Evidence map›Paper›PMID 39409683›Full record

ArticlePlants (Basel, Switzerland)2024

Screening Germplasms and Detecting Quantitative Trait Loci for High Sucrose Content in Soybean.

Se-Hee Kang, Seo-Young Shin, Byeong Hee Kang, Sreeparna Chowdhury, Won-Ho Lee, Woon Ji Kim, Jeong-Dong Lee, Sungwoo Lee, Yu-Mi Choi, Bo-Keun Ha

Abstract 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. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

10 authors.

Se-Hee KangDepartment of Applied Plant Science, Chonnam National University, Gwangju 61186, Republic of Korea.
Seo-Young ShinDepartment of Applied Plant Science, Chonnam National University, Gwangju 61186, Republic of Korea.
Byeong Hee KangDepartment of Applied Plant Science, Chonnam National University, Gwangju 61186, Republic of Korea.ORCID 0009-0006-0446-1842
Sreeparna ChowdhuryDepartment of Applied Plant Science, Chonnam National University, Gwangju 61186, Republic of Korea.
Won-Ho LeeDepartment of Applied Plant Science, Chonnam National University, Gwangju 61186, Republic of Korea.
Woon Ji KimAdvanced Radiation Technology Institute, Korea Atomic Energy Research Institute, Jeongeup 56212, Republic of Korea.ORCID 0009-0009-6894-6138
Jeong-Dong LeeDepartment of Applied Biosciences, Kyungpook National University, Daegu 41566, Republic of Korea.ORCID 0000-0003-3474-0384
Sungwoo LeeDepartment of Crop Science, College of Agriculture and Life Sciences, Chungnam National University, Daejeon 34134, Republic of Korea.ORCID 0000-0003-3564-2364
Yu-Mi ChoiNational Agrobiodiversity Center, National Institute of Agricultural Sciences, RDA, Jeonju 54874, Republic of Korea.
Bo-Keun HaDepartment of Applied Plant Science, Chonnam National University, Gwangju 61186, Republic of Korea.ORCID 0000-0002-2295-365X

Funding

National Research Foundation of Korea RS-2023-00243197Rural Development Administration RS-2019-RD008897
6 · The paper itself

Abstract

Sucrose is a desirable component of processed soybean foods and animal feed, and thus, its content is used as an important characteristic for assessing the quality of soybean seeds. However, few studies have focused on the quantitative trait loci (QTLs) associated with sucrose regulation in soybean seeds. This study aims to measure the sucrose content of 1014 soybean accessions and identify genes related to high sucrose levels using QTL analysis. Colorimetric analysis based on the enzymatic reaction of invertase (INV) and glucose oxidase (GOD) was employed to test the germplasms. A total of six high-sucrose genetic resources (IT186230, IT195321, IT263138, IT263276, IT263286, and IT276521) and two low-sucrose genetic resources (IT025668 and IT274054) were identified. Two F

Indexed as

germplasmglucose oxidaseinvertasequantitative trait locussoybeansucrose

Identifiers

PMID39409683
PMCPMC11478759

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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.