Evidence map›Paper›PMID 40898029›Full record

ArticleBMC plant biology2025

Seed phenotype and maturity groups as determinants of protein, oil, and fatty acid composition patterns in diverse soybean germplasm.

Ahmed M Abdelghany, Shengrui Zhang, Jing Li, Bin Li, Junming Sun

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC plant biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
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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

5 authors.

Ahmed M AbdelghanyThe State Key Laboratory of Crop Gene Resources and Breeding, National Engineering Laboratory for Crop Molecular Breeding, MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, 12 Zhongguancun South Street, Beijing, 100081, China.
Shengrui ZhangThe State Key Laboratory of Crop Gene Resources and Breeding, National Engineering Laboratory for Crop Molecular Breeding, MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, 12 Zhongguancun South Street, Beijing, 100081, China.
Jing LiThe State Key Laboratory of Crop Gene Resources and Breeding, National Engineering Laboratory for Crop Molecular Breeding, MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, 12 Zhongguancun South Street, Beijing, 100081, China.
Bin LiThe State Key Laboratory of Crop Gene Resources and Breeding, National Engineering Laboratory for Crop Molecular Breeding, MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, 12 Zhongguancun South Street, Beijing, 100081, China.
Junming SunThe State Key Laboratory of Crop Gene Resources and Breeding, National Engineering Laboratory for Crop Molecular Breeding, MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, 12 Zhongguancun South Street, Beijing, 100081, China. sunjunming@caas.cn.

Funding

CAAS (Chinese Academy of Agricultural Sciences) Agricultural Science and Technology Innovation Project 2060302-2Major Special Project for Biological Breeding 2023ZD04037National Natural Science Foundation of China 32161143033
6 · The paper itself

Abstract

Soybean seed physical characteristics are crucial for quality assessment, but the link between these characteristics and biochemical composition across different maturity groups (MGs) remains unclear. This study examined the relationships between seed physical characteristics (color and weight) and biochemical constituents, including oil content (OC), protein content (PC), and fatty acid (FA) composition in 191 diverse soybean accessions across eight MGs (0-VII) at three locations over two years. The results indicated that black-seeded accessions demonstrated a notably higher average of PC (47.33%) and a lower average of OC (15.78%) in contrast to yellow-seeded varieties, which had an average PC and OC of 42.52% and 19.12%, respectively. In addition, larger seeds exhibited increased OC (19.15%) and OA levels (23.27%), whereas smaller seeds revealed higher concentrations of PC (44.23%), LA (55.06%), and LNA (8.53%). Multivariate analyses, including principal component analysis, clustering heatmap, and radar plot, demonstrated distinct clustering patterns, exhibiting unique compositional profiles closely linked to seed physical characteristics. Furthermore, MGs exhibited notable correlations with LNA (R² = 0.238) and OC (R² = 0.233), especially in black-seeded and large-seeded accessions. These findings elucidate the complex interaction between seed physical traits and biochemical composition, presenting significant implications for soybean breeding programs aimed at specific quality attributes.

Indexed as

Fatty AcidsGlycine maxPlant OilsPlant ProteinsSeedsPhenotypeFatty AcidsPlant OilsPlant ProteinsGlycine maxMaturity groupsMultivariate analysisSeed coat colorSeed compositionSeed weight

Identifiers

PMID40898029
PMCPMC12403403

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Registered trials

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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.