Evidence map›Paper›PMID 42075394›Full record

ArticlePlants (Basel, Switzerland)2026

Identifying Candidate Genes for Cotton Fruit Branch Length Using BSA-Seq and RNA-Seq.

Penglong Wang, Yanlong Yang, Guoyong Fu, Yang Jiao, Zhenzhen Wang, Jun Ma, Chengxia Lai, Chunping Li, Haijiang Xu, Yunlong Zhai

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Plants (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Penglong WangCollege of Agriculture, Tarim University, Alar 843300, China.
Yanlong YangXinjiang Key Laboratory of Cotton Genetic Improvement and Intelligent Production, Xinjiang Cotton Technology Innovation Center, Cotton Research Institute of Academy of Agricultural Sciences of Xinjiang Uyghur Autonomous Region (National Cotton Engineering Technology Research Center), Urumqi 830091, China.
Guoyong FuXinjiang Key Laboratory of Cotton Genetic Improvement and Intelligent Production, Xinjiang Cotton Technology Innovation Center, Cotton Research Institute of Academy of Agricultural Sciences of Xinjiang Uyghur Autonomous Region (National Cotton Engineering Technology Research Center), Urumqi 830091, China.
Yang JiaoXinjiang Key Laboratory of Cotton Genetic Improvement and Intelligent Production, Xinjiang Cotton Technology Innovation Center, Cotton Research Institute of Academy of Agricultural Sciences of Xinjiang Uyghur Autonomous Region (National Cotton Engineering Technology Research Center), Urumqi 830091, China.ORCID 0000-0003-4666-7313
Zhenzhen WangXinjiang Key Laboratory of Cotton Genetic Improvement and Intelligent Production, Xinjiang Cotton Technology Innovation Center, Cotton Research Institute of Academy of Agricultural Sciences of Xinjiang Uyghur Autonomous Region (National Cotton Engineering Technology Research Center), Urumqi 830091, China.
Jun MaXinjiang Key Laboratory of Cotton Genetic Improvement and Intelligent Production, Xinjiang Cotton Technology Innovation Center, Cotton Research Institute of Academy of Agricultural Sciences of Xinjiang Uyghur Autonomous Region (National Cotton Engineering Technology Research Center), Urumqi 830091, China.
Chengxia LaiXinjiang Key Laboratory of Cotton Genetic Improvement and Intelligent Production, Xinjiang Cotton Technology Innovation Center, Cotton Research Institute of Academy of Agricultural Sciences of Xinjiang Uyghur Autonomous Region (National Cotton Engineering Technology Research Center), Urumqi 830091, China.
Chunping LiXinjiang Key Laboratory of Cotton Genetic Improvement and Intelligent Production, Xinjiang Cotton Technology Innovation Center, Cotton Research Institute of Academy of Agricultural Sciences of Xinjiang Uyghur Autonomous Region (National Cotton Engineering Technology Research Center), Urumqi 830091, China.
Haijiang XuXinjiang Key Laboratory of Cotton Genetic Improvement and Intelligent Production, Xinjiang Cotton Technology Innovation Center, Cotton Research Institute of Academy of Agricultural Sciences of Xinjiang Uyghur Autonomous Region (National Cotton Engineering Technology Research Center), Urumqi 830091, China.
Yunlong ZhaiCollege of Agriculture, Tarim University, Alar 843300, China.ORCID 0000-0001-5822-5921

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fruit branch length in cotton is a key trait influencing plant architecture and suitability for mechanisation; elucidating its molecular regulatory mechanisms is crucial for breeding varieties with desirable plant architecture. In this study, an F

Indexed as

BSA-Seqcandidate genescottonfruit branch lengthRNA-Seq

Identifiers

PMID42075394
PMCPMC13119465

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.