Evidence map›Paper›PMID 28936114›Full record

ArticleMolecular breeding : new strategies in plant improvement2017

Practical application of genomic selection in a doubled-haploid winter wheat breeding program.

Jiayin Song, Brett F Carver, Carol Powers, Liuling Yan, Jaroslav Klápště, Yousry A El-Kassaby, Charles Chen

Abstract read
In one paragraph

Article in Molecular breeding : new strategies in plant improvement, 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. Genome-based prediction of agronomic traits in spring wheat under conventional and organic management systems.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022
    Article
  5. Article
  6. Genome-based trait prediction in multi- environment breeding trials in groundnut.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020
    Article
  7. The value of early-stage phenotyping for wheat breeding in the age of genomic selection.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020
    Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Simultaneous selection for grain yield and protein content in genomics-assisted wheat breeding.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2019
    Article
  14. From markers to genome-based breeding in wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2019
    Review
  15. Article
  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

7 authors.

Jiayin SongForest and Conservation Sciences, Faculty of Forestry, The University of British Columbia, 2424 Main Mall, Vancouver, BC V6T 1Z4 Canada.
Brett F CarverDepartment of Plant and Soil Science, Oklahoma State University, 371 Agriculture Hall, Stillwater, OK 74078 USA.
Carol PowersDepartment of Plant and Soil Science, Oklahoma State University, 371 Agriculture Hall, Stillwater, OK 74078 USA.
Liuling YanDepartment of Plant and Soil Science, Oklahoma State University, 371 Agriculture Hall, Stillwater, OK 74078 USA.
Jaroslav KlápštěForest and Conservation Sciences, Faculty of Forestry, The University of British Columbia, 2424 Main Mall, Vancouver, BC V6T 1Z4 Canada.
Yousry A El-KassabyForest and Conservation Sciences, Faculty of Forestry, The University of British Columbia, 2424 Main Mall, Vancouver, BC V6T 1Z4 Canada.
Charles ChenDepartment of Biochemistry and Molecular Biology, Oklahoma State University, Stillwater, OK 74078 USA.ORCID 0000-0002-2203-0433

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Crop improvement is a long-term, expensive institutional endeavor. Genomic selection (GS), which uses single nucleotide polymorphism (SNP) information to estimate genomic breeding values, has proven efficient to increasing genetic gain by accelerating the breeding process in animal breeding programs. As for crop improvement, with few exceptions, GS applicability remains in the evaluation of algorithm performance. In this study, we examined factors related to GS applicability in line development stage for grain yield using a hard red winter wheat (

Indexed as

Genomic best linear unbiased predictionGenomic selectionReproducing kernel Hilbert space regressionSingle nucleotide polymorphismWheat

Identifiers

PMID28936114
PMCPMC5582076

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.