Classification-driven framework to predict maize hybrid field performance from 
metabolic profiles of young parental roots

de Abreu e Lima, F.; Willmitzer, L.; Nikoloski, Z.

doi:10.1371/journal.pone.0196038

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Classification-driven framework to predict maize hybrid field performance from metabolic profiles of young parental roots

de Abreu e Lima, F., Willmitzer, L., & Nikoloski, Z. (2018). Classification-driven framework to predict maize hybrid field performance from metabolic profiles of young parental roots. PLoS One, 13(4): e0196038. doi:10.1371/journal.pone.0196038.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0001-4037-9 Version Permalink: https://hdl.handle.net/21.11116/0000-0001-4038-8

Genre: Journal Article

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Creators:
de Abreu e Lima, F.¹, Author
Willmitzer, L.¹, Author
Nikoloski, Z.², Author

Affiliations:
1Small Molecules, Department Willmitzer, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_1753340
2Mathematical Modelling and Systems Biology - Nikoloski, Cooperative Research Groups, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_1753310

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Language(s): eng - English

Dates: Date issued: 2018

Publication Status: Issued

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Identifiers: DOI: 10.1371/journal.pone.0196038

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Title: PLoS One

Source Genre: Journal

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Publ. Info: San Francisco, CA : Public Library of Science

Pages: - Volume / Issue: 13 (4) Sequence Number: e0196038 Start / End Page: - Identifier: ISSN: 1932-6203
CoNE: https://pure.mpg.de/cone/journals/resource/1000000000277850