Trichoderma Activity in Seed Germination, Promoting Seedling Growth and Rhizocompetence in Tomato Plants
Bibliographic record
Abstract
Tomato is one of the most important plant species from an economic and social point of view. Nowadays, there is a growing interest in the use of beneficial microorganisms in agriculture, and some of them are being commercialized as biopesticidal and biofertilizer formulations. Therefore, the aim of this study was to evaluate the ability of twenty (20) Trichoderma isolates to stimulate seed germination, colonize the roots, and promoting growth on tomato seedlings. In laboratory tests, it was possible to observe germination induction and longer root length, in addition to greater length of hypocotyls. However, in some cases, the presence of cotyledon lesions in the seedlings was observed, but without interference in the number and vigor of seedlings from inoculated seeds. In the greenhouse, the action of isolates as growth promoters was verified, due to the increase in the weight and length of roots and the aerial part of tomato plants. Twelve isolates were selected for the rhizocompetence assay, in which the ability to colonize the rhizosphere and also the plant rhizoplane was observed. None of the tests showed negative results in the evaluated parameters.
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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 | 0.000 |
| 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".