Tricalcium phosphate solubilizing abilities of<i>Trichoderma</i>spp. in relation to P uptake and growth and yield parameters of chickpea (<i>Cicer arietinum</i>L.)
Bibliographic record
Abstract
Nine isolates of Trichoderma spp. were investigated for their ability to solubilize insoluble phosphate in Pikovskaya's broth and were compared with an efficient phosphate-solubilizing bacterium Bacillus megaterium subsp. phospaticum PB that was used as the reference strain. All 9 Trichoderma isolates were found to solubilize insoluble tricalcium phosphate to various extents. Trichoderma viride (TV 97) (9.03 microg x mL(-1)), Trichoderma virens (PDBCTVs 12) (9.0 microg x mL(-1)), and Trichoderma virens (PDBCTVs 13) (8.83 microg x mL(-1)) solubilized 70% of that solubilized by the reference strain Bacillus megaterium (12.43 microg x mL(-1)). Pot culture and field evaluations with Trichoderma harzianum (PDBCTH 10), Trichoderma viride (TV 97), and Trichoderma virens (PDBCTVs 12) using chickpea (Cicer arietinum L.) 'Annegeri-1' as the test plant and rock phosphate as the phosphorus source showed significantly increased P uptake in plants treated with Trichoderma harzianum (PDBCTH 10) followed by Trichoderma virens (PDBCTVs 12) and Trichoderma viride (TV 97). Inoculation of Trichoderma spp. also showed increased growth and yield parameters of chickpea compared with the uninoculated controls under both glasshouse and field conditions.
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) | 0.000 | 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 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".