Evidence map›Paper›PMID 30158944›Full record

ArticleFrontiers in plant science2018

Genomic Prediction in Tetraploid Ryegrass Using Allele Frequencies Based on Genotyping by Sequencing.

Xiangyu Guo, Fabio Cericola, Dario Fè, Morten G Pedersen, Ingo Lenk, Christian S Jensen, Just Jensen, Lucas L Janss

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

25 citing papers in PubMed, 45 citations in OpenAlex.

  1. Article
  2. Genomic insights intoFrontiers in plant science · 2026
    Article
  3. Article
  4. Transferability of genomic prediction models across market segments in potato and the effect of selection.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Estimation of ryegrass (Frontiers in plant science · 2025
    Article
  10. Article
  11. Article
  12. Article
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  19. Review
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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

8 authors at 3 institutions in 2 countries.

Xiangyu GuoCenter for Quantitative Genetics and Genomics, Department of Molecular Biology and Genetics, Aarhus University, Aarhus, Denmark.
Fabio CericolaRijk Zwaan B.V., De Lier, Netherlands.
Dario FèResearch Division, DLF Seeds A/S, Store Heddinge, Denmark.
Morten G PedersenResearch Division, DLF Seeds A/S, Store Heddinge, Denmark.
Ingo LenkResearch Division, DLF Seeds A/S, Store Heddinge, Denmark.
Christian S JensenResearch Division, DLF Seeds A/S, Store Heddinge, Denmark.
Just JensenCenter for Quantitative Genetics and Genomics, Department of Molecular Biology and Genetics, Aarhus University, Aarhus, Denmark.
Lucas L JanssCenter for Quantitative Genetics and Genomics, Department of Molecular Biology and Genetics, Aarhus University, Aarhus, Denmark.
DLF Trifolium (Denmark) · DKAarhus University · DKRijk Zwaan (Netherlands) · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Perennial ryegrass is an outbreeding forage species and is one of the most widely used forage grasses in temperate regions. The aim of this study was to investigate the possibility of implementing genomic prediction in tetraploid perennial ryegrass, to study the effects of different sequencing depth when using genotyping-by-sequencing (GBS), and to determine optimal number of single-nucleotide polymorphism (SNP) markers and sequencing depth for GBS data when applied in tetraploids. A total of 1,515 F

Indexed as

genomic predictiongenotyping-by-sequencingryegrasssequencing depthtetraploid

Identifiers

PMID30158944
PMCPMC6104567
OpenAlexW2886380590

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.