Evidence map›Paper›PMID 33523261›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2021

Multi-omics-based prediction of hybrid performance in canola.

Dominic Knoch, Christian R Werner, Rhonda C Meyer, David Riewe, Amine Abbadi, Sophie Lücke, Rod J Snowdon, Thomas Altmann

Open access · hybridAbstract read
In one paragraph

Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.6field-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

26 citing papers in PubMed, 47 citations in OpenAlex.

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  14. Multi-omics assists genomic prediction of maize yield with machine learning approaches.Molecular breeding : new strategies in plant improvement · 2024
    Article
  15. Plant biochemical genetics in the multiomics era.Journal of experimental botany · 2023
    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 5 institutions in 2 countries.

Dominic KnochDepartment of Molecular Genetics, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), 06466, Seeland, OT Gatersleben, Germany. knochd@ipk-gatersleben.de.ORCID http://orcid.org/0000-0002-9362-3105
Christian R WernerThe Roslin Institute, University of Edinburgh, Easter Bush, Midlothian, EH25 9RG, Scotland, UK.ORCID https://orcid.org/0000-0001-9400-5061
Rhonda C MeyerDepartment of Molecular Genetics, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), 06466, Seeland, OT Gatersleben, Germany.ORCID https://orcid.org/0000-0002-6210-4900
David RieweDepartment of Molecular Genetics, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), 06466, Seeland, OT Gatersleben, Germany.ORCID https://orcid.org/0000-0002-9095-5518
Amine AbbadiNPZ Innovation GmbH, Hohenlieth, 24363, Holtsee, Germany.ORCID https://orcid.org/0000-0002-2389-978X
Sophie LückeNorddeutsche Pflanzenzucht Hans-Georg Lembke KG, Hohenlieth, 24363, Holtsee, Germany.
Rod J SnowdonDepartment of Plant Breeding, IFZ Research Centre for Biosystems, Land Use and Nutrition, Justus Liebig University, Heinrich-Buff-Ring 26-32, 35392, Giessen, Germany.ORCID https://orcid.org/0000-0001-5577-7616
Thomas AltmannDepartment of Molecular Genetics, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), 06466, Seeland, OT Gatersleben, Germany.ORCID https://orcid.org/0000-0002-3759-360X
Leibniz-Institut für Pflanzengenetik und Kulturpflanzenforschung (IPK) · DENorddeutsche Pflanzenzucht Hans-Georg Lembke (Germany) · DEJulius Kühn-Institut · DEJustus-Liebig-Universität Gießen · DERoslin Institute · GB

Funding

Deutsche Forschungsgemeinschaft 234585441
6 · The paper itself

Abstract

key messageComplementing or replacing genetic markers with transcriptomic data and use of reproducing kernel Hilbert space regression based on Gaussian kernels increases hybrid prediction accuracies for complex agronomic traits in canola. In plant breeding, hybrids gained particular importance due to heterosis, the superior performance of offspring compared to their inbred parents. Since the development of new top performing hybrids requires labour-intensive and costly breeding programmes, including testing of large numbers of experimental hybrids, the prediction of hybrid performance is of utmost interest to plant breeders. In this study, we tested the effectiveness of hybrid prediction models in spring-type oilseed rape (Brassica napus L./canola) employing different omics profiles, individually and in combination. To this end, a population of 950 F

Indexed as

Crosses, GeneticGenome, PlantHybrid VigorMetabolomePolymorphism, Single NucleotideTranscriptomeBrassica napusHybridization, GeneticModels, GeneticPhenotypePlant BreedingQuantitative Trait LociSeedsAgronomic traitsGenomic best linear unbiased prediction (gBLUP)HeterosisHybrid predictionReproducing kernel Hilbert space regression (RKHS)Spring-type brassica napus (canola)

Identifiers

PMID33523261
PMCPMC7973648
OpenAlexW3128691265

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.