Evidence map›Paper›PMID 34992619›Full record

ArticleFrontiers in plant science2021

Unravelling Rubber Tree Growth by Integrating GWAS and Biological Network-Based Approaches.

Felipe Roberto Francisco, Alexandre Hild Aono, Carla Cristina da Silva, Paulo S Gonçalves, Erivaldo J Scaloppi Junior, Vincent Le Guen, Roberto Fritsche-Neto, Livia Moura Souza, Anete Pereira de Souza

Abstract read
In one paragraph

Article in Frontiers in plant science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. First Report ofPlants (Basel, Switzerland) · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Genome-wide association studies in forestry.Molecular biology reports · 2025
    Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Genome-Wide Identification of Rubber TreePlants (Basel, Switzerland) · 2024
    Article
  11. Article
  12. Analysis of Growth Trajectories and Verification of Related SNPs inInternational journal of molecular sciences · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
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

9 authors.

Felipe Roberto FranciscoMolecular Biology and Genetic Engineering Center (CBMEG), University of Campinas (UNICAMP), Campinas, Brazil.
Alexandre Hild AonoMolecular Biology and Genetic Engineering Center (CBMEG), University of Campinas (UNICAMP), Campinas, Brazil.
Carla Cristina da SilvaMolecular Biology and Genetic Engineering Center (CBMEG), University of Campinas (UNICAMP), Campinas, Brazil.
Paulo S GonçalvesCenter of Rubber Tree and Agroforestry Systems, Agronomic Institute (IAC), Votuporanga, Brazil.
Erivaldo J Scaloppi JuniorCenter of Rubber Tree and Agroforestry Systems, Agronomic Institute (IAC), Votuporanga, Brazil.
Vincent Le GuenCentre de Coopération Internationale en Recherche Agronomique pour le Développement (CIRAD), UMR AGAP, Montpellier, France.
Roberto Fritsche-NetoDepartment of Genetics, Luiz de Queiroz College of Agriculture (ESALQ), University of São Paulo (USP), Piracicaba, Brazil.
Livia Moura SouzaMolecular Biology and Genetic Engineering Center (CBMEG), University of Campinas (UNICAMP), Campinas, Brazil.
Anete Pereira de SouzaMolecular Biology and Genetic Engineering Center (CBMEG), University of Campinas (UNICAMP), Campinas, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

GBSGWASHevea brasiliensislinkage disequilibriummetabolic networksQTLRNA-SeqWGCNA

Identifiers

PMID34992619
PMCPMC8724537

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.