Evidence map›Paper›PMID 29392407›Full record

ArticleMolecular genetics and genomics : MGG2018

SSR-based association mapping of fiber quality in upland cotton using an eight-way MAGIC population.

Cong Huang, Chao Shen, Tianwang Wen, Bin Gao, De Zhu, Xiaofang Li, Muhammad Mahmood Ahmed, Dingguo Li, Zhongxu Lin

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular genetics and genomics : MGG, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
6.8field-weighted citation impact, top 4% 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

14 citing papers in PubMed, 35 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Fiber Quality Improvement in Upland Cotton (Frontiers in plant science · 2019
    Review
  14. 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

9 authors at 2 institutions in 1 country.

Cong HuangNational Key Laboratory of Crop Genetic Improvement, College of Plant Sciences and Technology, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
Chao ShenNational Key Laboratory of Crop Genetic Improvement, College of Plant Sciences and Technology, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
Tianwang WenNational Key Laboratory of Crop Genetic Improvement, College of Plant Sciences and Technology, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
Bin GaoNational Key Laboratory of Crop Genetic Improvement, College of Plant Sciences and Technology, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
De ZhuNational Key Laboratory of Crop Genetic Improvement, College of Plant Sciences and Technology, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
Xiaofang LiInstitute of Crop Genetic and Breeding, Yangtze University, Jingzhou, 434025, Hubei, China.
Muhammad Mahmood AhmedNational Key Laboratory of Crop Genetic Improvement, College of Plant Sciences and Technology, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
Dingguo LiInstitute of Crop Genetic and Breeding, Yangtze University, Jingzhou, 434025, Hubei, China. 361113214@qq.com.
Zhongxu LinNational Key Laboratory of Crop Genetic Improvement, College of Plant Sciences and Technology, Huazhong Agricultural University, Wuhan, 430070, Hubei, China. linzhongxu@mail.hzau.edu.cn.ORCID http://orcid.org/0000-0002-3441-9892
Huazhong Agricultural University · CNYangtze University · CN

Funding

Special Fund for Agro-scientific Research in the Public Interest 201303008the National Natural Science Foundation of China 31371674
6 · The paper itself

Abstract

The quality of fiber is significant in the upland cotton industry. As complex quantitative traits, fiber quality traits are worth studying at a genetic level. To investigate the genetic architecture of fiber quality traits, we conducted an association analysis using a multi-parent advanced generation inter-cross (MAGIC) population developed from eight parents and comprised of 960 lines. The reliable phenotypic data for six major fiber traits of the MAGIC population were collected from five environments in three locations. Phenotypic analysis showed that the MAGIC lines have a wider variation amplitude and coefficient than the founders. A total of 284 polymorphic SSR markers among eight parents screened from a high-density genetic map were used to genotype the MAGIC population. The MAGIC population showed abundant genetic variation and fast linkage disequilibrium (LD) decay (0.76 cM, r

Indexed as

Crosses, GeneticPhenotypePolymorphism, GeneticQuantitative Trait, HeritableCotton FiberGossypiumAssociation mappingCottonFiber qualityMAGIC populationSSR

Identifiers

PMID29392407
OpenAlexW2791330596

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.