Effect of the Incorporation of Hydrogel on the Growth of Dendrocalamus asper and Bambusa vulgaris var. Vittata Seedlings
Bibliographic record
Abstract
Hydrogel has important functions, being a soil and substrate conditioner, improving the ability to retain water and nutrients, making them available and improving the development of bamboo seedlings in nursery. The objective of the study is to evaluate the effect of different doses of hydrogel on the development and quality of seedlings of Dendrocalamus asper and Bambusa vulgaris Schrad. var. vittata. Additionally, it was to investigate on the three types of propagules (Lateral regrowth + disc, Lateral regrowth and Disc). Four doses of hydrogel (1, 2, 3 and 4g) were used and one fifth treatment control (0g). The recorded traits were numbers of shoots and roots and their variations in relation to size and weight. Every 60 days the height of the shoot (cm) and the number of shoots were measured. At 180 days, shoot dry weight and root dry weight were performed. For all variables, the disc propagule was the one that provided the greatest growth and establishment of the seedlings, which was indicated for the production of seedlings by cutting. For the hydrogel, the dose 4g/liter was the one that proposed more vigorous seedlings, showing that the incorporation in this amount is ideal, with values of 117.1 and 113.1 for the aerial part for Dendrocalamus asper and Bambusa vulgaris respectively. Regarding the number of roots the highest values were 49 for Dendrocalamus asper and 64.3 for Bambusa vulgaris.
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) | 0.000 | 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) | 0.001 | 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".