Automated Author ProfileOrazaly, Moldir
Orazaly, Moldir
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 1.3 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Cercospora leaf blight (CLB), caused by Cercospora kikuchii, C. cf. flagellaris, and C. cf. sigesbeckiae, is a serious disease of soybean [Glycine max (L.) Merr.], which is prevalent in the mid-southern and southeastern USA, where hot and humid conditions prevail during the growing season. Few resistant soybean cultivars have been identified, as previous evaluations across time and location have been notoriously inconsistent because of variable pathogen diversity and environmental conditions. To confound management options, the pathogens have developed resistance to quinone outside inhibitor fungicides and fungicides that contain thiophanate-methyl as an active ingredient. Soybean accession lines (n = 568), representing maturity groups III to VII, were planted across the southeastern USA and evaluated for the presence and severity of naturally infected CLB during 2016 and 2017 based upon multiple evaluation scales. Good correlations between symptom types allowed for unification of multiple scales into a single evaluation scale that was used in 2018. Evaluation scales were converted to categorical data and compared to search for accessions that exhibited consistent resistance to the disease. In this study, >50 accessions were identified with resistance to CLB. In addition, a new evaluation scale described herein allows for fast and accurate evaluation of large-scale field experiments for CLB across multiple locations.
Authors
- Ward, Brian M. ;
- Shrestha, Bishnu K. ;
- Allen, Tom W. ;
- Buckley, Blair ;
- Chen, Pengyin ;
- Clubb, Michael ;
- Mozzoni, Leandro A. ;
- Orazaly, Moldir ;
- Florez, Liliana ;
- Moseley, David ;
- Rupe, John C. ;
- Gentimis, Thanos ;
- Price, Paul P.
Cercospora leaf blight (CLB), caused by Cercospora kikuchii, C. cf. flagellaris, and C. cf. sigesbeckiae, is a serious disease of soybean [Glycine max (L.) Merr.], which is prevalent in the mid-southern and southeastern USA, where hot and humid conditions prevail during the growing season. Few resistant soybean cultivars have been identified, as previous evaluations across time and location have been notoriously inconsistent because of variable pathogen diversity and environmental conditions. To confound management options, the pathogens have developed resistance to quinone outside inhibitor fungicides and fungicides that contain thiophanate-methyl as an active ingredient. Soybean accession lines (n = 568), representing maturity groups III to VII, were planted across the southeastern USA and evaluated for the presence and severity of naturally infected CLB during 2016 and 2017 based upon multiple evaluation scales. Good correlations between symptom types allowed for unification of multiple scales into a single evaluation scale that was used in 2018. Evaluation scales were converted to categorical data and compared to search for accessions that exhibited consistent resistance to the disease. In this study, >50 accessions were identified with resistance to CLB. In addition, a new evaluation scale described herein allows for fast and accurate evaluation of large-scale field experiments for CLB across multiple locations.
Authors
- Ward, Brian M. ;
- Shrestha, Bishnu K. ;
- Allen, Tom W. ;
- Buckley, Blair ;
- Chen, Pengyin ;
- Clubb, Michael ;
- Mozzoni, Leandro A. ;
- Orazaly, Moldir ;
- Florez, Liliana ;
- Moseley, David ;
- Rupe, John C. ;
- Gentimis, Thanos ;
- Price, Paul P.