Serum metabolic fingerprinting of pre-lameness dairy cows by GC–MS reveals typical profiles that can identify susceptible cows-Reference-Cited by-同舟云学术

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Serum metabolic fingerprinting of pre-lameness dairy cows by GC–MS reveals typical profiles that can identify susceptible cows

Published:2020-02 Issue: Volume:213 Page:103620
ISSN:1874-3919
Container-title:Journal of Proteomics
language:en
Short-container-title:Journal of Proteomics

Author:

Dervishi Elda,Zhang Guanshi^ORCID,Zwierzchowski Grzegorz^ORCID,Mandal Rupasri,Wishart David S.,Ametaj Burim N.

Funder

Genome Alberta

ALMA

Publisher

Elsevier BV

Subject

Biochemistry,Biophysics

Reference53 articles.

1. Prevalence of lameness and associated risk factors in Canadian Holstein-Friesian cows housed in freestall barns;Solano;J. Dairy Sci.,2015

2. The cost of different types of lameness in dairy cows calculated by dynamic programming;Cha;Prev. Vet. Med.,2010

3. Prevalence of lameness among dairy cattle in Wisconsin as a function of housing type and stall surface;Cook;J. Am.Vet. Med. Assoc.,2003

4. Prevalence of lameness in high-producing Holstein cows housed in freestall barns in Minnesota;Espejo;J. Dairy Sci.,2006

5. Benchmarking cow comfort on north American freestall dairies: lameness, leg injuries, lying time, facility design, and management for high-producing Holstein dairy cows;von Keyserlingk;J. Dairy Sci.,2012

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2. Associations between lameness and the metabolic and hormonal profiles in dairy cows;Italian Journal of Animal Science;2024-08-09

3. Identification of Predictive Biomarkers of Lameness in Transition Dairy Cows;Animals;2024-07-10

4. Critical Review of Selected Analytical Platforms for GC-MS Metabolomics Profiling—Case Study: HS-SPME/GC-MS Analysis of Blackberry’s Aroma;Foods;2024-04-17

5. Predicting lameness in dairy cattle using untargeted liquid chromatography–mass spectrometry-based metabolomics and machine learning;Journal of Dairy Science;2023-10

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