Evidence map›Paper›PMID 37312867›Full record

ArticleMolecular breeding : new strategies in plant improvement2023

Candidate loci for breeding compact plant-type soybean varieties.

Lingping Kong, Yanping Wang, Liyu Chen, Ran Fang, Yaru Li, Chao Fang, Lidong Dong, Xiaohui Yuan, Fanjiang Kong, Baohui Liu and 2 more

Open access · greenAbstract read
PubMed Full text at PMC Publisher
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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 25% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  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

12 authors at 4 institutions in 1 country.

Lingping Kong *Guangdong Key Laboratory of Plant Adaptation and Molecular Design, School of Life Sciences, Guangzhou University, Guangzhou, China.ORCID 0000-0001-7787-0088
Yanping Wang *Heilongjiang Academy of Agricultural Sciences, Mudanjiang, China.
Liyu Chen *Guangdong Key Laboratory of Plant Adaptation and Molecular Design, School of Life Sciences, Guangzhou University, Guangzhou, China.
Ran Fang *Guangdong Key Laboratory of Plant Adaptation and Molecular Design, School of Life Sciences, Guangzhou University, Guangzhou, China.
Yaru LiGuangdong Key Laboratory of Plant Adaptation and Molecular Design, School of Life Sciences, Guangzhou University, Guangzhou, China.
Chao FangGuangdong Key Laboratory of Plant Adaptation and Molecular Design, School of Life Sciences, Guangzhou University, Guangzhou, China.
Lidong DongGuangdong Key Laboratory of Plant Adaptation and Molecular Design, School of Life Sciences, Guangzhou University, Guangzhou, China.
Xiaohui YuanSchool of Computer Science and Technology, Wuhan University of Technology, Wuhan, China.
Fanjiang KongGuangdong Key Laboratory of Plant Adaptation and Molecular Design, School of Life Sciences, Guangzhou University, Guangzhou, China.
Baohui LiuGuangdong Key Laboratory of Plant Adaptation and Molecular Design, School of Life Sciences, Guangzhou University, Guangzhou, China.
Qun ChengGuangdong Key Laboratory of Plant Adaptation and Molecular Design, School of Life Sciences, Guangzhou University, Guangzhou, China.
Sijia LuGuangdong Key Laboratory of Plant Adaptation and Molecular Design, School of Life Sciences, Guangzhou University, Guangzhou, China.
Guangzhou University · CNChinese Academy of Sciences · CNHeilongjiang Provincial Academy of Agricultural Sciences · CNWuhan University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plant height and node number are important agronomic traits that influence yield in soybean ( Supplementary Information: The online version contains supplementary material available at 10.1007/s11032-022-01352-2.

Indexed as

Internode lengthNode numberPlant heightQuantitative trait locusSoybean

Identifiers

PMID37312867
PMCPMC10248646
OpenAlexW4315865955

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.