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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| Format: | Article |
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Nature Portfolio
2018-10-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-018-34190-4 |
| _version_ | 1818840277829287936 |
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| 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 |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-19T04:07:38Z |
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| id | doaj.art-ecb356147a64412bbeee55f74d78a384 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-12-19T04:07:38Z |
| publishDate | 2018-10-01 |
| publisher | Nature Portfolio |
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| series | Scientific Reports |
| spelling | doaj.art-ecb356147a64412bbeee55f74d78a3842022-12-21T20:36:29ZengNature PortfolioScientific Reports2045-23222018-10-018111110.1038/s41598-018-34190-4Milk Metabolomics Data Reveal the Energy Balance of Individual Dairy Cows in Early LactationWei Xu0Jacques Vervoort1Edoardo Saccenti2Renny van Hoeij3Bas Kemp4Ariette van Knegsel5Adaptation Physiology Group, Department of Animal Sciences, Wageningen University & ResearchLaboratory of Biochemistry, Wageningen University & ResearchLaboratory of Systems and Synthetic Biology, Wageningen University & ResearchAdaptation Physiology Group, Department of Animal Sciences, Wageningen University & ResearchAdaptation Physiology Group, Department of Animal Sciences, Wageningen University & ResearchAdaptation Physiology Group, Department of Animal Sciences, Wageningen University & ResearchAbstract 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.https://doi.org/10.1038/s41598-018-34190-4Early LactationIndividual Dairy CowsMilk MetabolitesMilk Production TraitsLactation Week |
| spellingShingle | 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 Scientific Reports Early Lactation Individual Dairy Cows Milk Metabolites Milk Production Traits Lactation Week |
| title | 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_short | 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 |
| topic | Early Lactation Individual Dairy Cows Milk Metabolites Milk Production Traits Lactation Week |
| url | https://doi.org/10.1038/s41598-018-34190-4 |
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