Evidence map›Paper›PMID 37313220›Full record

ArticleMolecular breeding : new strategies in plant improvement2023

Identification of an important QTL for seed oil content in soybean.

Bing Li, Jingyu Peng, Yueying Wu, Quan Hu, Wenxuan Huang, Zhihui Yuan, Xiaofei Tang, Dan Cao, Yongguo Xue, Xiaoyan Luan and 3 more

Abstract read
In one paragraph

Article in Molecular breeding : new strategies in plant improvement, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
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  5. A R2R3-MYB Transcription Factor ofInternational journal of molecular sciences · 2025
    Article
  6. Review
  7. Genome-Wide Association Study and Marker Development forInternational journal of molecular sciences · 2024
    Article
  8. 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

13 authors.

Bing Li *College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193 China.
Jingyu Peng *College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193 China.
Yueying WuCollege of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193 China.
Quan HuCollege of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193 China.
Wenxuan HuangCollege of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193 China.
Zhihui YuanCollege of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193 China.
Xiaofei TangInstitute of Soybean Research, Heilongjiang Provincial Academy of Agricultural Sciences, Harbin, 150086 China.
Dan CaoInstitute of Soybean Research, Heilongjiang Provincial Academy of Agricultural Sciences, Harbin, 150086 China.
Yongguo XueInstitute of Soybean Research, Heilongjiang Provincial Academy of Agricultural Sciences, Harbin, 150086 China.
Xiaoyan LuanInstitute of Soybean Research, Heilongjiang Provincial Academy of Agricultural Sciences, Harbin, 150086 China.
Jingjing HouCollege of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193 China.
Xinlei LiuInstitute of Soybean Research, Heilongjiang Provincial Academy of Agricultural Sciences, Harbin, 150086 China.
Lianjun SunCollege of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193 China.ORCID 0000-0003-1541-6837

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Seed oil content is one of the most important quantitative traits in soybean ( Supplementary Information: The online version contains supplementary material available at 10.1007/s11032-023-01384-2.

Indexed as

Genetic mapQuantitative trait lociSeed oil contentSoybean

Identifiers

PMID37313220
PMCPMC10248617

What OpenQuestion holds

Textmetadata
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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.