Evidence map›Paper›PMID 22820969›Full record

ArticlePlanta2012

Identifying loci influencing grain number by microsatellite screening in bread wheat (Triticum aestivum L.).

Dongling Zhang, Chenyang Hao, Lanfen Wang, Xueyong Zhang

Abstract read
PubMed Publisher
In one paragraph

Article in Planta, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
  2. Article
  3. Genome-wide association study and genomic selection of spike-related traits in bread wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
    Article
  4. Characterization and fine mapping analysis of a major stable QTL qKnps-4A for kernel number per spike in wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023
    Article
  5. Article
  6. Article
  7. Frontiers in genetics · 2022
    Article
  8. Article
  9. Article
  10. Genetic architecture underpinning yield component traits in wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020
    Review
  11. Article
  12. A wheat protein kinase gene TaSnRK2.9-5A associated with yield contributing traits.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2019
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  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

4 authors.

Dongling ZhangKey Laboratory of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture, The National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China. zhangdongling1207@126.com
Chenyang Hao
Lanfen Wang
Xueyong Zhang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Grain number (GN) is one of three major yield-related components in wheat. We used the Chinese wheat mini core collection to undertake a genome-wide association analysis of grain number using 531 SSR markers randomly located on all 21 chromosomes. Grain numbers of all accessions were measured in four trials, i.e. two environments in four growing seasons. Association analysis based on a mixed linear model (MLM) revealed that 27 SSR loci were significantly associated with mean GN (MGN) estimated by the best linear unbiased predictor (BLUP) method. These included numerous breeder favorable alleles with strong positive effects at 23 loci. Significant or extremely significant differences were detected on MGN between varieties conveying favored allele and varieties with other alleles. Moreover, statistical simulation showed that the favored alleles have additive genetic effects. Although modern varieties combined larger numbers of favored alleles, the numbers of favored alleles were not significantly different from those in landraces, especially those alleles contributing mostly to the phenotypic variation. These results indicate that there is still considerable genetic potential for use of markers for genome selection of GN for high yield in wheat.

Indexed as

Microsatellite RepeatsAllelesGenetic LociGenome-Wide Association StudyLinear ModelsPhenotypeSeedsTriticum

Identifiers

What OpenQuestion holds

Textmetadata
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.