A genomics and multi-platform metabolomics approach to identify new traits of 
rice quality in traditional and improved varieties

Calingacion, M. N.; Boualaphanh, C.; Daygon, V. D.; Anacleto, R.; Sackville Hamilton, R.; Biais, B.; Deborde, C.; Maucourt, M.; Moing, A.; Mumm, R.; de Vos, R. C. H.; Erban, A.; Kopka, J.; Hansen, T. H.; Laursen, K. H.; Schjoerring, J. K.; Hall, R. D.; Fitzgerald, M. A.

doi:10.1007/s11306-011-0374-4

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A genomics and multi-platform metabolomics approach to identify new traits of rice quality in traditional and improved varieties

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Erban, A.
Applied Metabolome Analysis, Department Willmitzer, Max Planck Institute of Molecular Plant Physiology, Max Planck Society;

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Kopka, J.
Applied Metabolome Analysis, Department Willmitzer, Max Planck Institute of Molecular Plant Physiology, Max Planck Society;

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Calingacion, M. N., Boualaphanh, C., Daygon, V. D., Anacleto, R., Sackville Hamilton, R., Biais, B., et al. (2012). A genomics and multi-platform metabolomics approach to identify new traits of rice quality in traditional and improved varieties. Metabolomics, 8(5), 771-783. doi:10.1007/s11306-011-0374-4.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0014-2027-8

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