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Journal Article

Deducing Hybrid Performance from Parental Metabolic Profiles of Young Primary Roots of Maize by Using a Multivariate Diallel Approach

MPS-Authors
http://pubman.mpdl.mpg.de/cone/persons/resource/persons97144

Feher,  K.
BioinformaticsCRG, Cooperative Research Groups, Max Planck Institute of Molecular Plant Physiology, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons97274

Lisec,  J.
Small Molecules, Department Willmitzer, Max Planck Institute of Molecular Plant Physiology, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons97409

Selbig,  J.
BioinformaticsCRG, Cooperative Research Groups, Max Planck Institute of Molecular Plant Physiology, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons97320

Nikoloski,  Z.
Mathematical Modelling and Systems Biology, Department Willmitzer, Max Planck Institute of Molecular Plant Physiology, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons97481

Willmitzer,  L.
Central Metabolism, Department Willmitzer, Max Planck Institute of Molecular Plant Physiology, Max Planck Society;

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Fulltext (public)

PMC3883692.zip
(Any fulltext), 157KB

Supplementary Material (public)
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Citation

Feher, K., Lisec, J., Römisch-Margl, L., Selbig, J., Gierl, A., Piepho, H.-P., et al. (2014). Deducing Hybrid Performance from Parental Metabolic Profiles of Young Primary Roots of Maize by Using a Multivariate Diallel Approach. PLoS ONE, 9(1): e85435. doi:10.1371/journal.pone.0085435.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0015-1274-B
Abstract
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