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Mendeley readers
Attention Score in Context
| Title |
The Genetic Architecture of Barley Plant Stature
|
|---|---|
| Published in |
Frontiers in Genetics, June 2016
|
| DOI | 10.3389/fgene.2016.00117 |
| Pubmed ID | |
| Authors |
Ahmad M. Alqudah, Ravi Koppolu, Gizaw M. Wolde, Andreas Graner, Thorsten Schnurbusch |
| Abstract |
Plant stature in temperate cereals is predominantly controlled by tillering and plant height as complex agronomic traits, representing important determinants of grain yield. This study was designed to reveal the genetic basis of tillering at five developmental stages and plant height at harvest in 218 worldwide spring barley (Hordeum vulgare L.) accessions under greenhouse conditions. The accessions were structured based on row-type classes [two- vs. six-rowed] and photoperiod response [photoperiod-sensitive (Ppd-H1) vs. reduced photoperiod sensitivity (ppd-H1)]. Phenotypic analyses of both factors revealed profound between group effects on tiller development. To further verify the row-type effect on the studied traits, Six-rowed spike 1 (vrs1) mutants and their two-rowed progenitors were examined for tiller number per plant and plant height. Here, wild-type (Vrs1) plants were significantly taller and had more tillers than mutants suggesting a negative pleiotropic effect of this row-type locus on both traits. Our genome-wide association scans further revealed highly significant associations, thereby establishing a link between the genetic control of row-type, heading time, tillering, and plant height. We further show that associations for tillering and plant height are co-localized with chromosomal segments harboring known plant stature-related phytohormone and sugar-related genes. This work demonstrates the feasibility of the GWAS approach for identifying putative candidate genes for improving plant architecture. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | <1% |
| Unknown | 102 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 17% |
| Student > Ph. D. Student | 12 | 12% |
| Student > Master | 12 | 12% |
| Student > Bachelor | 10 | 10% |
| Student > Doctoral Student | 5 | 5% |
| Other | 12 | 12% |
| Unknown | 35 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 53 | 51% |
| Biochemistry, Genetics and Molecular Biology | 5 | 5% |
| Environmental Science | 2 | 2% |
| Business, Management and Accounting | 2 | 2% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | <1% |
| Other | 5 | 5% |
| Unknown | 35 | 34% |
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 23 August 2018.
All research outputs
#18,464,797
of 22,879,161 outputs
Outputs from Frontiers in Genetics
#7,071
of 11,919 outputs
Outputs of similar age
#267,640
of 352,727 outputs
Outputs of similar age from Frontiers in Genetics
#43
of 54 outputs
Altmetric has tracked 22,879,161 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 11,919 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 27th percentile – i.e., 27% 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 352,727 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.