Evidence map›Paper›PMID 41010356›Full record

ArticleLife (Basel, Switzerland)2025

Jinyuan 601 a Novel High-Protein Soybean Variety with Improved Agronomic Traits and Nutritional Quality.

Xinyu Wei, Xiaoguang Yu, Xiangjin Chen, Shaobin Cui, Jieyin Cui, Ran Wei, Henan Diao, Honglei Ren, Wencheng Lu, Xiaodong Tang

Abstract read
In one paragraph

Article in Life (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Xinyu WeiHeihe Branch Institute, Heilongjiang Academy of Agricultural Sciences, Heihe 164399, China.
Xiaoguang YuHeihe Branch Institute, Heilongjiang Academy of Agricultural Sciences, Heihe 164399, China.
Xiangjin ChenHeihe Branch Institute, Heilongjiang Academy of Agricultural Sciences, Heihe 164399, China.
Shaobin CuiHeihe Branch Institute, Heilongjiang Academy of Agricultural Sciences, Heihe 164399, China.
Jieyin CuiHeihe Branch Institute, Heilongjiang Academy of Agricultural Sciences, Heihe 164399, China.
Ran WeiHeihe Branch Institute, Heilongjiang Academy of Agricultural Sciences, Heihe 164399, China.
Henan DiaoHeihe Branch Institute, Heilongjiang Academy of Agricultural Sciences, Heihe 164399, China.
Honglei RenSoybean Research Institute, Heilongjiang Academy of Agriculture Sciences, Harbin 150086, China.ORCID 0009-0005-6846-3479
Wencheng LuHeihe Branch Institute, Heilongjiang Academy of Agricultural Sciences, Heihe 164399, China.
Xiaodong TangSoybean Research Institute, Heilongjiang Academy of Agriculture Sciences, Harbin 150086, China.

Funding

Biological Breeding-National Science and Technology Major Project 2023ZD040301The 2024 Science and Technology Support Project of the Inner Mongolia Innovation Center of Bi-ological Breeding Technology, Biotechnology-Based Breeding of High-Quality Soybeans and Ap-plication Demonstration 2024NSZC04
6 · The paper itself

Abstract

The global demand for high-protein soybeans is rapidly increasing, driven by the growing popularity of healthy foods and plant-based protein products. To address this demand, a novel high-protein soybean variety, Jinyuan 601, was developed through a systematic breeding program. This study details the breeding process, agronomic characteristics, and performance evaluation of Jinyuan 601, which was derived from a cross between Heihe YX10-534 (female parent) and Heihe No. 45 (male parent). The variety was selected over multiple generations (F

Indexed as

agronomic traitscrop improvementcultivar developmentfood securityGlycine maxprotein content

Identifiers

PMID41010356
PMCPMC12471822

What OpenQuestion holds

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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.