Potential role for salicylic acid in induced resistance of asparagus roots to <i>Fusarium oxysporum</i> f.sp. <i>asparagi</i>
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Pre‐inoculation of asparagus ( Asparagus officinalis ) roots with selected nonpathogenic isolates of Fusarium oxysporum (np Fo ) has previously been shown to induce systemic resistance against infection by F. oxysporum f.sp. asparagi ( Foa ) through activation of plant‐defence mechanisms. To elucidate the putative np Fo ‐mediated defence pathways, the effect of salicylic acid (SA) was examined in a split‐root system of asparagus where one half of the seedling root system was drenched with SA and the activation of defence responses was measured subsequently on the remaining roots. SA‐treated plants exhibited enhanced systemic resistance, with a significant reduction in disease severity of the roots inoculated with Foa , compared with untreated plants. SA activated peroxidase and phenylalanine ammonia‐lyase, as well as lignification, upon Foa attack, in a manner similar to that observed with np Fo pretreatment. In addition, application of diphenyleneiodonium, an SA biosynthesis inhibitor, led to failure of np Fo to induce lignin deposition and systemic resistance. Treatment of fungal spores with SA did not affect germination and growth of either np Fo or Foa in in vitro antifungal assays. Production of SA at the site of np Fo infection may be involved in the induction of Foa resistance in asparagus roots.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 it