Evidence map›Paper›PMID 38084377›Full record

ReviewThe plant genome2023

Soybean genetics, genomics, and breeding for improving nutritional value and reducing antinutritional traits in food and feed.

William M Singer, Yi-Chen Lee, Zachary Shea, Caio Canella Vieira, Dongho Lee, Xiaoying Li, Mia Cunicelli, Shaila S Kadam, Mohammad Aamir Waseem Khan, Grover Shannon and 3 more

Open access · goldAbstract readReview
In one paragraph

Review in The plant genome, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
15.1field-weighted citation impact, top 1% 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

20 citing papers in PubMed, 38 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
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  12. Review
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  17. Review
  18. Article
  19. Functional Characterization of the SoybeanPlants (Basel, Switzerland) · 2024
    Article
  20. Review
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

13 authors at 6 institutions in 1 country.

William M SingerSchool of Plant and Environmental Sciences, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, USA.ORCID 0000-0002-6149-6797
Yi-Chen LeeDepartment of Agriculture, Fort Hays State University, Hays, Kansas, USA.
Zachary SheaSchool of Plant and Environmental Sciences, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, USA.
Caio Canella VieiraDepartment of Crop, Soil, and Environmental Sciences, University of Arkansas, Fayetteville, Arkansas, USA.
Dongho LeeFisher Delta Research, Extension, and Education Center, University of Missouri, Portageville, Missouri, USA.
Xiaoying LiSchool of Plant and Environmental Sciences, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, USA.
Mia CunicelliSoybean and Nitrogen Fixation Research Unit, USDA-ARS, Raleigh, North Carolina, USA.
Shaila S KadamDivision of Plant Science and Technology, University of Missouri, Columbia, Missouri, USA.
Mohammad Aamir Waseem KhanDivision of Plant Science and Technology, University of Missouri, Columbia, Missouri, USA.ORCID 0000-0001-9734-8123
Grover ShannonFisher Delta Research, Extension, and Education Center, University of Missouri, Portageville, Missouri, USA.
M A Rouf MianSoybean and Nitrogen Fixation Research Unit, USDA-ARS, Raleigh, North Carolina, USA.
Henry T NguyenDivision of Plant Science and Technology, University of Missouri, Columbia, Missouri, USA.ORCID 0000-0002-7597-1800
Bo ZhangSchool of Plant and Environmental Sciences, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, USA.ORCID 0000-0002-0155-385X
Virginia Tech · USUniversity of Missouri · USAgricultural Research Service · USDelta Air Lines (United States) · USFort Hays State University · USUniversity of Arkansas at Fayetteville · US

Funding

United Soybean Board 2332-203-0102United Soybean Board 2333-203-0101
6 · The paper itself

Abstract

Soybean [Glycine max (L.) Merr.] is a globally important crop due to its valuable seed composition, versatile feed, food, and industrial end-uses, and consistent genetic gain. Successful genetic gain in soybean has led to widespread adaptation and increased value for producers, processors, and consumers. Specific focus on the nutritional quality of soybean seed composition for food and feed has further elucidated genetic knowledge and bolstered breeding progress. Seed components are historical and current targets for soybean breeders seeking to improve nutritional quality of soybean. This article reviews genetic and genomic foundations for improvement of nutritionally important traits, such as protein and amino acids, oil and fatty acids, carbohydrates, and specific food-grade considerations; discusses the application of advanced breeding technology such as CRISPR/Cas9 in creating seed composition variations; and provides future directions and breeding recommendations regarding soybean seed composition traits.

Indexed as

Glycine maxPlant BreedingGenomicsNutritive ValuePhenotype

Identifiers

PMID38084377
PMCPMC12807120
OpenAlexW4389607561

What OpenQuestion holds

Textmetadata
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.