PS&C Prairie Soils & Crops Journal Principles and Crop Yield Response To Root-Zone Salinity
Bibliographic record
Abstract
Agricultural salinity stems from the concentration of salts dissolved in soil waters. It is caused by subsurface hydrologic processes and can seriously affect some 20 million hectares across the Canadian Prairies. Although root-zone salinity reduces crop yield, some crops tolerate saline rooting environments better than others. A Salinity-Tolerance-Index specifies the degree of tolerance and yield maintenance for each crop. The salinity causing a 50% product loss (C50) and an average decline in relative crop yield with a unit increase in salinity (s) at and near C50 provides an abridged list of indices for Canadian crops. Agricultural Salinity Salinity has plagued agriculture in arid and semiarid climates for thousands of years. Whenever surface waters or near-surface ground waters encounter drainage impediments in soils, subsoils, or near-surface geologic materials, possibilities exist for increases in salt concentrations within soil solutions, especially if the waters contain dissolved salts. In arid lands, salinization stems mostly from the distribution and collection of irrigated waters in amounts incompatible with the water-holding and drainage capacities of the soils. In semiarid regions, the salinity of soil solutions can increase from the accumulations and slow movements of subsurface waters originating from natural precipitation in association with saline deposits. The waters dissolve salts enriching subsurface solutions with calcium, magnesium, sodium, potassium,
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.017 | 0.002 |
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".