Milk metabolomics analyses of lactating dairy cows with divergent residual feed intake reveals physiological underpinnings and novel biomarkers.
biomarker
dairy cows
feed efficiency
milk metabolome
physiology
Journal
Frontiers in molecular biosciences
ISSN: 2296-889X
Titre abrégé: Front Mol Biosci
Pays: Switzerland
ID NLM: 101653173
Informations de publication
Date de publication:
2023
2023
Historique:
received:
16
01
2023
accepted:
20
03
2023
medline:
24
4
2023
pubmed:
24
4
2023
entrez:
24
04
2023
Statut:
epublish
Résumé
The opportunity to select for feed efficient cows has been limited by inability to cost-effectively record individual feed efficiency on an appropriate scale. This study investigated the differences in milk metabolite profiles between high- and low residual feed intake (RFI) categories and identified biomarkers of residual feed intake and models that can be used to predict residual feed intake in lactating Holsteins. Milk metabolomics analyses were undertaken at early, mid and late lactation stages and residual feed intake was calculated in 72 lactating dairy cows. Cows were ranked and grouped into high residual feed intake (RFI >0.5 SD above the mean,
Identifiants
pubmed: 37091872
doi: 10.3389/fmolb.2023.1146069
pii: 1146069
pmc: PMC10113888
doi:
Types de publication
Journal Article
Langues
eng
Pagination
1146069Informations de copyright
Copyright © 2023 Hailemariam, Hashemiranjbar, Manafiazar, Stothard and Plastow.
Déclaration de conflit d'intérêts
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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