Evidence map›Paper›PMID 41663731›Full record

ArticleScientific reports2026

Quantitative analysis of root system architecture and fresh weight biomass traits highlight phenotypic variation in radish (Raphanus sativus L.) germplasm.

Kingsley Ochar, Dae-Won Ki, Suyun Moon, Matilda Ntowaa Bissah, Seong-Hoon Kim

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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

5 authors.

Kingsley Ochar *National Agrobiodiversity Center, Rural Development Administration, National Institute of Agricultural Sciences, Jeonju, 54874, Republic of Korea.ORCID http://orcid.org/0000-0001-9800-0217
Dae-Won KiNational Agrobiodiversity Center, Rural Development Administration, National Institute of Agricultural Sciences, Jeonju, 54874, Republic of Korea.
Suyun MoonNational Agrobiodiversity Center, Rural Development Administration, National Institute of Agricultural Sciences, Jeonju, 54874, Republic of Korea.
Matilda Ntowaa BissahCouncil for Scientific and Industrial Research, Plant Genetic Resources Research Institute, P.O. Box 7, Bunso, Ghana.ORCID http://orcid.org/0000-0002-7709-3327
Seong-Hoon Kim *National Agrobiodiversity Center, Rural Development Administration, National Institute of Agricultural Sciences, Jeonju, 54874, Republic of Korea. shkim0819@korea.kr.

Funding

Rural Development Administration PJ01425501/RS-2019-RD007776
6 · The paper itself

Abstract

Radish exhibits remarkable diversity in root morphology and architecture, which are crucial traits for nutrient and water uptake, stress adaptation and marketability. This study assessed root variability in 23 radish accessions, including a wild relative, landraces, and cultivars. Plants were grown in controlled greenhouse, and 2D images of roots acquired, using a high-resolution flatbed scanner fitted with a transparent acrylic tray (30 cm × 20 cm). Root analysis was performed using the WinRHIZO Pro software (Regent Instruments Inc., Quebec, Canada). Results of the analysis of variance revealed significant genotype variation (p < 0.01) for nearly all traits, except average length of link. Turkish accessions recorded the longest average root length and greater root branching, whereas Chinese and Korean accessions exhibited significantly larger root diameters and higher root biomass-related trait values. Landraces developed the most extensive root systems, wild relatives showed high trait variability, and cultivars were more uniform in root volume and diameter. Correlation analysis revealed strong positive associations (p < 0.01) among root length, surface area, projected area, and branching, suggesting a coordinated system for soil exploration. Principal component analysis identified five functional clusters, explaining 93.485% of total variation. This study revealed the presence of a wide range of variation in radish root traits and provides a foundation for trait selection, targeting resource-use efficiency, and market needs.

Indexed as

BiomassPlant RootsQuantitative Trait, HeritableRaphanusGenetic VariationGenotypePhenotypeAccessionFresh weight biomassGermplasmRadishRoot system architecture

Identifiers

PMID41663731
PMCPMC12957521

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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.