Influence of Cellulolytic Bacterial Augmentation on Organic Carbon and Available Phosphorus in Sandy Loam Soil under Cultivation
Bibliographic record
Abstract
Microorganisms are major key players for sustaining the soil quality degraded by intensive use of synthetic chemicals for increasing crop production and therefore, use of them as inoculants or biofertilizers is an integral part of sustainable agriculture. An effort was, therefore, made to examine the effect of cellulose degrading bacterial isolates on legume (Chickpea) based cropping systems. No chemical/organic fertilizer was added during this study. The bacterial isolates viz., Serratia sp. (MSK1), Pseudomonas sp. (MSK 13) and Serratia sp (MSK24) exhibiting cellulase activity of 3.83, 4.21 and 4.52 mM glucose ml-1 h-1 respectively were introduced as inoculants. The ERIC-PCR results showed the good survivability of 40.2, 34.4 and 56.8 % of the introduced strains in soil after the crop harvest. A significant enhancement in organic carbon and available phosphorus was observed in the inoculated plots over the control plot indicating beneficial effect of the bioaugmentation of these inoculants.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".