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

Overview of attention for article published in BMC Genetics, September 2016
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Title
Genetic basis of nitrogen use efficiency and yield stability across environments in winter rapeseed
Published in
BMC Genetics, September 2016
DOI 10.1186/s12863-016-0432-z
Pubmed ID
Authors

Anne-Sophie Bouchet, Anne Laperche, Christine Bissuel-Belaygue, Cécile Baron, Jérôme Morice, Mathieu Rousseau-Gueutin, Jean-Eric Dheu, Pierre George, Xavier Pinochet, Thomas Foubert, Olivier Maes, Damien Dugué, Florent Guinot, Nathalie Nesi

Abstract

Nitrogen 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. Genome-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. Our 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.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 60 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 18%
Student > Ph. D. Student 9 15%
Student > Master 9 15%
Student > Bachelor 7 11%
Professor > Associate Professor 4 7%
Other 7 11%
Unknown 14 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 32 52%
Biochemistry, Genetics and Molecular Biology 11 18%
Social Sciences 2 3%
Unspecified 1 2%
Nursing and Health Professions 1 2%
Other 1 2%
Unknown 13 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 September 2016.
All research outputs
#6,368,791
of 8,392,157 outputs
Outputs from BMC Genetics
#484
of 711 outputs
Outputs of similar age
#177,217
of 252,002 outputs
Outputs of similar age from BMC Genetics
#18
of 30 outputs
Altmetric has tracked 8,392,157 research outputs across all sources so far. This one is in the 13th percentile – i.e., 13% of other outputs scored the same or lower than it.
So far Altmetric has tracked 711 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 20th percentile – i.e., 20% of its peers scored the same or lower than it.
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We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.