Flooding and salinity reduces AC saltlander green wheatgrass and smooth bromegrass productivity
Bibliographic record
Abstract
Abstract Flooding alone or with salinity occurs widespread in North America inhibiting plant productivity. Waterlogging refers to the saturation of the soil with water where the root system of plants are submerged, however, the ability of AC Saltlander green wheatgrass (Elymus hoffmannii Jensen & Asay, ACS) and smooth bromegrass (Bromus inermis Leyss., SB) to tolerate waterlogging or with salinity remains unknown. Two experiments were conducted in a phytotron to evaluate the effects and the recovery of ACS and SB following water receding. An incomplete Latin square design was used with six treatments [two species × three waterlogging durations (no waterlogging, 3 and 5 wk of waterlogging)]. Neither the 3 nor 5 wk of waterlogging had effects on forage yields, plant heights, or root biomass for ACS; while for SB all characteristics decreased in both duration treatments. Waterlogging combined with salinity further decreased forage productivity and root biomass for both ACS and SB. Both species resumed regrowth after the excess water receded, and their regrowth yields and nutritive values were similar in either waterlogging or salinity alone, although ACS regrowth yields were higher than SB after 3 and 5 wk of waterlogging with salinity. Therefore, ACS performed better than SB in areas that have the risk of spring waterlogging alone or with moderate salinity. The implication of this research is that waterlogging risks can be partially minimized by careful management.
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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 | 0.000 |
| 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) | 0.001 | 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".