Biomass of Microalgae via Root Under the Production of Yellow Passionfruit Seedlings
Bibliographic record
Abstract
Seedlings production is one of the most important stages of the production system and directly influences the performance of the plant in the field. In this sense, the present work aims to evaluate the use of biomass doses of Spirulina platensis and Scenedesmus sp. via root system on the production of yellow passion fruit seedlings. A greenhouse experiment was carried out using a randomized block design in a 2 × 5 factorial scheme (Spirulina platensis and Scenedesmus sp., at the doses 0.0%, 0.2%, 0.4%, 0.8 % and 1% m/v), with four blocks and two experimental units per plot. At 60 days, leaf number, total seedling length, shoot diameter, root system length, shoot length, shoot and root fresh mass, dry mass, root dry mass and total chlorophyll were measured. Spirulina platensis showed superior performance compared to Scenedesmus sp., for the variables stem diameter, shoot length, fresh shoot mass, fresh root mass, dry shoot mass and root dry mass. The doses influenced the number of leaves, root fresh mass, root dry mass, shoot length and fresh shoot mass significantly. The best dose of microalga applied was 0.8% in passion fruit seedlings at 60 days.
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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) | 0.000 | 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 | 0.001 |
| 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".