Evidence map›Paper›PMID 33096978›Full record

ArticleBMC plant biology2020

Genomic regions associated with important seed quality traits in food-grade soybeans.

Rachel M Whiting, Sepideh Torabi, Lewis Lukens, Milad Eskandari

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

15 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Fine Mapping ofPlants (Basel, Switzerland) · 2025
    Article
  4. QTL mapping and multi-omics identify candidate genes for protein and oil in soybean.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Article
  5. Article
  6. Article
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  8. Article
  9. Detection of two homologous major QTLs and development of diagnostic molecular markers for sucrose content in peanut.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
    Article
  10. Genetic mapping and functional genomics of soybean seed protein.Molecular breeding : new strategies in plant improvement · 2023
    Article
  11. Review
  12. Genetic analysis of sucrose concentration in soybean seeds using a historical soybean genomic panel.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022
    Article
  13. Article
  14. Article
  15. 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

4 authors at 1 institution in 1 country.

Rachel M WhitingDepartment of Plant Agriculture, University of Guelph, Guelph, ON, Canada.
Sepideh TorabiDepartment of Plant Agriculture, University of Guelph, Guelph, ON, Canada.
Lewis LukensDepartment of Plant Agriculture, University of Guelph, Guelph, ON, Canada.
Milad EskandariDepartment of Plant Agriculture, University of Guelph, Guelph, ON, Canada. meskanda@uoguelph.ca.ORCID http://orcid.org/0000-0003-0862-4048
University of Guelph · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe production of soy-based food products requires specific physical and chemical characteristics of the soybean seed. Identification of quantitative trait loci (QTL) associated with value-added traits, such as seed weight, seed protein and sucrose concentration, could accelerate the development of competitive high-protein soybean cultivars for the food-grade market through marker-assisted selection (MAS). The objectives of this study were to identify and validate QTL associated with these value-added traits in two high-protein recombinant inbred line (RIL) populations.

resultsThe RIL populations were derived from the high-protein cultivar 'AC X790P' (49% protein, dry weight basis), and two high-yielding commercial cultivars, 'S18-R6' (41% protein) and 'S23-T5' (42% protein). Fourteen large-effect QTL (R

conclusionThe use of RIL populations derived from high-protein parents created an opportunity to identify four novel QTL that may have been masked by large-effect QTL segregating in populations developed from diverse parental cultivars. In total, we have identified nine protein QTL that were detected either in both populations in the current study or reported in other studies. These QTL may be useful in the curated selection of new soybean cultivars for optimized soy-based food products.

Indexed as

Chromosome MappingGenes, PlantGenome, PlantGlycine maxNutritive ValuePlants, Genetically ModifiedPolymorphism, Single NucleotideQuantitative Trait, HeritableQuantitative Trait LociSeedsSeed Storage ProteinsSeed Storage ProteinsCandidate genesFood-grade soybeanLinkage analysisProteinSeed weightSucrose

Identifiers

PMID33096978
PMCPMC7583236
OpenAlexW3094075019

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.