Differential growth of<i>Fusarium moniliforme</i>relative to tissues from 'Silver Queen', a sweet maize
Bibliographic record
Abstract
Vegetative and reproductive tissues of maize, Zea mays L., were inoculated in vitro with Fusarium moniliforme J. Sheld. to determine inherent differences among plant tissue types to support mycelia proliferation. The F. moniliforme isolate used for inoculations was tagged with gusA, a reporter gene, providing evidence that developing mycelia were from the inoculum source and excluding possibilities of an external contaminant or an internal endophytic F. moniliforme. Vegetative tissues were dissected from roots, stems, and leaves; reproductive tissues were dissected from developing male and female inflorescences and fruits. In addition, mycelial development was analyzed on nonwounded and wounded mature kernels. Fusarium moniliforme mycelial accumulation was more rapid and extensive on reproductive than on vegetative plant tissue. Fusarium moniliforme conidia inoculated on immature kernels formed a dense mycelial mat, whereas F. moniliforme conidia inoculated on mature kernels developed sparse hyphae, unless the kernels had been wounded. Thus, the type, maturity, and physical condition of maize plant tissues are factors responsible for in vitro differences in mycelial proliferation.Key words: conidia, mycotoxins, plant pathogen, reproductive tissue, vegetative tissue, Zea mays.
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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 | 0.000 | 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".