Milk Metabolomics Data Reveal the Energy Balance of Individual Dairy Cows in Early Lactation

Abstract In early lactation, dairy cows typically have a negative energy balance which has been related to metabolic disorders, compromised health and fertility, and reduced productive lifespan. Assessment of the energy balance, however, is not easy on the farm. Our aims were to investigate the milk...

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Autores principales:	Wei Xu, Jacques Vervoort, Edoardo Saccenti, Renny van Hoeij, Bas Kemp, Ariette van Knegsel
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Early Lactation Individual Dairy Cows Milk Metabolites Milk Production Traits Lactation Week Medicine R Science Q
Acceso en línea:	https://doaj.org/article/ecb356147a64412bbeee55f74d78a384
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spelling	oai:doaj.org-article:ecb356147a64412bbeee55f74d78a3842021-12-02T15:09:03ZMilk Metabolomics Data Reveal the Energy Balance of Individual Dairy Cows in Early Lactation10.1038/s41598-018-34190-42045-2322https://doaj.org/article/ecb356147a64412bbeee55f74d78a3842018-10-01T00:00:00Zhttps://doi.org/10.1038/s41598-018-34190-4https://doaj.org/toc/2045-2322Abstract In early lactation, dairy cows typically have a negative energy balance which has been related to metabolic disorders, compromised health and fertility, and reduced productive lifespan. Assessment of the energy balance, however, is not easy on the farm. Our aims were to investigate the milk metabolic profiles of dairy cows in early lactation, and to obtain models to estimate energy balance from milk metabolomics data and milk production traits. Milk samples were collected in week 2 and 7 after calving from 31 dairy cows. For each cow, the energy balance was calculated from energy intake, milk production traits and body weight. A total of 52 milk metabolites were detected using LC-QQQ-MS. Data from different lactation weeks was analysed by partial least squares analysis, the top 15 most relevant variables from the metabolomics data related to energy balance were used to develop reduced linear models to estimate energy balance by forward selection regression. Milk fat yield, glycine, choline and carnitine were important variables to estimate energy balance (adjusted R 2: 0.53 to 0.87, depending on the model). The relationship of these milk metabolites with energy balance is proposed to be related to their roles in cell renewal.Wei XuJacques VervoortEdoardo SaccentiRenny van HoeijBas KempAriette van KnegselNature PortfolioarticleEarly LactationIndividual Dairy CowsMilk MetabolitesMilk Production TraitsLactation WeekMedicineRScienceQENScientific Reports, Vol 8, Iss 1, Pp 1-11 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Early Lactation Individual Dairy Cows Milk Metabolites Milk Production Traits Lactation Week Medicine R Science Q
spellingShingle	Early Lactation Individual Dairy Cows Milk Metabolites Milk Production Traits Lactation Week Medicine R Science Q Wei Xu Jacques Vervoort Edoardo Saccenti Renny van Hoeij Bas Kemp Ariette van Knegsel Milk Metabolomics Data Reveal the Energy Balance of Individual Dairy Cows in Early Lactation
description	Abstract In early lactation, dairy cows typically have a negative energy balance which has been related to metabolic disorders, compromised health and fertility, and reduced productive lifespan. Assessment of the energy balance, however, is not easy on the farm. Our aims were to investigate the milk metabolic profiles of dairy cows in early lactation, and to obtain models to estimate energy balance from milk metabolomics data and milk production traits. Milk samples were collected in week 2 and 7 after calving from 31 dairy cows. For each cow, the energy balance was calculated from energy intake, milk production traits and body weight. A total of 52 milk metabolites were detected using LC-QQQ-MS. Data from different lactation weeks was analysed by partial least squares analysis, the top 15 most relevant variables from the metabolomics data related to energy balance were used to develop reduced linear models to estimate energy balance by forward selection regression. Milk fat yield, glycine, choline and carnitine were important variables to estimate energy balance (adjusted R 2: 0.53 to 0.87, depending on the model). The relationship of these milk metabolites with energy balance is proposed to be related to their roles in cell renewal.
format	article
author	Wei Xu Jacques Vervoort Edoardo Saccenti Renny van Hoeij Bas Kemp Ariette van Knegsel
author_facet	Wei Xu Jacques Vervoort Edoardo Saccenti Renny van Hoeij Bas Kemp Ariette van Knegsel
author_sort	Wei Xu
title	Milk Metabolomics Data Reveal the Energy Balance of Individual Dairy Cows in Early Lactation
title_short	Milk Metabolomics Data Reveal the Energy Balance of Individual Dairy Cows in Early Lactation
title_full	Milk Metabolomics Data Reveal the Energy Balance of Individual Dairy Cows in Early Lactation
title_fullStr	Milk Metabolomics Data Reveal the Energy Balance of Individual Dairy Cows in Early Lactation
title_full_unstemmed	Milk Metabolomics Data Reveal the Energy Balance of Individual Dairy Cows in Early Lactation
title_sort	milk metabolomics data reveal the energy balance of individual dairy cows in early lactation
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/ecb356147a64412bbeee55f74d78a384
work_keys_str_mv	AT weixu milkmetabolomicsdatarevealtheenergybalanceofindividualdairycowsinearlylactation AT jacquesvervoort milkmetabolomicsdatarevealtheenergybalanceofindividualdairycowsinearlylactation AT edoardosaccenti milkmetabolomicsdatarevealtheenergybalanceofindividualdairycowsinearlylactation AT rennyvanhoeij milkmetabolomicsdatarevealtheenergybalanceofindividualdairycowsinearlylactation AT baskemp milkmetabolomicsdatarevealtheenergybalanceofindividualdairycowsinearlylactation AT ariettevanknegsel milkmetabolomicsdatarevealtheenergybalanceofindividualdairycowsinearlylactation
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Milk Metabolomics Data Reveal the Energy Balance of Individual Dairy Cows in Early Lactation

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