Evidence map›Paper›PMID 28396554›Full record

ArticleThe Plant cell2017

Exploiting the Genetic Diversity of Maize Using a Combined Metabolomic, Enzyme Activity Profiling, and Metabolic Modeling Approach to Link Leaf Physiology to Kernel Yield.

Rafael A Cañas, Zhazira Yesbergenova-Cuny, Margaret Simons, Fabien Chardon, Patrick Armengaud, Isabelle Quilleré, Caroline Cukier, Yves Gibon, Anis M Limami, Stéphane Nicolas and 4 more

Erratum issuedOpen access · greenAbstract read
In one paragraph

Article in The Plant cell, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
3.9field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

29 citing papers in PubMed, 73 citations in OpenAlex.

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  11. Methods in molecular biology (Clifton, N.J.) · 2023
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  13. Exploring synergies between plant metabolic modelling and machine learning.Computational and structural biotechnology journal · 2022
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 5 institutions in 4 countries.

Rafael A CañasInstitut Jean-Pierre Bourgin, Institut National de la Recherche Agronomique (INRA), Centre de Versailles-Grignon, Unité Mixte de Recherche 1318, INRA-Agro-ParisTech, Equipe de Recherche Labellisée, Centre National de la Recherche Scientifique (CNRS) 3559, F-78026 Versailles cedex, France.ORCID http://orcid.org/0000-0001-9727-5585
Zhazira Yesbergenova-CunyInstitut Jean-Pierre Bourgin, Institut National de la Recherche Agronomique (INRA), Centre de Versailles-Grignon, Unité Mixte de Recherche 1318, INRA-Agro-ParisTech, Equipe de Recherche Labellisée, Centre National de la Recherche Scientifique (CNRS) 3559, F-78026 Versailles cedex, France.
Margaret SimonsDepartment of Chemical Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802.
Fabien ChardonInstitut Jean-Pierre Bourgin, Institut National de la Recherche Agronomique (INRA), Centre de Versailles-Grignon, Unité Mixte de Recherche 1318, INRA-Agro-ParisTech, Equipe de Recherche Labellisée, Centre National de la Recherche Scientifique (CNRS) 3559, F-78026 Versailles cedex, France.
Patrick ArmengaudInstitut Jean-Pierre Bourgin, Institut National de la Recherche Agronomique (INRA), Centre de Versailles-Grignon, Unité Mixte de Recherche 1318, INRA-Agro-ParisTech, Equipe de Recherche Labellisée, Centre National de la Recherche Scientifique (CNRS) 3559, F-78026 Versailles cedex, France.
Isabelle QuilleréInstitut Jean-Pierre Bourgin, Institut National de la Recherche Agronomique (INRA), Centre de Versailles-Grignon, Unité Mixte de Recherche 1318, INRA-Agro-ParisTech, Equipe de Recherche Labellisée, Centre National de la Recherche Scientifique (CNRS) 3559, F-78026 Versailles cedex, France.
Caroline CukierUniversity of Angers, Institut de Recherche en Horticulture et Semences, INRA, Structure Fédérative de Recherche 4207, Qualité et Santé du Végétal, F-49045 Angers, France.
Yves GibonUnité Mixte Recherche 1332, Biologie du Fruit et Pathologie, Bordeaux Métabolome Platform, INRA de Bordeaux-Aquitaine, F-33883 Villenave d'Ornon cedex, France.
Anis M LimamiUniversity of Angers, Institut de Recherche en Horticulture et Semences, INRA, Structure Fédérative de Recherche 4207, Qualité et Santé du Végétal, F-49045 Angers, France.
Stéphane NicolasStation de Génétique Végétale, INRA-UPS-INAPG-CNRS, Ferme du Moulon, F-91190 Gif/Yvette, France.
Lenaïg BruléInstitut Jean-Pierre Bourgin, Institut National de la Recherche Agronomique (INRA), Centre de Versailles-Grignon, Unité Mixte de Recherche 1318, INRA-Agro-ParisTech, Equipe de Recherche Labellisée, Centre National de la Recherche Scientifique (CNRS) 3559, F-78026 Versailles cedex, France.
Peter J LeaLancaster Environment Centre, Lancaster University, Lancaster LA1 4YQ, United Kingdom.
Costas D MaranasDepartment of Chemical Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802.
Bertrand HirelInstitut Jean-Pierre Bourgin, Institut National de la Recherche Agronomique (INRA), Centre de Versailles-Grignon, Unité Mixte de Recherche 1318, INRA-Agro-ParisTech, Equipe de Recherche Labellisée, Centre National de la Recherche Scientifique (CNRS) 3559, F-78026 Versailles cedex, France hirel@versailles.inra.fr.
Centre National de la Recherche Scientifique · FRPennsylvania State University · USUniversité d'Angers · FRBiologie du Fruit et Pathologie · FRLancaster University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A combined metabolomic, biochemical, fluxomic, and metabolic modeling approach was developed using 19 genetically distant maize (

Indexed as

CarbonGenetic VariationMetabolomicsPhotosynthesisPlant LeavesZea maysCarbon

Identifiers

PMID28396554
PMCPMC5466022
OpenAlexW2606087427

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.