Evidence map›Paper›PMID 19160058›Full record

ArticleGenetica2009

Association mapping of agronomic traits on chromosome 2A of wheat.

Ji Yao, Lixin Wang, Lihua Liu, Changping Zhao, Yonglian Zheng

Abstract read
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In one paragraph

Article in Genetica, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Regions of Chromosome 2A of Bread Wheat (Plants (Basel, Switzerland) · 2021
    Article
  6. Identification of QTLs for resistance to leaf spots in cultivated peanut (Arachis hypogaea L.) through GWAS analysis.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020
    Article
  7. Genetic architecture underpinning yield component traits in wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020
    Review
  8. Article
  9. Article
  10. Article
  11. Genetic dissection of wheat panicle traits using linkage analysis and a genome-wide association study.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2018
    Article
  12. 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

5 authors.

Ji YaoNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, 430070 Wuhan, China. yaojihzau@gmail.com
Lixin Wang
Lihua Liu
Changping Zhao
Yonglian Zheng

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Association mapping is a method to test the association between molecular markers and quantitative trait loci (QTL) based on linkage disequilibrium (LD). In this study, the collection of 108 wheat germplasm accessions form China were evaluated for their plant heights, spike length, spikelets per spike, grains per spike, thousand kernel weight and spikelets density in 3 years at three locations. And they were genotyped with 85 SSR markers and 40 EST-SSR markers. The population structure was inferred on the basis of unlinked 48 SSR markers and 40 EST-SSR markers. The extent of LD on chromosome 2A was 2.3 cM. Association of 37 SSR loci on chromosomes 2A with six agronomic traits was analysed with a mixed linear model. A total of 14 SSR loci were significantly associated with agronomic traits. Some of the associated markers were located in the QTL region detected in previous linkage mapping analysis. Our results demonstrated that association mapping can enhance QTL information and achieves higher resolution with short LD extent.

Indexed as

Genome-Wide Association StudyChromosomes, PlantGenetic MarkersGenetic VariationLinkage DisequilibriumPolyploidyQuantitative Trait LociTriticumGenetic Markers

Identifiers

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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.