Evidence map›Paper›PMID 29176820›Full record

ArticlePloS one2017

Genome-wide association study for grain yield and related traits in elite wheat varieties and advanced lines using SNP markers.

Sheng-Xing Wang, Yu-Lei Zhu, De-Xin Zhang, Hui Shao, Peng Liu, Jian-Bang Hu, Heng Zhang, Hai-Ping Zhang, Cheng Chang, Jie Lu and 3 more

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing 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

52 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Elucidating the Genetic Relationships on the Original Old SicilianInternational journal of molecular sciences · 2022
    Article
  14. Article
  15. Article
  16. Article
  17. GWAS for main effects and epistatic interactions for grain morphology traits in wheat.Physiology and molecular biology of plants : an international journal of functional plant biology · 2022
    Article
  18. Article
  19. Article
  20. 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

13 authors.

Sheng-Xing WangCollege of Agronomy, Anhui Agricultural University; Key Laboratory of Wheat Biology and Genetic Improvement in the Southern Yellow & Huai River Valley, Ministry of Agriculture, Hefei, Anhui, China.
Yu-Lei ZhuCollege of Agronomy, Anhui Agricultural University; Key Laboratory of Wheat Biology and Genetic Improvement in the Southern Yellow & Huai River Valley, Ministry of Agriculture, Hefei, Anhui, China.
De-Xin ZhangCollege of Agronomy, Anhui Agricultural University; Key Laboratory of Wheat Biology and Genetic Improvement in the Southern Yellow & Huai River Valley, Ministry of Agriculture, Hefei, Anhui, China.
Hui ShaoCollege of Agronomy, Anhui Agricultural University; Key Laboratory of Wheat Biology and Genetic Improvement in the Southern Yellow & Huai River Valley, Ministry of Agriculture, Hefei, Anhui, China.
Peng LiuCollege of Agronomy, Anhui Agricultural University; Key Laboratory of Wheat Biology and Genetic Improvement in the Southern Yellow & Huai River Valley, Ministry of Agriculture, Hefei, Anhui, China.
Jian-Bang HuCollege of Agronomy, Anhui Agricultural University; Key Laboratory of Wheat Biology and Genetic Improvement in the Southern Yellow & Huai River Valley, Ministry of Agriculture, Hefei, Anhui, China.
Heng ZhangCollege of Agronomy, Anhui Agricultural University; Key Laboratory of Wheat Biology and Genetic Improvement in the Southern Yellow & Huai River Valley, Ministry of Agriculture, Hefei, Anhui, China.
Hai-Ping ZhangCollege of Agronomy, Anhui Agricultural University; Key Laboratory of Wheat Biology and Genetic Improvement in the Southern Yellow & Huai River Valley, Ministry of Agriculture, Hefei, Anhui, China.ORCID http://orcid.org/0000-0002-3566-470X
Cheng ChangCollege of Agronomy, Anhui Agricultural University; Key Laboratory of Wheat Biology and Genetic Improvement in the Southern Yellow & Huai River Valley, Ministry of Agriculture, Hefei, Anhui, China.
Jie LuCollege of Agronomy, Anhui Agricultural University; Key Laboratory of Wheat Biology and Genetic Improvement in the Southern Yellow & Huai River Valley, Ministry of Agriculture, Hefei, Anhui, China.
Xian-Chun XiaInstitute of Crop Science, National Wheat Improvement Centre/The National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China.
Gen-Lou SunCollege of Agronomy, Anhui Agricultural University; Key Laboratory of Wheat Biology and Genetic Improvement in the Southern Yellow & Huai River Valley, Ministry of Agriculture, Hefei, Anhui, China.
Chuan-Xi MaCollege of Agronomy, Anhui Agricultural University; Key Laboratory of Wheat Biology and Genetic Improvement in the Southern Yellow & Huai River Valley, Ministry of Agriculture, Hefei, Anhui, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic improvement of grain yield is always an important objective in wheat breeding. Here, a genome-wide association study was conducted to parse the complex genetic composition of yield-related traits of 105 elite wheat varieties (lines) using the Wheat 90K Illumina iSelect SNP array. Nine yield-related traits, including maximum number of shoots per square meter (MSN), effective number of spikes per square meter (ESN), percentage of effective spike (PES), number of kernels per spike (KPS), thousand-kernel weight (TKW), the ratio of kernel length/kernel width (RLW), leaf-area index (LAI), plant height (PH), and grain yield (GY), were evaluated across four environments. Twenty four highly significant marker-trait associations (MTAs) (P < 0.001) were identified for nine yield-related traits on chromosomes 1A, 1D, 2A (2), 3B, 4A (2), 4B, 5A (4), 5B (4), 5D, 6B (2), 7A (2), and 7B (3), explaining 10.86-20.27% of the phenotypic variations. Of these, four major loci were identified in more than three environments, including one locus for RLW (6B), one locus for TKW (7A), and two loci for PH (7B). A cleaved amplified polymorphic sequence (CAPS) marker Td99211 for TKW on chromosome 5A was developed and validated in both a natural population composed of 372 wheat varieties (lines) and a RIL population derived from the cross of Yangxiaomai × Zhongyou 9507. The CAPS marker developed can be directly used for marker-assisted selection in wheat breeding, and the major MTAs identified can provide useful information for fine-mapping of the target genes in future studies.

Indexed as

Genome-Wide Association StudyQuantitative Trait, HeritableAllelesBase SequenceChromosomes, PlantGenetic MarkersGenetics, PopulationModels, GeneticPhenotypePolymorphism, GeneticPolymorphism, Single NucleotidePrincipal Component AnalysisReproducibility of ResultsSeedsTriticumGenetic Markers

Identifiers

PMID29176820
PMCPMC5703539

What OpenQuestion 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 OpenQuestion graph.