Effects of magnetized water treatment on growth characteristics and ion absorption, transportation, and distribution in <i>Populus</i> × <i>euramericana</i> ‘Neva’ under NaCl stress
Bibliographic record
Abstract
The effects of magnetized water irrigation on the growth and ionic movements of one-year-old potted seedlings of Populus × euramericana ‘Neva’ were investigated. A magnetic treatment device was used to treat the plants. The contents of K+, Na+, Ca2+, and Mg2+ in leaves and roots were analyzed by atomic absorption spectrophotometry (AAS), and the fluxes of K+, Na+, Ca2+, Mg2+, and H+ in mesophyll cells and in meristematic zones were measured using a noninvasive micro-test technique (NIMT) after 30 days of treatment. After 90 days, the plants were harvested, and their growth indices and root morphology were measured. The results showed that (i) compared with nonmagnetic treatments (NMT), the magnetic treatments (MT) led to higher K+ and Mg2+ contents and lower Ca2+ content in roots and leaves, while the Na+ content was lower and the K+/Na+ ratio was higher; (ii) MT enhanced Na+ efflux, increased H+ influx, and decreased K+ and Mg2+ efflux compared with NMT; (iii) MT resulted in greater height, diameter, and leaf area of the plants and increased the length, surface area, and number of root tips compared with NMT; and (iv) stomatal conductance (Gs), net photosynthetic rate (Pn), intercellular CO2 concentration (Ci), and water use efficiency (WUE) were increased in MT, whereas both transpiration rate (Tr) and stomatal limiting value (Ls) were decreased compared with NMT. The results indicate that the use of magnetized water can promote plant quality and regulate the ion absorption, transpiration, and distribution. Thus, MT is conducive to the re-establishment of ionic homeostatic mechanisms via ion-selective absorption and transportation under salt stress.
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) | 0.000 | 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 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".