Pulp or Potential? Magneto-Priming as a Seed Priming Technique Has Little Effect on Seedling Performance but Results in Significant Alteration of trans-Zeatin and cis-Zeatin in Soybean (Glycine max)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Magneto-priming (MP) has been reported as a sustainable method to enhance crop yield and resistance to adverse environmental conditions; however, any physiochemical basis for these findings remains unavailable. In the present study, soybean (Glycine max) seeds (n = 232) were exposed to a static magnetic field (SMF) of 150–205 mT for 60 min. The effect of SMF exposure on seedling mass, hypocotyl length, radicleemergence rate, total seedling height, leaf area, chlorophyl content, and physiological attributes was evaluated. Differential analysis of the cytokinin (CK) profile of seedling tissues was achieved using ultra-high-performance liquid chromatography coupled with electrospray-ionization high-resolution tandem mass spectrometry (UHPLC-(ESI)-HRMS/MS). Results indicate that MP seedlings achieved radicle emergence earlier; however, no other statistically significant differences could be established. The absence in significant improvement in the agronomic and physiological attributes measured is in stark contrast to the results reported in other studies. Nonetheless, significant differences were found in the concentrations of trans-Zeatin (tZ) and cis-Zeatin (cZ) between control and MP plants. These results are incongruent as it would be assumed that insignificant differences in agronomic and physiological properties would align with phytohormone profiles. Future work should be performed to determine if there are any meaningful bioeffects that can be assigned to MP-generated hormone changes.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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) | 0.000 | 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 it