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Mendeley readers
Attention Score in Context
| Title |
Development of a phenotyping platform for high throughput screening of nodal root angle in sorghum
|
|---|---|
| Published in |
Plant Methods, July 2017
|
| DOI | 10.1186/s13007-017-0206-2 |
| Pubmed ID | |
| Authors |
Dinesh C. Joshi, Vijaya Singh, Colleen Hunt, Emma Mace, Erik van Oosterom, Richard Sulman, David Jordan, Graeme Hammer |
| Abstract |
In sorghum, the growth angle of nodal roots is a major component of root system architecture. It strongly influences the spatial distribution of roots of mature plants in the soil profile, which can impact drought adaptation. However, selection for nodal root angle in sorghum breeding programs has been restricted by the absence of a suitable high throughput phenotyping platform. The aim of this study was to develop a phenotyping platform for the rapid, non-destructive and digital measurement of nodal root angle of sorghum at the seedling stage. The phenotyping platform comprises of 500 soil filled root chambers (50 × 45 × 0.3 cm in size), made of transparent perspex sheets that were placed in metal tubs and covered with polycarbonate sheets. Around 3 weeks after sowing, once the first flush of nodal roots was visible, roots were imaged in situ using an imaging box that included two digital cameras that were remotely controlled by two android tablets. Free software (openGelPhoto.tcl) allowed precise measurement of nodal root angle from the digital images. The reliability and efficiency of the platform was evaluated by screening a large nested association mapping population of sorghum and a set of hybrids in six independent experimental runs that included up to 500 plants each. The platform revealed extensive genetic variation and high heritability (repeatability) for nodal root angle. High genetic correlations and consistent ranking of genotypes across experimental runs confirmed the reproducibility of the platform. This low cost, high throughput root phenotyping platform requires no sophisticated equipment, is adaptable to most glasshouse environments and is well suited to dissect the genetic control of nodal root angle of sorghum. The platform is suitable for use in sorghum breeding programs aiming to improve drought adaptation through root system architecture manipulation. |
X Demographics
The data shown below were collected from the profiles of 32 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 7 | 22% |
| United States | 5 | 16% |
| United Kingdom | 3 | 9% |
| Nigeria | 1 | 3% |
| France | 1 | 3% |
| Mexico | 1 | 3% |
| Belgium | 1 | 3% |
| Germany | 1 | 3% |
| China | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 11 | 34% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 20 | 63% |
| Scientists | 10 | 31% |
| Science communicators (journalists, bloggers, editors) | 2 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 100 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 20% |
| Researcher | 18 | 18% |
| Student > Master | 7 | 7% |
| Student > Bachelor | 6 | 6% |
| Professor > Associate Professor | 5 | 5% |
| Other | 16 | 16% |
| Unknown | 28 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 51 | 51% |
| Biochemistry, Genetics and Molecular Biology | 5 | 5% |
| Environmental Science | 3 | 3% |
| Engineering | 3 | 3% |
| Physics and Astronomy | 2 | 2% |
| Other | 6 | 6% |
| Unknown | 30 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 24 September 2017.
All research outputs
#1,653,952
of 23,342,232 outputs
Outputs from Plant Methods
#68
of 1,105 outputs
Outputs of similar age
#33,975
of 313,444 outputs
Outputs of similar age from Plant Methods
#1
of 23 outputs
Altmetric has tracked 23,342,232 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,105 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done particularly well, scoring higher than 93% of its peers.
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 313,444 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.