Evidence map›Paper›PMID 42144945›Full record

ArticleJournal of integrative bioinformatics2026

Pheno-App 2.0 - a mobile app for collecting phenotypic data in plant research.

Annedore Söchting, Danuta Schüler, Theodor Strauch, Toni Schreiber

Abstract read
In one paragraph

Article in Journal of integrative bioinformatics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Annedore SöchtingLeibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Corrensstr. 3, 06466 Seeland, Germany.ORCID https://orcid.org/0009-0003-3007-8052
Danuta SchülerLeibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Corrensstr. 3, 06466 Seeland, Germany.
Theodor StrauchLeibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Corrensstr. 3, 06466 Seeland, Germany.
Toni SchreiberData Processing Department, Julius Kühn Institute (JKI) - Federal Research Centre for Cultivated Plants, Erwin-Baur-Str. 27, 06484 Quedlinburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Documenting plant phenotypic data in the field is a common task necessary for the preservation of crop plant biodiversity in genebanks. Today, mobile applications are used to record data more efficiently and avoid errors. The Pheno-App is an open-source Android application developed to facilitate digital recording of plant phenotypic data at the Julius Kühn Institute (JKI) in Quedlinburg. Designed for tablets and smartphones, the application features customizable trials based on Excel formats, allowing both manual editing and machine processing. One major challenge in collecting phenotypic data during regeneration of plant genetic resources (PGR) in a genebank such as IPK is the diversity of crops and the many traits to record. To make the Pheno-App usable for specific genebank work, corresponding requirements were collected and implemented. The latest version, Pheno-App 2.0, is being developed at the IPK. Major advances over the original version include the ability to apply crop-specific trait sets within a single trial and efficiently input multiple observations per time point, such as percentage characterisations for population traits. These developments make Pheno-App 2.0 a versatile, evolving tool for genebank experts in conservation and characterisation of PGRs.

Indexed as

Crops, AgriculturalMobile ApplicationsPhenotypePlantsAndroid appdigital data acquisitiongenebankplant phenotyping

Identifiers

PMID42144945
PMCPMC13526451

What OpenQuestion holds

Textmetadata
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.