Evidence map›Paper›PMID 29279303›Full record

ArticleG3 (Bethesda, Md.)2018

Fine Mapping of

Yuka Kitomi, Emari Nakao, Sawako Kawai, Noriko Kanno, Tsuyu Ando, Shuichi Fukuoka, Kenji Irie, Yusaku Uga

Abstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pinpointing genomic regions associated with root system architecture in rice through an integrative meta-analysis approach.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022
    Pooled it
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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

8 authors.

Yuka KitomiInstitute of Crop Science, National Agriculture and Food Research Organization, Tsukuba, Ibaraki 305-8518, Japan.
Emari NakaoDepartment of International Agricultural Development, Graduate School of Agriculture, Tokyo University of Agriculture, Setagaya-ku 156-8502, Japan.
Sawako KawaiInstitute of Crop Science, National Agriculture and Food Research Organization, Tsukuba, Ibaraki 305-8518, Japan.
Noriko KannoInstitute of Crop Science, National Agriculture and Food Research Organization, Tsukuba, Ibaraki 305-8518, Japan.
Tsuyu AndoInstitute of Crop Science, National Agriculture and Food Research Organization, Tsukuba, Ibaraki 305-8518, Japan.
Shuichi FukuokaInstitute of Crop Science, National Agriculture and Food Research Organization, Tsukuba, Ibaraki 305-8518, Japan.
Kenji IrieDepartment of International Agricultural Development, Graduate School of Agriculture, Tokyo University of Agriculture, Setagaya-ku 156-8502, Japan.
Yusaku UgaInstitute of Crop Science, National Agriculture and Food Research Organization, Tsukuba, Ibaraki 305-8518, Japan yuga@affrc.go.jp.ORCID 0000-0003-4006-954X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The volume that the root system can occupy is associated with the efficiency of water and nutrient uptake from soil. Genetic improvement of root length, which is a limiting factor for root distribution, is necessary for increasing crop production. In this report, we describe identification of two quantitative trait loci (QTLs) for maximal root length,

Indexed as

Chromosome MappingChromosomes, PlantCrosses, GeneticGenes, PlantGenotypeHydroponicsOryzaPlant RootsPlant ShootsQuantitative Trait LociSpecies SpecificityCSSLsOryza sativaQTLsroot elongationroot system architecture

Identifiers

PMID29279303
PMCPMC5919730

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.