Evidence map›Paper›PMID 42558090›Full record

ArticleBreeding science2026

Current status and future perspective of genomics-assisted breeding in wheat (

Tsuyoshi Tanaka, Fuminori Kobayashi, Goro Ishikawa

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Genetic Advances inPlants (Basel, Switzerland) · 2026
    Review
  2. 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

3 authors.

Tsuyoshi TanakaResearch Center for Advanced Analysis, NARO, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8602, Japan.
Fuminori KobayashiInstitute of Crop Science, NARO, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan.
Goro IshikawaInstitute of Crop Science, NARO, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This review summarizes the current status and future prospects of using genomic information for wheat breeding. Wheat has the largest genome among all major crops (~16 Gb), thus requiring a sophisticated approach to collect and utilize genomic information compared to other crops. In this review, we first describe the conventional methods of marker-assisted selection in wheat breeding. We discuss results from studies using DNA markers, such as those breaking the tight linkage between disease resistance and undesired quality traits. Although marker-assisted selection has achieved some success, breeding efficiency cannot be easily improved using this technique alone because several important traits, such as yield, are governed by a large number of genes. Recently-developed tools for genetic analysis, such as next-generation sequencing, are being increasingly used in wheat research. Therefore, we outline the history and current status of wheat genome resources, including reference genome sequencing, databases, analysis tools, and genotyping platforms. Further, we discuss the prospects for wheat breeding based on these resources. This review highlights the importance of incorporating new technologies to breed wheat varieties with high yield and quality.

Indexed as

breeding strategygenetic analysisgenome sequencinggenomic selectiongenotypinghexaploidmarker-assisted selection

Identifiers

PMID42558090
PMCPMC13437168

What OpenQuestion holds

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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.