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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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 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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 Table of Contents: -
 Rev. Type: -
 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: https://pure.mpg.de/cone/journals/resource/110978984569611