An artificial intelligence approach of feature engineering and ensemble methods depicts the rumen microbiome contribution to feed efficiency in dairy cows

An artificial intelligence approach of feature engineering and ensemble methods depicts the rumen microbiome contribution to feed efficiency in dairy cows

Abstract Genetic selection has remarkably helped U.S. dairy farms to decrease their carbon footprint by more than doubling milk production per cow over time. Despite the environmental and economic benefits of improved feed and milk production efficiency, there is a critical need to explore phenotypi...

Full description

Bibliographic Details
Main Authors: Hugo F. Monteiro, Caio C. Figueiredo, Bruna Mion, José Eduardo P. Santos, Rafael S. Bisinotto, Francisco Peñagaricano, Eduardo S. Ribeiro, Mariana N. Marinho, Roney Zimpel, Ana Carolina da Silva, Adeoye Oyebade, Richard R. Lobo, Wilson M. Coelho Jr, Phillip M. G. Peixoto, Maria B. Ugarte Marin, Sebastian G. Umaña-Sedó, Tomás D. G. Rojas, Modesto Elvir-Hernandez, Flávio S. Schenkel, Bart C. Weimer, C. Titus Brown, Ermias Kebreab, Fábio S. Lima
Format: Article
Language:English
Published: BMC 2024-02-01
Series:Animal Microbiome
Online Access:https://doi.org/10.1186/s42523-024-00289-5

Internet

https://doi.org/10.1186/s42523-024-00289-5

Similar Items