Metabolic alterations in dairy cattle with lameness revealed by untargeted metabolomics of dried milk spots using direct infusion-tandem mass spectrometry and the triangulation of multiple machine learning models

He, Wenshi; Cardoso, A.S.; Hyde, Robert; Green, Martin J.; Scurr, David J.; Griffiths, Rhonda; Randall, L.V.; Kim, Dong-Hyun

doi:10.1039/d2an01520j

Cited by 8 publications

(1 citation statement)

References 59 publications

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“…To date, several technologies have been tested to identify feet with compromised foot health, e.g. infrared thermography for digital dermatitis, lesions other than digital dermatitis, and lameness (Alsaaod and Büscher, 2012;Main et al, 2012;Stokes et al, 2012b;Alsaaod et al, 2014;Wood et al, 2015;Werema et al, 2021); computer vision and machine learning for digital dermatitis and lameness (Cernek et al, 2020;Anagnostopoulos et al, 2021b); and metabolomics and kinetic and kinematic methods for lameness (Alsaaod et al, 2017;Weiss et al, 2017;Oehme et al, 2019;O'Leary et al, 2020;Tijssen, 2021;He et al, 2022). However, each technology comes with limitations and the optimal technology for early detection of feet with compromised foot health is still to be established.…”

Section: Detection Of Feet With Digital Dermatitismentioning

confidence: 99%

Diagnosis, treatment, and control of bovine digital dermatitis in dairy cattle

Vanhoudt¹

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This thesis focuses on the detection, prompt effective treatment, and control of digital dermatitis (DD) on dairy herds. In Chapter 2, an overview of the status quo on management of DD on dairy herds is given. In Chapter 3 we demonstrated that experienced scorers are well able to differentiate between photographs of feet affected by DD and photographs feet unaffected by DD. On the other hand, they were less able to identify specific lesion stages, including the M2 and M4 stage which are considered important stages regarding clinical impact and infection reservoir, respectively. In Chapter 4 we concluded that infrared thermography (IRT) is unlikely to be suited for automated identification of feet affected by DD due to the poor associations between maximum temperature of the plantar pastern region and the presence of M2 lesions or DD lesions in general. In Chapter 5 we demonstrated that topical treatment of active, often painful, DD lesions with a copper and zinc chelates gel (coppergel) and bandage outperformed an enzyme alginogel and bandage in M-score improvement, with the majority of lesions transitioning to the chronic, often not painful, state. In contrast, treatment with the alginogel achieved improved wound healing progress compared with the coppergel. However, neither the coppergel nor the alginogel achieved high cure rates to healthy skin. In Chapter 6 we illustrated that a standalone identification of risk factors for DD together with associated advice to control these risk factors is insufficient to decrease the prevalence of DD in dairy herds. Chapter 7 concludes this thesis with a general discussion providing a reflection on insights gained and suggestions for future research on the diagnosis, treatment, and control of digital dermatitis in dairy herds.

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Section: Detection Of Feet With Digital Dermatitismentioning

confidence: 99%

Diagnosis, treatment, and control of bovine digital dermatitis in dairy cattle

Vanhoudt¹

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Positive welfare in dairy cows: role of the vet

Russell,

Randall,

Green

et al. 2024

In Practice

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Background: The livestock industry should ensure positive welfare for animals within its care, over and above the five freedoms. It is important that the general public approves of conditions that livestock inhabit for them to continue to purchase these products and feel positive in doing so. As custodians of animal health and welfare, veterinary clinicians must be equipped to advocate for improvements to welfare, as well as conventional herd health and individual case approaches. The environment an animal inhabits will impact its heath and production, but improvements to living conditions will also support positive welfare. Assessment of the environment is an essential step to identify areas to improve in the system; this will allow for subsequent advances in overall living conditions.Aim of the article: This article provides an overview of positive welfare and assessment in dairy cows and guides production animal vets on how to undertake evaluations on farm. It also informs practitioners on developments in the research of positive welfare in dairy cows and discusses how positive welfare opportunities can be provided on farms.

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Intelligent recognition of English characters based on point cloud data model and artificial intelligence recognition

2023

Soft Comput

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Metabolic alterations in dairy cattle with lameness revealed by untargeted metabolomics of dried milk spots using direct infusion-tandem mass spectrometry and the triangulation of multiple machine learning models

Abstract: Lameness is a major challenge in the dairy cattle industry in terms of animal welfare and economic implications. Better understanding of metabolic alteration associated with lameness could lead to early...

Cited by 8 publications

References 59 publications

Diagnosis, treatment, and control of bovine digital dermatitis in dairy cattle

Diagnosis, treatment, and control of bovine digital dermatitis in dairy cattle

Positive welfare in dairy cows: role of the vet

Intelligent recognition of English characters based on point cloud data model and artificial intelligence recognition

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