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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Veterinary Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7492607/
https://www.ncbi.nlm.nih.gov/pubmed/32984408
http://dx.doi.org/10.3389/fvets.2020.00518

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7492607/
https://www.ncbi.nlm.nih.gov/pubmed/32984408
http://dx.doi.org/10.3389/fvets.2020.00518

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