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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Development of high-throughput methods to screen disease caused by Rhizoctonia solani AG 2-1 in oilseed rape
|
|---|---|
| Published in |
Plant Methods, May 2017
|
| DOI | 10.1186/s13007-017-0195-1 |
| Pubmed ID | |
| Authors |
Fryni Drizou, Neil S. Graham, Toby J. A. Bruce, Rumiana V. Ray |
| Abstract |
Rhizoctonia solani (Kühn) is a soil-borne, necrotrophic fungus causing damping off, root rot and stem canker in many cultivated plants worldwide. Oilseed rape (OSR, Brassica napus) is the primary host for anastomosis group (AG) 2-1 of R. solani causing pre- and post-emergence damping-off resulting in death of seedlings and impaired crop establishment. Presently, there are no known resistant OSR genotypes and the main methods for disease control are fungicide seed treatments and cultural practices. The identification of sources of resistance for crop breeding is essential for sustainable management of the disease. However, a high-throughput, reliable screening method for resistance traits is required. The aim of this work was to develop a low cost, rapid screening method for disease phenotyping and identification of resistance traits. Four growth systems were developed and tested: (1) nutrient media plates, (2) compost trays, (3) light expanded clay aggregate (LECA) trays, and (4) a hydroponic pouch and wick system. Seedlings were inoculated with virulent AG 2-1 to cause damping-off disease and grown for a period of 4-10 days. Visual disease assessments were carried out or disease was estimated through image analysis using ImageJ. Inoculation of LECA was the most suitable method for phenotyping disease caused by R. solani AG 2-1 as it enabled the detection of differences in disease severity among OSR genotypes within a short time period whilst allowing measurements to be conducted on whole plants. This system is expected to facilitate identification of resistant germplasm. |
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 | 2 | 67% |
| Unknown | 1 | 33% |
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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 41 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 20% |
| Student > Master | 8 | 20% |
| Student > Ph. D. Student | 7 | 17% |
| Student > Doctoral Student | 3 | 7% |
| Other | 3 | 7% |
| Other | 7 | 17% |
| Unknown | 5 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 25 | 61% |
| Biochemistry, Genetics and Molecular Biology | 2 | 5% |
| Unspecified | 2 | 5% |
| Environmental Science | 1 | 2% |
| Nursing and Health Professions | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 7 | 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 31 December 2017.
All research outputs
#13,555,965
of 22,977,819 outputs
Outputs from Plant Methods
#633
of 1,087 outputs
Outputs of similar age
#161,316
of 316,100 outputs
Outputs of similar age from Plant Methods
#17
of 27 outputs
Altmetric has tracked 22,977,819 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 1,087 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 39th percentile – i.e., 39% 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 316,100 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.