Evidence map›Paper›PMID 38475496›Full record

ArticlePlants (Basel, Switzerland)2024

Identification of Quantitative Trait Loci (QTL) for Sucrose and Protein Content in Soybean Seed.

Daniel R Jamison, Pengyin Chen, Navam S Hettiarachchy, David M Miller, Ehsan Shakiba

Open access · goldAbstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2024. 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
4.2field-weighted citation impact, top 7% 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, 7 citations in OpenAlex.

  1. Review
  2. StablePlants (Basel, Switzerland) · 2026
    Article
  3. Article
  4. Fine Mapping ofPlants (Basel, Switzerland) · 2025
    Article
  5. Article
  6. 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

5 authors at 1 institution in 1 country.

Daniel R JamisonDepartment of Crop, Soil, and Environmental Sciences, University of Arkansas, Fayetteville, AR 72701, USA.
Pengyin ChenDepartment of Crop, Soil, and Environmental Sciences, University of Arkansas, Fayetteville, AR 72701, USA.
Navam S HettiarachchyDepartment of Food Science, University of Arkansas, Fayetteville, AR 72704, USA.
David M MillerDepartment of Crop, Soil, and Environmental Sciences, University of Arkansas, Fayetteville, AR 72701, USA.
Ehsan ShakibaDepartment of Crop, Soil, and Environmental Sciences, University of Arkansas, Fayetteville, AR 72701, USA.ORCID 0000-0001-7264-6351
University of Arkansas at Fayetteville · US

Funding

United Soybean Board and Arkansas Soybean Promotion Board NA
6 · The paper itself

Abstract

Protein and sugar content are important seed quality traits in soybean because they improve the value and sustainability of soy food and feed products. Thus, identifying Quantitative Trait Loci (QTL) for soybean seed protein and sugar content can benefit plant breeders and the soybean market by accelerating the breeding process via marker-assisted selection. For this study, a population of recombinant inbred lines (RILs) was developed from a cross between R08-3221 (high protein and low sucrose) and R07-2000 (high sucrose and low protein). Phenotypic data for protein content were taken from the F2:4 and F2:5 generations. The DA7250 NIR analyzer and HPLC instruments were used to analyze total seed protein and sucrose content. Genotypic data were generated using analysis via the SoySNP6k chip. A total of four QTLs were identified in this study. Two QTLs for protein content were located on chromosomes 11 and 20, and two QTLs associated with sucrose content were located on chromosomes 14 and. 11, the latter of which co-localized with detected QTLs for protein, explaining 10% of the phenotypic variation for protein and sucrose content in soybean seed within the study population. Soybean breeding programs can use the results to improve soybean seed quality.

Indexed as

QTL: quantitative trait lociRILs: recombinant inbred linesSNP: single nucleotide polymorphismsugar and protein content

Identifiers

PMID38475496
PMCPMC10934403
OpenAlexW4392193227

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.