Evidence map›Paper›PMID 28377775›Full record

ArticleFrontiers in plant science2017

Modeling Allometric Relationships in Leaves of Young Rapeseed (

Tian Tian, Lingtong Wu, Michael Henke, Basharat Ali, Weijun Zhou, Gerhard Buck-Sorlin

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in plant science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. High Glucosinolate Content in Rocket Leaves (Foods (Basel, Switzerland) · 2020
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Tian TianInstitute of Crop Science and Zhejiang Key Laboratory of Crop Germplasm, Zhejiang University Hangzhou, China.
Lingtong WuInstitute of Crop Science and Zhejiang Key Laboratory of Crop Germplasm, Zhejiang University Hangzhou, China.
Michael HenkeDepartment of Ecoinformatics, Biometrics and Forest Growth, Georg-August University of Göttingen Göttingen, Germany.
Basharat AliInstitute of Crop Science and Zhejiang Key Laboratory of Crop Germplasm, Zhejiang UniversityHangzhou, China; Institute of Crop Science and Resource Conservation, University of BonnBonn, Germany.
Weijun ZhouInstitute of Crop Science and Zhejiang Key Laboratory of Crop Germplasm, Zhejiang University Hangzhou, China.
Gerhard Buck-SorlinIRHS, INRA, AGROCAMPUS OUEST, University of Angers Beaucouzé, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Functional-structural plant modeling (FSPM) is a fast and dynamic method to predict plant growth under varying environmental conditions. Temperature is a primary factor affecting the rate of plant development. In the present study, we used three different temperature treatments (10/14°C, 18/22°C, and 26/30°C) to test the effect of temperature on growth and development of rapeseed (

Indexed as

allometryfunctional–structural plant model (FSPM)GroIMPgrowth functionsource–sink relationstemperaturewinter oilseed rape

Identifiers

PMID28377775
PMCPMC5360154

What OpenQuestion holds

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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.