High Root Biomass Production in Anchored <i>Arabidopsis</i> Plants Grown in Axenic Sucrose Supplemented Liquid Culture
Bibliographic record
Abstract
There are many benefits to growing Arabidopsis in solution-based media, especially when large amounts of root tissue are required for molecular and biochemical studies. Roots grown in soil are brittle and tend to break easily when removed from their substrate. We have developed an axenic liquid culture system that simplifies growing large amounts of roots from intact plants. This technique consists of germinating 15 seeds on 2.5 cm2 stainless steel screens placed on half-strength semisolid Murashige and Skoog medium containing 1% or 2% sucrose. The screens anchor and support the plantlets in an upright position while keeping the roots and shoots separate. The seedlings are transferred with forceps to 125-mL wide-mouth Erlenmeyer flasks containing 10 mL of half-strength Murashige and Skoog liquid medium and 1% sucrose. The flasks are placed onto a floor rotary shaker under fluorescent lights. After 3 days, the sucrose is increased to 3% and the volume to 15 mL for 7 days. During any further experimental manipulations, sucrose is not supplied. The media is changed every 3-4 days to replenish the nutrients. The presence of sucrose in the media dramatically increases the biomass, and large amounts of root tissue can easily be harvested.
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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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".