Evidence map›Paper›PMID 29080901›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2018

Genome-wide regression models considering general and specific combining ability predict hybrid performance in oilseed rape with similar accuracy regardless of trait architecture.

Christian R Werner, Lunwen Qian, Kai P Voss-Fels, Amine Abbadi, Gunhild Leckband, Matthias Frisch, Rod J Snowdon

Abstract read
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Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Phenomic Selection for Hybrid Rapeseed Breeding.Plant phenomics (Washington, D.C.) · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Genomics and breeding innovations for enhancing genetic gain for climate resilience and nutrition traits.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021
    Review
  14. Article
  15. Article
  16. Multi-omics-based prediction of hybrid performance in canola.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021
    Article
  17. Review
  18. Review
  19. Article
  20. 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.

Christian R WernerDepartment of Plant Breeding, Justus Liebig University, 35392, Giessen, Germany.
Lunwen QianDepartment of Plant Breeding, Justus Liebig University, 35392, Giessen, Germany.
Kai P Voss-FelsDepartment of Plant Breeding, Justus Liebig University, 35392, Giessen, Germany.
Amine AbbadiNPZ Innovation GmbH, Hohenlieth, 24363, Holtsee, Germany.
Gunhild LeckbandNPZ Innovation GmbH, Hohenlieth, 24363, Holtsee, Germany.
Matthias FrischInstitute of Agronomy and Plant Breeding II, Justus Liebig University, 35392, Giessen, Germany.
Rod J SnowdonDepartment of Plant Breeding, Justus Liebig University, 35392, Giessen, Germany. rod.snowdon@agrar.uni-giessen.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

key messageGenomic prediction using the Brassica 60 k genotyping array is efficient in oilseed rape hybrids. Prediction accuracy is more dependent on trait complexity than on the prediction model. In oilseed rape breeding programs, performance prediction of parental combinations is of fundamental importance. Due to the phenomenon of heterosis, per se performance is not a reliable indicator for F

Indexed as

Hybrid VigorModels, GeneticPlant BreedingBrassica napusCrosses, GeneticGenotypePhenotypePolymorphism, Single Nucleotide

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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.