Evidence map›Paper›PMID 37288161›Full record

ArticlePlant-environment interactions (Hoboken, N.J.)2023

PhenoWell®-A novel screening system for soil-grown plants.

Ji Li, Michael A C Mintgen, Sam D'Haeyer, Anne Helfer, Hilde Nelissen, Dirk Inzé, Stijn Dhondt

Open access · goldAbstract read
In one paragraph

Article in Plant-environment interactions (Hoboken, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. PhenoWell®-A novel screening system for soil-grown plants.Plant-environment interactions (Hoboken, N.J.) · 2023
    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

7 authors at 2 institutions in 1 country.

Ji LiDepartment of Plant Biotechnology and Bioinformatics Ghent University Ghent Belgium.ORCID https://orcid.org/0000-0002-2034-9045
Michael A C MintgenDepartment of Plant Biotechnology and Bioinformatics Ghent University Ghent Belgium.ORCID https://orcid.org/0000-0003-0579-3970
Sam D'HaeyerDiscovery Sciences VIB Ghent Belgium.ORCID https://orcid.org/0000-0002-0090-3854
Anne HelferDiscovery Sciences VIB Ghent Belgium.ORCID https://orcid.org/0000-0002-5604-9474
Hilde NelissenDepartment of Plant Biotechnology and Bioinformatics Ghent University Ghent Belgium.ORCID https://orcid.org/0000-0001-7494-1290
Dirk InzéDepartment of Plant Biotechnology and Bioinformatics Ghent University Ghent Belgium.ORCID https://orcid.org/0000-0002-3217-8407
Stijn DhondtDepartment of Plant Biotechnology and Bioinformatics Ghent University Ghent Belgium.ORCID https://orcid.org/0000-0003-4402-2191
Ghent University · BEVIB-UGent Center for Plant Systems Biology · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As agricultural production is reaching its limits regarding outputs and land use, the need to further improve crop yield is greater than ever. The limited translatability from in vitro lab results into more natural growth conditions in soil remains problematic. Although considerable progress has been made in developing soil-growth assays to tackle this bottleneck, the majority of these assays use pots or whole trays, making them not only space- and resource-intensive, but also hampering the individual treatment of plants. Therefore, we developed a flexible and compact screening system named PhenoWell® in which individual seedlings are grown in wells filled with soil allowing single-plant treatments. The system makes use of an automated image-analysis pipeline that extracts multiple growth parameters from individual seedlings over time, including projected rosette area, relative growth rate, compactness, and stockiness. Macronutrient, hormone, salt, osmotic, and drought stress treatments were tested in the PhenoWell® system. The system is also optimized for maize with results that are consistent with Arabidopsis while different in amplitude. We conclude that the PhenoWell® system enables a high-throughput, precise, and uniform application of a small amount of solution to individually soil-grown plants, which increases the replicability and reduces variability and compound usage.

Indexed as

abiotic stressArabidopsisgrowth and developmenthigh‐throughput screening assaysmaizenutrientsphytohormonesplant leavesseedlingssoil

Identifiers

PMID37288161
PMCPMC10243540
OpenAlexW4319984049

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.