Control, by<i>Brassica</i>seed pomace combined with<i>Pseudomonas boreopolis</i>, of damping-off of watermelon caused by<i>Pythium</i>sp.
Bibliographic record
Abstract
A total of 57 isolates of fungi, bacteria, and actinomycetes were screened for their ability to degrade the glucosinolate sinigrin. Pseudomonas boreopolis was the most effective among 26 isolates having the capacity to degrade sinigrin. Treatment with ground Brassica seed pomace and Pseudomonas boreopolis resulted in the release of volatile compounds. Gas-chromatography analyses allowed to identify allyl isothiocyanate and 3-butenyl isothiocyanate as the major volatile compounds released from enzymatic hydrolysis of glucosinolates by Pseudomonas boreopolis. These compounds had strong fungicidal activity against Rhizoctonia solani AG-4, Sclerotium rolfsii, Sclerotinia sclerotiorum, Pythium aphanidermatum, and Phytophthora capsici as revealed by reduced mycelial growth. They were also responsible for reducing the survival of zoospores and oospores of P. aphanidermatum. A large-scale greenhouse trial showed that amendment of growth media (Bas Van Buuren medium No. 4, 7mL; soil, 3 g) with 1% (mass fraction) of the ground Brassica seed pomace and Pseudomonas boreopolis (1 × 108 to 1.8 × 108 cfu/mL) was effective in controlling damping-off of watermelon caused by Pythium sp., resulting in increased production of healthy, marketable seedlings.
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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) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".