Brassinosteroid Combined With Indolbutyric Acid in Blueberry Micropropagation
Bibliographic record
Abstract
The lack of availability of good quality seedlings for blueberry cultivation is an obstacle in the market, preventing the increase of production and cultivated areas. In order to improve rooting of blueberry in vitro, different concentrations of BIOBRAS 16® associated with indolbutyric acid in blueberry micropropagation were evaluated. For such a purpose, the Wood Plant Medium (WPM) culture medium plus the following plant regulators: 0.1, 0.3 and 0.5 mg L-1 brassinosteroids (BIOBRAS 16®) in conjunction with indolbutyric acid (IBA) concentrations of 1.3 and 5 mg L-1, with four replications were taken into account. At the end of 82 days of cultivation and development of the explants in these culture media, the following response variables were assessed: callus percentage (CP), callus diameter (CD), rooting percentage (RP), number of shoots (NS), number of leaves (NL), shoot length (SL), root length (RL) and fresh mass of shoots (FMS). CP was found to be stimulated in so far as concentrations of BIOBRAS 16® and IBA increased up to 0.5 mg L-1 and their diameter increased at concentrations of 3.0 and 5.0 mg L-1 for IBA. Thus, it is concluded that a combination of 0.3 mg L-1 BIOBRAS 16® combined with IBA concentrations of 3.0 and 5.0 mg L-1 contributes to promote root growth and rises in leaf number and fresh mass of micro-propagated blueberry. The use of a 0.3 mg L-1 of BIOBRAS 16® associated with concentrations of 3.0 and 5.0 mg L-1 of IBA showed a high percentage of root formation in blueberry.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
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".