Milk lipidome alterations in first-lactation dairy cows with lameness: A biomarker identification approach using untargeted lipidomics and machine learning
ABSTRACT: Lameness, defined as an impaired gait, impacts cow welfare and performance, compromising future health and production, and increasing culling risk. Untargeted milk lipidomics, together with the use of machine learning methods, have shown promise in identifying potential biomarkers for the...
Saved in:
| Main Authors: | Ana S. Cardoso, Sandra Martínez-Jarquín, Robert M. Hyde, Martin J. Green, Dong-Hyun Kim, Laura V. Randall |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
|
| Series: | Journal of Dairy Science |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0022030225002449 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Variations in the milk lipidomic profile of lactating dairy cows fed the diets containing alfalfa hay versus alfalfa silage
by: Kaizhen Liu, et al.
Published: (2024-12-01) -
Effects of Lameness on Milk Yield, Milk Quality Indicators, and Rumination Behaviour in Dairy Cows
by: Karina Džermeikaitė, et al.
Published: (2025-01-01) -
Evaluation of ‘In-Parlour Scoring’ (IPS) to Detect Lameness in Dairy Cows during Milking
by: Jasmin Laschinger, et al.
Published: (2024-10-01) -
Association of Lameness Prevalence and Severity in Early-Lactation Cows with Milk Traits, Metabolic Profile, and Dry Period
by: Vigilijus Jukna, et al.
Published: (2024-11-01) -
Intelligent Deep Learning and Keypoint Tracking-Based Detection of Lameness in Dairy Cows
by: Zongwei Jia, et al.
Published: (2025-03-01)