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

dc.contributor.authorBosede Oyegbile
dc.contributor.authorOludayo Michael Akinsola
dc.contributor.authorOkeke Rufina Obioma
dc.contributor.authorAdekola Omololu Atanda
dc.contributor.authorBalami Samuel Paul
dc.contributor.authorMary Foluke Oladipo
dc.contributor.authorZulfat Suleiman Abba
dc.date.accessioned2026-03-11T12:41:15Z
dc.date.issued2018-08-17
dc.description.abstractThe 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).
dc.identifier.issnISSN: 2347-565X
dc.identifier.urihttps://irepos.unijos.edu.ng/handle/123456789/11400
dc.language.isoen
dc.relation.ispartofseriesVol. 28(2): 1-9, 2018; ; o.ARRB.41947
dc.titleNeural Network and Regression Based Model for Cows’ Milk Yield Prediction in Different Climatic Gradients
dc.typeArticle

Files

Original bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Anikwe.pdf
Size:
417.02 KB
Format:
Adobe Portable Document Format

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
6.29 KB
Format:
Item-specific license agreed to upon submission
Description: