Evidence map›Paper›PMID 36834578›Full record

ArticleInternational journal of molecular sciences2023

Genome-Wide Detection of Quantitative Trait Loci and Prediction of Candidate Genes for Seed Sugar Composition in Early Mature Soybean.

Li Hu, Xianzhi Wang, Jiaoping Zhang, Liliana Florez-Palacios, Qijian Song, Guo-Liang Jiang

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.2field-weighted citation impact, top 9% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

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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

6 authors at 5 institutions in 2 countries.

Li HuSchool of Agriculture, Yunnan University, Kunming 650091, China.
Xianzhi WangSchool of Agriculture, Yunnan University, Kunming 650091, China.ORCID 0000-0002-3415-0483
Jiaoping ZhangCollege of Agriculture, Nanjing Agricultural University, Nanjing 210095, China.
Liliana Florez-PalaciosDepartment of Crop, Soil, and Environmental Sciences, University of Arkansas, Fayetteville, AR 72701, USA.
Qijian SongUSDA-ARS Beltsville Agricultural Research Center, Beltsville, MD 20705, USA.
Guo-Liang JiangAgricultural Research Station, College of Agriculture, Virginia State University, Petersburg, VA 23806, USA.
Yunnan University · CNBeltsville Agricultural Research Center · USNanjing Agricultural University · CNUniversity of Arkansas at Fayetteville · USVirginia State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Seed sugar composition, mainly including fructose, glucose, sucrose, raffinose, and stachyose, is an important indicator of soybean [

Indexed as

Glycine maxQuantitative Trait LociGenome-Wide Association StudyLinkage DisequilibriumPolymorphism, Single NucleotideSeedsSugarsSugarsgene predictionGlycine maxGWASsoluble carbohydrates

Identifiers

PMID36834578
PMCPMC9966586
OpenAlexW4319317248

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.