Compatibility of commercial fungicide formulations with plant-associated <i>Methylobacterium</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
Symbiotic Methylobacterium comprise a significant part of the plant microbiome and are known to benefit host plant growth, development, tolerance to abiotic stress, and enhanced disease resistance. The wide application of commercial broad-spectrum fungicide formulations in contemporary agriculture practices has necessitated the investigation of compatibility between popular pesticide products and bacterial endophytes, especially as the Methylobacterium are increasingly considered for agronomic use, including biocontrol of phytopathogens. This study provides an evaluation of compatibility between a extensive inventory of 40 Methylobacterium strains in response to commercial pesticide formulations, each containing different agtive ingredients: DYNASTY® and QUADRIS® (azoxystrobin), MAXIM®480 (fludioxonil), and APRON XL® LS (metalaxyl-M). Using a diffusion disk assay, no sensitivity of tested Methylobacterium strains could be detected against any fungicide product, at doses within and above the recommended therapeutic window (1–100 µg). Potency of formulations across the same range were confirmed using the sensitive phytopathogen Fusarium graminearum. As Methylobacterium spp. continue to emerge as suitable candidates for various roles in biotechnology, including agriculture, a better understanding on the compatibility between this important genus and commercial fungicide products has become a relevant consideration for integrated pest management practices.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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