Evidence map›Paper›PMID 41424546›Full record

ArticleFrontiers in plant science2025

TPS5 and TOR signaling components are determinants of

Marc J Champigny, Shankar Pahari, Charles A Hefer, Salim N Silim, Shawn D Mansfield, Raju Y Soolanayakanahally

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in plant science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Marc J ChampignyPhenoLogic Co., Toronto, ON, Canada.
Shankar PahariSaskatoon Research and Development Centre, Agriculture and Agri-Food Canada, Saskatoon, SK, Canada.
Charles A HeferBioeconomy Science Institute, AgResearch Ltd., Lincoln, New Zealand.
Salim N SilimOttawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, ON, Canada.
Shawn D MansfieldDepartment of Wood Science, University of British Columbia, Vancouver, BC, Canada.
Raju Y SoolanayakanahallyIndian Head Research Farm, Agriculture and Agri-Food Canada, Indian Head, SK, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Variation in leaf morphology in plant species predicts long-term growth and yield. Consequently, we aim to understand the genetic basis of natural variation in poplar leaf morphology as an avenue to maximize biomass accrual. Multilocus GWAS and deep learning genomic prediction were used to investigate the genetic architecture of twelve correlated traits representing leaf size and shape in a diverse population of 313

Indexed as

deep learningGWASleaf morphologynatural variationPopulusterpene synthase

Identifiers

PMID41424546
PMCPMC12713574

What OpenQuestion holds

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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.