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QTL meta-analysis of root traits in Brassica napus under contrasting phosphorus supply in two growth systems

Overview of attention for article published in Scientific Reports, September 2016
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Article details
Title
QTL meta-analysis of root traits in Brassica napus under contrasting phosphorus supply in two growth systems
Published in
Scientific Reports, September 2016
DOI 10.1038/srep33113
Pubmed ID
Authors
Abstract

A high-density SNP-based genetic linkage map was constructed and integrated with a previous map in the Tapidor x Ningyou7 (TNDH) Brassica napus population, giving a new map with a total of 2041 molecular markers and an average marker density which increased from 0.39 to 0.97 (0.82 SNP bin) per cM. Root and shoot traits were screened under low and 'normal' phosphate (Pi) supply using a 'pouch and wick' system, and had been screened previously in an agar based system. The P-efficient parent Ningyou7 had a shorter primary root length (PRL), greater lateral root density (LRD) and a greater shoot biomass than the P-inefficient parent Tapidor under both treatments and growth systems. Quantitative trait loci (QTL) analysis identified a total of 131 QTL, and QTL meta-analysis found four integrated QTL across the growth systems. Integration reduced the confidence interval by ~41%. QTL for root and shoot biomass were co-located on chromosome A3 and for lateral root emergence were co-located on chromosomes A4/C4 and C8/C9. There was a major QTL for LRD on chromosome C9 explaining ~18% of the phenotypic variation. QTL underlying an increased LRD may be a useful breeding target for P uptake efficiency in Brassica.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 73 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 17 23%
Researcher 9 12%
Student > Master 8 11%
Student > Doctoral Student 5 7%
Student > Bachelor 5 7%
Other 11 15%
Unknown 18 25%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 30 41%
Biochemistry, Genetics and Molecular Biology 8 11%
Unspecified 3 4%
Environmental Science 3 4%
Chemistry 2 3%
Other 4 5%
Unknown 23 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 03 October 2016.
All research outputs
#17,026,428
of 26,801,235 outputs
Outputs from Scientific Reports
#82,956
of 148,235 outputs
Outputs of similar age
#182,745
of 314,341 outputs
Outputs of similar age from Scientific Reports
#2,066
of 3,587 outputs
Altmetric has tracked 26,801,235 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 148,235 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.1. This one is in the 40th percentile – i.e., 40% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 314,341 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3,587 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.