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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Detalhes bibliográficos
Publicado no:Front Vet Sci
Main Authors: Sikka, Poonam, Nath, Abhigyan, Paul, Shyam Sundar, Andonissamy, Jerome, Mishra, Dwijesh Chandra, Rao, Atmakuri Ramakrishna, Balhara, Ashok Kumar, Chaturvedi, Krishna Kumar, Yadav, Keerti Kumar, Balhara, Sunesh
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2020
Assuntos:
Veterinary Science
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7492607/
https://ncbi.nlm.nih.gov/pubmed/32984408
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fvets.2020.00518
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