Isolation and Primary Identification of Leaf Rust on Black Cottonwood (<i>Populus deltoides</i>) at the South of China
Bibliographic record
Abstract
To explore the species of pathogen of leaf rust on black cottonwood ( Populus deltoid e s ) at the south of China, in this study, leaf rust spores were isolated and identified on P.deltoides in JiangSu Province(NanJing,SiHong,SiYang), AnHui Province (HeFei) and HuBei Province (ShiShou). Totally eleven isolates (three in NanJing, four in SiYang, two in HeFei, one in SiHong, one in ShiShou) were obtained by leaf single conidia isolation method. Through scan electron microscope (SEM), the spores of the length, width, thorn distance and diameter of bald surface of each segregation line were found to be largely different between them ( p <0.05). By ITS and LSU sequencing, the urediniospores of SY92, SY39, SY40, SY16, NJ10, NJ30, NJ65, HF58 and HF59 were similar with M.larici-populina , the urediniospores of SH48 and SS101 were similar with M.medusae . According to molecular clustering, the urediniospores from NanJing, SiYang and HeFei were categorized into M.larici-populina and those from SiHong and ShiShou were classified into M.medusae . Intriguingly, M.medusae found is at first recorded at the south of China. Our study provides an important reference for further research on the pathogen of leaf rust on P. deltoides at the south of China.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".