Progeny-based genomic selection reveals untapped genetic potential in an underutilized medicinal plant,

Sei Kinoshita, Kengo Sakurai, Takahiro Tsusaka, Miki Sakurai, Kenta Shirasawa, Sachiko Isobe, Hiroyoshi Iwata

Abstract read

In one paragraph

Article in Molecular breeding : new strategies in plant improvement, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Sei KinoshitaGraduate School of Agricultural and Life Sciences, University of Tokyo, Tokyo, Japan.ORCID 0009-0002-1063-5467

Kengo SakuraiGraduate School of Agricultural and Life Sciences, University of Tokyo, Tokyo, Japan.ORCID 0000-0001-7773-289X

Takahiro TsusakaTSUMURA & CO, Ibaraki, Japan.ORCID 0000-0002-4861-0612

Miki SakuraiTSUMURA & CO, Ibaraki, Japan.ORCID 0009-0002-5890-6238

Kenta ShirasawaKazusa DNA Research Institute, Chiba, Japan.ORCID 0000-0001-7880-6221

Sachiko IsobeGraduate School of Agricultural and Life Sciences, University of Tokyo, Tokyo, Japan.ORCID 0000-0002-9555-5054

Hiroyoshi IwataGraduate School of Agricultural and Life Sciences, University of Tokyo, Tokyo, Japan.ORCID 0000-0002-6747-7036

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite their substantial therapeutic value, medicinal plants have undergone limited genetic improvement through breeding because of the scarcity of expert breeders. Moreover, quantifying bioactive compounds is expensive. Genomic selection, which leverages genome-wide markers to predict breeding values and assemble favorable alleles, offers a practical way to unlock latent genetic potential. As a model case, we evaluated genomic selection in red perilla ( Supplementary Information: The online version contains supplementary material available at 10.1007/s11032-026-01700-6.

Indexed as

Crossing experimentGenome-assisted breedingGenomic selectionMedicinal plantsPerilla frutescens

Identifiers

PMID42553323

DOI10.1007/s11032-026-01700-6

PMCPMC13433675

What Socratic holds

Textmetadata

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 Socratic graph.