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| Mie, Axel; Laursen, Kristian Holst; Aberg, K Magnus; Forshed, Jenny; Lindahl, Anna; Thorup-Kristensen, Kristian; Olsson, Marie; Knuthsen, Pia; Larsen, Erik Huusfeldt; Husted, Søren. |
| The influence of organic and conventional farming practices on the content of single nutrients in plants is disputed in the scientific literature. Here, large-scale untargeted LC-MS-based metabolomics was used to compare the composition of white cabbage from organic and conventional agriculture, measuring 1,600 compounds. Cabbage was sampled in 2 years from one conventional and two organic farming systems in a rigidly controlled long-term field trial in Denmark. Using Orthogonal Projection to Latent Structures-Discriminant Analysis (OPLS-DA), we found that the production system leaves a significant (p = 0.013) imprint in the white cabbage metabolome that is retained between production years. We externally validated this finding by predicting the production... |
| Tipo: Journal paper |
Palavras-chave: Farming Systems Food security; Food quality and human health Crop husbandry Crop health; Quality; Protection Farm nutrient management. |
| Ano: 2014 |
URL: http://orgprints.org/25578/1/Mie%202014%20Discrimination%20of%20conventional%20and%20organic%20white%20cabbage%20froma%20long-term%20field%20trial%20study%20using%20untargeted%20LC-MS-based%20metabolomics.pdf |
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| Mie, Axel; Laursen, Kristian Holst; Aberg, K. Magnus; Forshed, Jenny; Lindahl, Anna; Thorup-Kristensen, Kristian; Olsson, Marie; Knuthsen, Pia; Larsen, Erik Huusfeldt; Husted, Søren. |
| The influence of organic and conventional farming practices on the content of single nutrients in plants is disputed in the scientific literature. Here, large-scale untargeted LC-MS-based metabolomics was used to compare the composition of white cabbage from organic and conventional agriculture, measuring 1,600 compounds. Cabbage was sampled in 2 years from one conventional and two organic farming systems in a rigidly controlled long-term field trial in Denmark. Using Orthogonal Projection to Latent Structures-Discriminant Analysis (OPLS-DA), we found that the production system leaves a significant (p = 0.013) imprint in the white cabbage metabolome that is retained between production years. We externally validated this finding by predicting the production... |
| Tipo: Journal paper |
Palavras-chave: Farming Systems Food security; Food quality and human health Crop health; Quality; Protection Farm nutrient management. |
| Ano: 2014 |
URL: http://orgprints.org/29054/1/Mie%202014%20Discrimination%20of%20conventional%20and%20organic%20white%20cabbage%20froma%20long-term%20field%20trial%20study%20using%20untargeted%20LC-MS-based%20metabolomics.pdf |
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