| Title |
Extraction of quantitative characteristics describing wheat leaf pubescence with a novel image-processing technique
|
|---|---|
| Published in |
Planta, September 2012
|
| DOI | 10.1007/s00425-012-1751-6 |
| Pubmed ID | |
| Authors |
Mikhail A. Genaev, Alexey V. Doroshkov, Tatyana A. Pshenichnikova, Nikolay A. Kolchanov, Dmitry A. Afonnikov |
| Abstract |
Leaf pubescence (hairiness) in wheat plays an important biological role in adaptation to the environment. However, this trait has always been methodologically difficult to phenotype. An important step forward has been taken with the use of computer technologies. Computer analysis of a photomicrograph of a transverse fold line of a leaf is proposed for quantitative evaluation of wheat leaf pubescence. The image-processing algorithm is implemented in the LHDetect2 software program accessible as a Web service at http://wheatdb.org/lhdetect2 . The results demonstrate that the proposed method is rapid, adequately assesses leaf pubescence density and the length distribution of trichomes and the data obtained using this method are significantly correlated with the density of trichomes on the leaf surface. Thus, the proposed method is efficient for high-throughput analysis of leaf pubescence morphology in cereal genetic collections and mapping populations. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 42% |
| Student > Master | 3 | 13% |
| Student > Ph. D. Student | 3 | 13% |
| Other | 2 | 8% |
| Professor > Associate Professor | 2 | 8% |
| Other | 2 | 8% |
| Unknown | 2 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 14 | 58% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Economics, Econometrics and Finance | 1 | 4% |
| Medicine and Dentistry | 1 | 4% |
| Neuroscience | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 4 | 17% |
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 18 October 2020.
All research outputs
#13,368,181
of 22,679,690 outputs
Outputs from Planta
#1,655
of 2,712 outputs
Outputs of similar age
#92,653
of 170,593 outputs
Outputs of similar age from Planta
#9
of 17 outputs
Altmetric has tracked 22,679,690 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,712 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 38th percentile – i.e., 38% 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 170,593 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.