Evidence map›Paper›PMID 24326459›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2014

Construction of an integrative linkage map and QTL mapping of grain yield-related traits using three related wheat RIL populations.

Fa Cui, Chunhua Zhao, Anming Ding, Jun Li, Lin Wang, Xingfeng Li, Yinguang Bao, Junming Li, Honggang Wang

Abstract read
PubMed Publisher
In one paragraph

Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 101 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
101citing papers in PubMed, 2 pooled it
9.7field-weighted citation impact, top 2% 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

101 citing papers in PubMed, 2 syntheses or guidelines pooled it, 214 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Mapping and validation of QTkw.cau-3DL, a major QTL controlling thousand-kernel weight in wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Fine mapping of a major QTL, qKl-1BL controlling kernel length in common wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
    Article
  18. Article
  19. Article
  20. Article

41 more citing papers are in PubMed but not listed here.

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 4 institutions in 1 country.

Fa CuiState Key Laboratory of Crop Biology, Shandong Key Laboratory of Crop Biology, Tai'an Subcenter of National Wheat Improvement Center, College of Agronomy, Shandong Agricultural University, Tai'an, 271018, China, sdaucf@126.com.
Chunhua Zhao
Anming Ding
Jun Li
Lin Wang
Xingfeng Li
Yinguang Bao
Junming Li
Honggang Wang
State Key Laboratory of Crop BiologyShandong Agricultural University · CNCenter for Agricultural Resources Research · CNInstitute of Genetics and Developmental Biology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A novel high-density consensus wheat genetic map was obtained based on three related RIL populations, and the important chromosomal regions affecting yield and related traits were specified. A prerequisite for mapping quantitative trait locus (QTL) is to build a genetic linkage map. In this study, three recombinant inbred line populations (represented by WL, WY, and WJ) sharing one common parental line were used for map construction and subsequently for QTL detection of yield-related traits. PCR-based and diversity arrays technology markers were screened in the three populations. The integrated genetic map contains 1,127 marker loci, which span 2,976.75 cM for the whole genome, 985.93 cM for the A genome, 922.16 cM for the B genome, and 1,068.65 cM for the D genome. Phenotypic values were evaluated in four environments for populations WY and WJ, but three environments for population WL. Individual and combined phenotypic values across environments were used for QTL detection. A total of 165 putative additive QTL were identified, 22 of which showed significant additive-by-environment interaction effects. A total of 65 QTL (51.5%) were stable across environments, and 23 of these (35.4%) were common stable QTL that were identified in at least two populations. Notably, QTkw-5B.1, QTkw-6A.2, and QTkw-7B.1 were common major stable QTL in at least two populations, exhibiting 11.28-16.06, 5.64-18.69, and 6.76-21.16% of the phenotypic variance, respectively. Genetic relationships between kernel dimensions and kernel weight and between yield components and yield were evaluated. Moreover, QTL or regions that commonly interact across genetic backgrounds were discussed by comparing the results of the present study with those of previous similar studies. The present study provides useful information for marker-assisted selection in breeding wheat varieties with high yield.

Indexed as

Genetic LinkageGenome, PlantQuantitative Trait LociBreedingChromosome MappingGenetic MarkersGenotypePhenotypeSeedsTriticumGenetic Markers

Identifiers

PMID24326459
OpenAlexW1990360991

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.