Evidence map›Paper›PMID 37253069›Full record

ArticlePLoS computational biology2023

Predicting yield of individual field-grown rapeseed plants from rosette-stage leaf gene expression.

Sam De Meyer, Daniel Felipe Cruz, Tom De Swaef, Peter Lootens, Jolien De Block, Kevin Bird, Heike Sprenger, Michael Van de Voorde, Stijn Hawinkel, Tom Van Hautegem and 4 more

Abstract read
In one paragraph

Article in PLoS computational biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Effects of Fertilizer Rates on Growth ofLife (Basel, Switzerland) · 2026
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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

14 authors.

Sam De MeyerDepartment of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium.
Daniel Felipe CruzDepartment of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium.ORCID 0000-0003-3483-7258
Tom De SwaefPlant Sciences Unit, Flanders Research Institute for Agriculture, Fisheries and Food (ILVO), Melle, Belgium.ORCID 0000-0002-8338-7786
Peter LootensPlant Sciences Unit, Flanders Research Institute for Agriculture, Fisheries and Food (ILVO), Melle, Belgium.
Jolien De BlockDepartment of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium.
Kevin BirdDepartment of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium.ORCID 0000-0002-3174-3646
Heike SprengerDepartment of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium.ORCID 0000-0002-2435-5645
Michael Van de VoordeDepartment of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium.
Stijn HawinkelDepartment of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium.
Tom Van HautegemDepartment of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium.
Dirk InzéDepartment of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium.
Hilde NelissenDepartment of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium.
Isabel Roldán-RuizDepartment of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium.
Steven MaereDepartment of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium.ORCID 0000-0002-5341-136X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the plant sciences, results of laboratory studies often do not translate well to the field. To help close this lab-field gap, we developed a strategy for studying the wiring of plant traits directly in the field, based on molecular profiling and phenotyping of individual plants. Here, we use this single-plant omics strategy on winter-type Brassica napus (rapeseed). We investigate to what extent early and late phenotypes of field-grown rapeseed plants can be predicted from their autumnal leaf gene expression, and find that autumnal leaf gene expression not only has substantial predictive power for autumnal leaf phenotypes but also for final yield phenotypes in spring. Many of the top predictor genes are linked to developmental processes known to occur in autumn in winter-type B. napus accessions, such as the juvenile-to-adult and vegetative-to-reproductive phase transitions, indicating that the yield potential of winter-type B. napus is influenced by autumnal development. Our results show that single-plant omics can be used to identify genes and processes influencing crop yield in the field.

Indexed as

Brassica napusGene ExpressionPhenotypePlant Leaves

Identifiers

PMID37253069
PMCPMC10256231

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.