An investigation of genetic variation in <i>Carthamus lanatus</i> in New South Wales, Australia, using intersimple sequence repeats (ISSR) analysis
Bibliographic record
Abstract
Summary Carthamus lanatus is a widespread and troublesome weed of crops and pastures in Australia. It is viewed as a target for both inundative and classical biological control. As fungal biological control agents are often specific in terms of their host range, the genetic variation within the host may be important in their successful deployment. The detection of genetic variation in populations of C. lanatus from New South Wales was studied using polymerase chain reaction (PCR)‐based, intersimple sequence repeats (ISSR) analysis. DNA extracted from plant samples from 11 locations in New South Wales was compared with one sample from Western Australia and one accession of the closely related crop plant, safflower. The analysis indicated that there were two distinct groups of C. lanatus that correlated with location (northern and southern regions). Within‐group genetic diversity, as determined by the Shannon genetic diversity index, was low at 0.33 in the southern group and 0.22 in the northern group. The presence of these groups may have implications for the biological control of C. lanatus using exotic fungi. In any screening of candidate agents, representatives of these populations should be included.
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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) | 0.001 | 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".