificial neural network
Issue Date: 17-Aug-2018
Publisher: Annual Research & Review in Biology
Series/Report no.: Vol. 28,;Iss. 2; Pp 1-9
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 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 R²=0.997; RMSE=30.07; BIC=1997.28).
URI: http://hdl.handle.net/123456789/2641
ISSN: 2347-565X
Appears in Collections:Veterinary Theriogenology and Production
Veterinary Theriogenology and Production

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