Evidence map›Paper›PMID 28729875›Full record

ReviewFrontiers in plant science2017

Searching for an Accurate Marker-Based Prediction of an Individual Quantitative Trait in Molecular Plant Breeding.

Yong-Bi Fu, Mo-Hua Yang, Fangqin Zeng, Bill Biligetu

Abstract readReview
In one paragraph

Review in Frontiers in plant science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Chile Pepper (Frontiers in plant science · 2022
    Review
  9. Review
  10. Functional Markers for Precision Plant Breeding.International journal of molecular sciences · 2020
    Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. 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

4 authors.

Yong-Bi FuPlant Gene Resources of Canada, Saskatoon Research and Development Centre, Agriculture and Agri-Food Canada, SaskatoonSK, Canada.
Mo-Hua YangPlant Gene Resources of Canada, Saskatoon Research and Development Centre, Agriculture and Agri-Food Canada, SaskatoonSK, Canada.
Fangqin ZengPlant Gene Resources of Canada, Saskatoon Research and Development Centre, Agriculture and Agri-Food Canada, SaskatoonSK, Canada.
Bill BiligetuDepartment of Plant Sciences, University of Saskatchewan, SaskatoonSK, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular plant breeding with the aid of molecular markers has played an important role in modern plant breeding over the last two decades. Many marker-based predictions for quantitative traits have been made to enhance parental selection, but the trait prediction accuracy remains generally low, even with the aid of dense, genome-wide SNP markers. To search for more accurate trait-specific prediction with informative SNP markers, we conducted a literature review on the prediction issues in molecular plant breeding and on the applicability of an RNA-Seq technique for developing function-associated specific trait (FAST) SNP markers. To understand whether and how FAST SNP markers could enhance trait prediction, we also performed a theoretical reasoning on the effectiveness of these markers in a trait-specific prediction, and verified the reasoning through computer simulation. To the end, the search yielded an alternative to regular genomic selection with FAST SNP markers that could be explored to achieve more accurate trait-specific prediction. Continuous search for better alternatives is encouraged to enhance marker-based predictions for an individual quantitative trait in molecular plant breeding.

Indexed as

breedingfunctional markergenomic selectionmarker-assisted selectionquantitative traitRNA-Seqtrait-specific marker selection

Identifiers

PMID28729875
PMCPMC5498511

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.