Evidence map›Paper›PMID 35769298›Full record

ArticleFrontiers in plant science2022

Detection of Stable Elite Haplotypes and Potential Candidate Genes of Boll Weight Across Multiple Environments via GWAS in Upland Cotton.

Zhen Feng, Libei Li, Minqiang Tang, Qibao Liu, Zihan Ji, Dongli Sun, Guodong Liu, Shuqi Zhao, Chenjue Huang, Yanan Zhang and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
4.0field-weighted citation impact, top 7% 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

11 citing papers in PubMed, 17 citations in OpenAlex.

  1. The Gibberellin 2-Oxidase GeneInternational journal of molecular sciences · 2026
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  3. Genome-wide association study reveals novel SNP loci and candidate genes linked to flowering time in upland cotton.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
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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 3 institutions in 1 country.

Zhen FengCollege of Advanced Agriculture Sciences, Zhejiang A&F University, Hangzhou, China.
Libei LiCollege of Advanced Agriculture Sciences, Zhejiang A&F University, Hangzhou, China.
Minqiang TangKey Laboratory of Genetics and Germplasm Innovation of Tropical Special Forest Trees and Ornamental Plants (Ministry of Education), College of Forestry, Hainan University, Haikou, China.
Qibao LiuCollege of Advanced Agriculture Sciences, Zhejiang A&F University, Hangzhou, China.
Zihan JiCollege of Advanced Agriculture Sciences, Zhejiang A&F University, Hangzhou, China.
Dongli SunCollege of Advanced Agriculture Sciences, Zhejiang A&F University, Hangzhou, China.
Guodong LiuInstitute of Industrial Crops, Shandong Academy of Agricultural Sciences, Jinan, China.
Shuqi ZhaoHuanggang Academy of Agricultural Sciences, Huanggang, China.
Chenjue HuangCollege of Advanced Agriculture Sciences, Zhejiang A&F University, Hangzhou, China.
Yanan ZhangCollege of Advanced Agriculture Sciences, Zhejiang A&F University, Hangzhou, China.
Guizhi ZhangInstitute of Industrial Crops, Shandong Academy of Agricultural Sciences, Jinan, China.
Shuxun YuCollege of Advanced Agriculture Sciences, Zhejiang A&F University, Hangzhou, China.
Zhejiang A & F University · CNShandong Academy of Agricultural Sciences · CNHainan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Boll weight (BW) is a key determinant of yield component traits in cotton, and understanding the genetic mechanism of BW could contribute to the progress of cotton fiber yield. Although many yield-related quantitative trait loci (QTLs) responsible for BW have been determined, knowledge of the genes controlling cotton yield remains limited. Here, association mapping based on 25,169 single-nucleotide polymorphisms (SNPs) and 2,315 insertions/deletions (InDels) was conducted to identify high-quality QTLs responsible for BW in a global collection of 290 diverse accessions, and BW was measured in nine different environments. A total of 19 significant markers were detected, and 225 candidate genes within a 400 kb region (± 200 kb surrounding each locus) were predicted. Of them, two major QTLs with highly phenotypic variation explanation on chromosomes A08 and D13 were identified among multiple environments. Furthermore, we found that two novel candidate genes (

Indexed as

association mappingboll weightcandidate genesMASSNP

Identifiers

PMID35769298
PMCPMC9234699
OpenAlexW4282580474

What OpenQuestion holds

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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.