Evidence map›Paper›PMID 36840276›Full record

ArticlePlants (Basel, Switzerland)2023

High-Density Linkage Maps from Japanese Rice

Rym Fekih, Yohei Ishimaru, Satoshi Okada, Michihiro Maeda, Ryutaro Miyagi, Takahiro Obana, Kazuyo Suzuki, Minoru Inamori, Hiroyuki Enoki, Masanori Yamasaki

Open access · goldAbstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.9field-weighted citation impact, top 14% of its field
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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Marker-Assisted Selection of Jacalin-Related Lectin GenesInternational journal of molecular sciences · 2024
    Article
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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

10 authors at 3 institutions in 1 country.

Rym FekihFood Resources Education and Research Center, Graduate School of Agricultural Science, Kobe University, Kasai 675-2103, Japan.ORCID 0000-0003-4228-8287
Yohei IshimaruFood Resources Education and Research Center, Graduate School of Agricultural Science, Kobe University, Kasai 675-2103, Japan.
Satoshi OkadaFood Resources Education and Research Center, Graduate School of Agricultural Science, Kobe University, Kasai 675-2103, Japan.
Michihiro MaedaFood Resources Education and Research Center, Graduate School of Agricultural Science, Kobe University, Kasai 675-2103, Japan.
Ryutaro MiyagiEurofins Genomics K.K., Tokyo 143-0003, Japan.
Takahiro ObanaEurofins Genomics K.K., Tokyo 143-0003, Japan.
Kazuyo SuzukiToyota Motor Corporation, Toyota 471-8571, Japan.
Minoru InamoriToyota Motor Corporation, Toyota 471-8571, Japan.
Hiroyuki EnokiToyota Motor Corporation, Toyota 471-8571, Japan.
Masanori YamasakiFood Resources Education and Research Center, Graduate School of Agricultural Science, Kobe University, Kasai 675-2103, Japan.ORCID 0000-0001-7759-3965
Kobe University · JPToyota Motor Corporation (Japan) · JPNagoya University · JP

Funding

This research was funded by the Japan Science and Technology Agency (JST) CREST Grant Number JPMJCR17O3 and Cross-ministerial Strategic Innovation Promotion Program (SIP) "Technologies for creating next-generation agriculture, forestry and fisheries)" (fu Grant Number JPMJCR17O3
6 · The paper itself

Abstract

The genetic dissection of agronomically important traits in closely related Japanese rice cultivars is still in its infancy mainly because of the narrow genetic diversity within

Indexed as

genetic linkage mapGRAS-Di genotypingJapanese ricejaponica subspeciesrecombinant inbred lines

Identifiers

PMID36840276
PMCPMC9959243
OpenAlexW4321372083

What OpenQuestion holds

Textmetadata
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.