Inferring Relationship of Blood Metabolic Changes and Average Daily Gain With Feed Conversion Efficiency in Murrah Heifers: Machine Learning Approach

Inferring Relationship of Blood Metabolic Changes and Average Daily Gain With Feed Conversion Efficiency in Murrah Heifers: Machine Learning Approach

Machine learning algorithms were employed for predicting the feed conversion efficiency (FCE), using the blood parameters and average daily gain (ADG) as predictor variables in buffalo heifers. It was observed that isotonic regression outperformed other machine learning algorithms used in study. Fur...

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Bibliographic Details
Main Authors: Poonam Sikka, Abhigyan Nath, Shyam Sundar Paul, Jerome Andonissamy, Dwijesh Chandra Mishra, Atmakuri Ramakrishna Rao, Ashok Kumar Balhara, Krishna Kumar Chaturvedi, Keerti Kumar Yadav, Sunesh Balhara
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-09-01
Series:Frontiers in Veterinary Science
Subjects:
buffalo
blood
feed conversion efficiency
partial least square regression
prediction models
Online Access:https://www.frontiersin.org/article/10.3389/fvets.2020.00518/full

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