Effects of Inoculants (Chlorobium limicola and Rhodopseudomonas palustris) on Cucumber (Cucumis sativus L.) Seedlings in Stimulating their Nutrient Uptake and Growth
Bibliographic record
Abstract
Rhizobacteria-containing biofertilizers are perfect tools to promote plant growth for the superiority of reducing environmental damages. Two strains of Chlorobium limicola and Rhodopseudomonas palustris were applied in the experiment as potential inoculants for cucumber seedlings. Significant enhancement in the availability of macronutrient elements N, P and K were observed in soils, and further improvement in their uptake was also obtained in cucumber plants. Accumulation of essential micronutrients Fe and Zn were detected both in the roots and shoots. The two strains increased chlorophyll and carotinoid synthesis, plant height, stem diameter, wet weight and dry weight. Various doses had significant effects on plant growth stimulation, C. Limicola with 107 cells mL-1 and R. Palustris with 108 cells mL-1 seem to be better on the whole.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 | 0.000 | 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 teacher head, 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".