Evidence map›Paper›PMID 27628849›Full record

ArticleBMC genetics2016

Genetic basis of nitrogen use efficiency and yield stability across environments in winter rapeseed.

Anne-Sophie Bouchet, Anne Laperche, Christine Bissuel-Belaygue, Cécile Baron, Jérôme Morice, Mathieu Rousseau-Gueutin, Jean-Eric Dheu, Pierre George, Xavier Pinochet, Thomas Foubert and 4 more

Open access · diamondAbstract read
In one paragraph

Article in BMC genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 13% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.

  1. Meta-analysis of seed weight QTLome using a consensus and highly dense genetic map in Brassica napus L.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023
    Pooled it
  2. Genetic mapping of novel QTL for seed protein stability in food-grade soybean (Glycine max).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Article
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  8. Genetic dissection of seed yield and yield-related traits inMolecular breeding : new strategies in plant improvement · 2022
    Article
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  11. Identification and Expression Analysis ofInternational journal of molecular sciences · 2021
    Article
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  14. Genome-wide association mapping reveals loci for shelf life and developmental rate of lettuce.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020
    Article
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  17. Review
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  20. Clubroot resistance QTL are modulated by nitrogen input in Brassica napus.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2017
    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

14 authors at 6 institutions in 1 country.

Anne-Sophie BouchetINRA, UMR 1349 IGEPP, BP 35327, 35650, le Rheu, France.
Anne LapercheAGROCAMPUS OUEST, UMR 1349 IGEPP, BP 35327, 35650, le Rheu, France. anne.laperche@agrocampus-ouest.fr.
Christine Bissuel-BelaygueAGROCAMPUS OUEST, UMR 1349 IGEPP, BP 35327, 35650, le Rheu, France.
Cécile BaronINRA, UMR 1349 IGEPP, BP 35327, 35650, le Rheu, France.
Jérôme MoriceINRA, UMR 1349 IGEPP, BP 35327, 35650, le Rheu, France.
Mathieu Rousseau-GueutinINRA, UMR 1349 IGEPP, BP 35327, 35650, le Rheu, France.
Jean-Eric DheuLimagrain Europe, Ferme de l'Etang, 77390, Verneuil-l'Etang, France.
Pierre GeorgeBiogemma, Chemin de Panedautes, 31700, Mondonville, France.
Xavier PinochetTerres Inovia, Avenue Lucien Brétignières, 78850, Thiverval Grignon, France.
Thomas FoubertEuralis, Chemin de Panedautes, 31700, Mondonville, France.
Olivier MaesMaisadour Semences, Route de Saint Sever, BP27, 40001, Mont de Marsan Cedex, France.
Damien DuguéRAGT R2n, Rue Emile Singla, BP 3331, 12033, Rodez, France.
Florent GuinotSyngenta, Chemin de l'Hobit, 31790, Saint-Sauveur, France.
Nathalie NesiINRA, UMR 1349 IGEPP, BP 35327, 35650, le Rheu, France.
Institut de Génétique, Environnement et Protection des Plantes · FRAmer Sports (France) · FRBiogemma (France) · FRLimagrain (France) · FRSyngenta (France)Terres Univia · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNitrogen use efficiency is an important breeding trait that can be modified to improve the sustainability of many crop species used in agriculture. Rapeseed is a major oil crop with low nitrogen use efficiency, making its production highly dependent on nitrogen input. This complex trait is suspected to be sensitive to genotype × environment interactions, especially genotype × nitrogen interactions. Therefore, phenotyping diverse rapeseed populations under a dense network of trials is a powerful approach to study nitrogen use efficiency in this crop. The present study aimed to determine the quantitative trait loci (QTL) associated with yield in winter oilseed rape and to assess the stability of these regions under contrasting nitrogen conditions for the purpose of increasing nitrogen use efficiency.

resultsGenome-wide association studies and linkage analyses were performed on two diversity sets and two doubled-haploid populations. These populations were densely genotyped, and yield-related traits were scored in a multi-environment design including seven French locations, six growing seasons (2009 to 2014) and two nitrogen nutrition levels (optimal versus limited). Very few genotype × nitrogen interactions were detected, and a large proportion of the QTL were stable across nitrogen nutrition conditions. In contrast, strong genotype × trial interactions in which most of the QTL were specific to a single trial were found. To obtain further insight into the QTL × environment interactions, genetic analyses of ecovalence were performed to identify the genomic regions contributing to the genotype × nitrogen and genotype × trial interactions. Fifty-one critical genomic regions contributing to the additive genetic control of yield-associated traits were identified, and the structural organization of these regions in the genome was investigated.

conclusionsOur results demonstrated that the effect of the trial was greater than the effect of nitrogen nutrition levels on seed yield-related traits under our experimental conditions. Nevertheless, critical genomic regions associated with yield that were stable across environments were identified in rapeseed.

Indexed as

Gene-Environment InteractionSeasonsAlgorithmsBiological EvolutionBrassica rapaChromosome MappingCluster AnalysisEnergy MetabolismGenetic Association StudiesGenetic LinkageGenome, PlantGenome-Wide Association StudyGenomicsGenotypeModels, StatisticalNitrogenNitrogenBrassica napus LEcovalenceGenotype × nitrogen interactionsNitrogen stressQuantitative trait loci

Identifiers

PMID27628849
PMCPMC5024496
OpenAlexW2518874218

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.