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Genome-wide association studies for agronomical traits in a world wide spring barley collection

Overview of attention for article published in BMC Plant Biology, January 2012
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Title
Genome-wide association studies for agronomical traits in a world wide spring barley collection
Published in
BMC Plant Biology, January 2012
DOI 10.1186/1471-2229-12-16
Pubmed ID
Authors

Raj K Pasam, Rajiv Sharma, Marcos Malosetti, Fred A van Eeuwijk, Grit Haseneyer, Benjamin Kilian, Andreas Graner

Abstract

Genome-wide association studies (GWAS) based on linkage disequilibrium (LD) provide a promising tool for the detection and fine mapping of quantitative trait loci (QTL) underlying complex agronomic traits. In this study we explored the genetic basis of variation for the traits heading date, plant height, thousand grain weight, starch content and crude protein content in a diverse collection of 224 spring barleys of worldwide origin. The whole panel was genotyped with a customized oligonucleotide pool assay containing 1536 SNPs using Illumina's GoldenGate technology resulting in 957 successful SNPs covering all chromosomes. The morphological trait "row type" (two-rowed spike vs. six-rowed spike) was used to confirm the high level of selectivity and sensitivity of the approach. This study describes the detection of QTL for the above mentioned agronomic traits by GWAS.

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 431 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 <1%
Germany 2 <1%
Netherlands 2 <1%
Brazil 2 <1%
Spain 2 <1%
Denmark 2 <1%
United Kingdom 2 <1%
Australia 1 <1%
Sweden 1 <1%
Other 7 2%
Unknown 407 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 105 24%
Researcher 96 22%
Student > Master 56 13%
Student > Doctoral Student 32 7%
Student > Bachelor 23 5%
Other 56 13%
Unknown 63 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 292 68%
Biochemistry, Genetics and Molecular Biology 42 10%
Environmental Science 4 <1%
Engineering 4 <1%
Computer Science 3 <1%
Other 23 5%
Unknown 63 15%
Attention Score in Context

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 30 January 2012.
All research outputs
#18,304,230
of 22,662,201 outputs
Outputs from BMC Plant Biology
#2,064
of 3,205 outputs
Outputs of similar age
#196,512
of 246,348 outputs
Outputs of similar age from BMC Plant Biology
#30
of 44 outputs
Altmetric has tracked 22,662,201 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,205 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 22nd percentile – i.e., 22% of its peers scored the same or lower than it.
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We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.