First year growth response of selected hybrid poplar cuttings to root-zone salinity
Bibliographic record
Abstract
Cuttings from four hybrid poplar clones (Walker, CanAm, Manitou, and Assiniboine) used in plantations and windbreaks on the Canadian Prairies were evaluated in their response to sulphate-based, root-zone salinity at Canada’s Salt-Tolerance Testing Facility. Vernalized, hardwood cuttings were planted in inert sand flushed four times daily with salinized, nutrient hydroponic solutions ranging in electrical conductivity from 2.2 to 30.9 dS m-1. The response in new growth was measured by the total summed length of new shoot growth, new shoot biomass, and the length of the main stem from its initial point as a bud on the cutting to its terminal tip. Based on these measurements analyzed statistically, Assiniboine cuttings out-performed those from the other clones. At 30.9 dS m-1, none of the cuttings from any clone sprouted new growth. At 21.4 dS m-1, poor growth and considerable dieback characterized all clones. At 13.8, 8.3, and 4.5 dS m-1, all cuttings subjected to root-zone salinity registered less growth compared with those cuttings growing in nutrient-only solutions (2.2 dS m-1), although the Assiniboine cuttings declined least. Based on this experiment, the descending salinity-tolerance order for the hybrid poplar clones tested using first-year growth from hardwood cuttings is: Assiniboine > Walker = CanAm = Manitou. Key words: Sulphate salinity, agroforestry, windbreak, Populus, shelterbelt, hybrid poplar
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".