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  Metabolite and transcript markers for the prediction of potato drought tolerance

Sprenger, H., Erban, A., Seddig, S., Rudack, K., Thalhammer, A., Le, M. Q., et al. (2018). Metabolite and transcript markers for the prediction of potato drought tolerance. Plant Biotechnology Journal, 16(4), 939-950. doi:10.1111/pbi.12840.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0000-F40C-0 Version Permalink: http://hdl.handle.net/21.11116/0000-0000-F40D-F
Genre: Journal Article

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 Creators:
Sprenger, H.1, Author              
Erban, A.2, Author              
Seddig, Sylvia3, Author
Rudack, Katharina3, Author
Thalhammer, A.1, Author              
Le, Mai Q.3, Author
Walther, D.4, Author              
Zuther, E.1, Author              
Koehl, K. I.5, Author              
Kopka, J.2, Author              
Hincha, D. K.1, Author              
Affiliations:
1Transcript Profiling, Infrastructure Groups and Service Units, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_1753306              
2Applied Metabolome Analysis, Department Willmitzer, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_1753338              
3External Organizations, ou_persistent22              
4BioinformaticsCIG, Infrastructure Groups and Service Units, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_1753303              
5Plant Cultivation and Transformation, Infrastructure Groups and Service Units, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_1753305              

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Free keywords: drought tolerance, machine learning, metabolite markers, potato (Solanum tuberosum), prediction models, transcript markers
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Language(s): eng - English
 Dates: 2018
 Publication Status: Published in print
 Pages: -
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 Rev. Method: -
 Identifiers: DOI: 10.1111/pbi.12840
BibTex Citekey: doi:10.1111/pbi.12840
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Title: Plant Biotechnology Journal
  Other : Plant Biotechnol. J.
Source Genre: Journal
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Publ. Info: Oxford : Blackwell Pub.
Pages: - Volume / Issue: 16 (4) Sequence Number: - Start / End Page: 939 - 950 Identifier: ISSN: 1467-7644
CoNE: /journals/resource/110978984569611