A machine learning approach to predict the most and the least feed–efficient groups in beef cattle

A machine learning approach to predict the most and the least feed–efficient groups in beef cattle

The present study evaluated three strategies to find the optimum subset of DNA markers from the 50 K Illumina Bovine panel to classify beef cattle into the most and the least feed-efficient groups without using individual feed intake and performance measures. Residual feed intake (RFI) and 50 K sing...

Full description

Bibliographic Details
Main Authors: Alimohammad Shirzadifar, Younes Miar, Graham Plastow, John Basarab, JA, Changxi Li, Carolyn Fitzsimmons, Mohammad Riazi, Ghader Manafiazar
Format: Article
Language:English
Published: Elsevier 2023-10-01
Series:Smart Agricultural Technology
Subjects:
Beef cattle
Feed efficiency
Genomics
Machine learning
Residual feed intake
Online Access:http://www.sciencedirect.com/science/article/pii/S2772375523001466

Internet

http://www.sciencedirect.com/science/article/pii/S2772375523001466

Similar Items