Transfer of calcium-45 and strontium-90 from medium to plant and their translocation in micropropagated potato
Bibliographic record
Abstract
The uptake and translocation of calcium-45 and strontium-90 were studied in potato (Solanum tuberosum) cv. Sierra micropropagated plantlets and cv. Norland microtubers. The absorption of Ca-45 or Sr-90 by plantlets was not significant as the concentrations of either CaCl2 or SrCl2 were increased in the treatment solution. However, the percentage uptake of Ca-45 decreased with increasing concentration of these salts. Uptake by roots, stems, petioles, and leaves differed significantly (p < 0.05) regardless of salt concentration. When shoot-tips were immersed in the treatment solutions containing various concentrations of these salts for 161 h while the plantlets were held in a vertically inverted position, considerable amounts of radiolabel were still translocated towards the roots. The Ca-45/Sr-90 ratio assumed a wide range of values as equal amounts of each radioisotope were fed either through root- or tip-immersion. A differential uptake and translocation between the isotopes occurred for the plantlets independent of feeding mechanism. A drop of Ca-45 or Sr-90 (18.5 kBq) onto the periderm of microtubers was restricted in movement to the periderm with virtually no penetration into the inner cortical or medulary tissues. The diffusion coefficient of Sr-90 on the periderm of Norland microtubers was estimated at 6.5 x 10-8 cm2/s.
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 | 0.001 |
| 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".