Evidence map›Paper›PMID 27924947›Full record

ArticleScientific reports2016

Two genomic regions associated with fiber quality traits in Chinese upland cotton under apparent breeding selection.

Junji Su, Libei Li, Chaoyou Pang, Hengling Wei, Caixiang Wang, Meizhen Song, Hantao Wang, Shuqi Zhao, Chi Zhang, Guangzhi Mao and 4 more

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
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  8. Genome-wide association mapping for agronomic traits in an 8-way Upland cotton MAGIC population by SLAF-seq.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021
    Article
  9. Article
  10. Review
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  12. Article
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  15. Article
  16. Fiber Quality Improvement in Upland Cotton (Frontiers in plant science · 2019
    Review
  17. Article
  18. Article
  19. Article
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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

14 authors.

Junji SuState Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, 455000, Anyang, China.
Libei LiState Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, 455000, Anyang, China.
Chaoyou PangState Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, 455000, Anyang, China.
Hengling WeiState Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, 455000, Anyang, China.
Caixiang WangState Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, 455000, Anyang, China.
Meizhen SongState Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, 455000, Anyang, China.
Hantao WangState Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, 455000, Anyang, China.
Shuqi ZhaoState Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, 455000, Anyang, China.
Chi ZhangState Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, 455000, Anyang, China.
Guangzhi MaoState Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, 455000, Anyang, China.
Long HuangBioinformatics Division, Biomarker Technologies Corporation, 101300 Beijing, China.
Chengshe WangCollege of Agronomy, Northwest A&F University, 712100 Yangling, China.
Shuli FanState Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, 455000, Anyang, China.
Shuxun YuState Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, 455000, Anyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fiber quality is one of the most important agronomic traits of cotton, and understanding the genetic basis of its target traits will accelerate improvements to cotton fiber quality. In this study, a panel comprising 355 upland cotton accessions was used to perform genome-wide association studies (GWASs) of five fiber quality traits in four environments. A total of 16, 10 and 7 SNPs were associated with fiber length (FL), fiber strength (FS) and fiber uniformity (FU), respectively, based on the mixed linear model (MLM). Most importantly, two major genomic regions (MGR1 and MGR2) on chromosome D

Indexed as

BreedingCotton FiberEcosystemGenome, PlantQuantitative Trait, HeritableChinaChromosomes, PlantGenetics, PopulationGenome-Wide Association StudyGeographyGossypiumHaplotypesLinkage DisequilibriumPhenotypePolymorphism, Single NucleotideQuantitative Trait Loci

Identifiers

PMID27924947
PMCPMC5141495

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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.