Combined effects of <i>Brassica napus</i> seed meal and <i>Trichoderma harzianum</i> on two soilborne plant pathogens
Bibliographic record
Abstract
The effects of soil amendment with rapeseed meal from Brassica napus cv. 'Dwarf Essex' (high glucosinolate concentrations) and 'Stonewall' (low glucosinolate concentrations) on the biological control activity of Trichoderma harzianum towards Sclerotinia sclerotiorum and Aphanomyces euteiches were evaluated. Trichoderma harzianum added to soil reduced myceliogenic germination of S. sclerotiorum by 94%, but did not affect carpogenic germination. In contrast, 100% reduction in carpogenic germination was observed in soil amended with Dwarf Essex meal, along with a 33% reduction in myceliogenic germination. With Stonewall meal as soil amendment, carpogenic germination was reduced by 44% and myceliogenic germination was not affected. Both Dwarf Essex and Stonewall meals inhibited colonization of sclerotia in soil by T. harzianum, from 100% to 0% and 8%, respectively, so that biocontrol activity of T. harzianum was reduced in the presence of either meal. Aphanomyces euteiches root rot of pea was significantly reduced by T. harzianum alone (100%), by amendment with Dwarf Essex meal alone (77%), and by T. harzianum in combination with Dwarf Essex meal (100%). Amendment with Stonewall meal alone did not control root rot, and combination of Stonewall meal with T. harzianum reduced the biocontrol efficacy of T. harzianum.
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.
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) | 0.001 | 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".