Evidence map›Paper›PMID 42558133›Full record

ArticleBreeding science2026

Recent progress in DNA marker-assisted selection for vegetable breeding in Japan.

Tsukasa Nunome, Mitsuyo Kawasaki, Tomohiro Kakizaki, Koji Miyatake, Mitsuhiro Sugiyama, Yosuke Yoshioka, Satoshi Fujito, Masanori Honjo

Abstract read
In one paragraph

Article in Breeding science, 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

8 authors.

Tsukasa NunomeInstitute of Vegetable and Floriculture Science (NIVFS), National Agriculture and Food Research Organization, 3-1-1 Kannondai, Tsukuba, Ibaraki 305-8519, Japan.
Mitsuyo KawasakiInstitute of Vegetable and Floriculture Science (NIVFS), National Agriculture and Food Research Organization, 360 Ano, Tsu, Mie 514-2392, Japan.
Tomohiro KakizakiInstitute of Vegetable and Floriculture Science (NIVFS), National Agriculture and Food Research Organization, 360 Ano, Tsu, Mie 514-2392, Japan.
Koji MiyatakeInstitute of Vegetable and Floriculture Science (NIVFS), National Agriculture and Food Research Organization, 360 Ano, Tsu, Mie 514-2392, Japan.
Mitsuhiro SugiyamaInstitute of Vegetable and Floriculture Science (NIVFS), National Agriculture and Food Research Organization, 360 Ano, Tsu, Mie 514-2392, Japan.
Yosuke YoshiokaInstitute of Life and Environmental Sciences, University of Tsukuba, Tsukuba, Ibaraki 305-8572, Japan.
Satoshi FujitoInstitute of Vegetable and Floriculture Science (NIVFS), National Agriculture and Food Research Organization, 360 Ano, Tsu, Mie 514-2392, Japan.
Masanori HonjoTohoku Agricultural Research Center, National Agriculture and Food Research Organization, 4 Akahira, Shimokuriyagawa, Morioka, Iwate 020-0198, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of new cultivars exhibiting high levels of disease resistance and superior quality is critical for vegetable production. Recent advances in genomics and DNA sequencing technologies have facilitated the identification of sequence variants associated with specific phenotypes. This has enabled the development of novel and improved DNA markers for integration into marker-assisted selection (MAS). The application of MAS has significantly enhanced the efficiency of stacking loci responsible for disease resistance and quality characteristics. This paper provides an overview of recent research findings related to DNA markers and their applications in breeding in Japan, focusing primarily on vegetables from

Indexed as

breedingmarker-assisted selectionvegetable

Identifiers

PMID42558133
PMCPMC13437167

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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.