Seed germination of selected crop and graminoid species in response to treatment with sodium chloride and oil-field brine solutions
Bibliographic record
Abstract
Oil and gas development is often associated with the production of produced water or “brine”, which is a solution of dissolved salts (NaCl ≈ 90%) exhibiting electrical conductivity (EC) upwards of 200 dS m−1. Accidental releases of brine to soils inhibit seed germination through osmotic and ionic stressors. The final germination (FG; %) of four crop species, Hordeum vulgare L. (barley), Helianthus annuus L. (sunflower), Carthamus tinctorius L. (safflower), Beta vulgaris L. (sugar beet); and four graminoid species, Pascopyrum smithii (Rydb.) Barkworth & D.R. Dewey (western wheatgrass), Elymus hoffmannii K.B. Jensen & Asay (AC Saltlander), Leymus triticoides (Buckley) Pilg. (beardless wildrye), and Elymus trachycaulus (Link) Gould ex Shinners (slender wheatgrass), were determined using sodium chloride (NaCl) and brine solutions prepared at EC levels of 0, 4, 8, 16, 24, and 32 dS m−1. No differences (p > 0.05) in FG were found between NaCl and brine solutions across graminoid species or the crop species barley, sunflower, and sugar beet. AC Saltlander had the highest FG (81.9%) at the maximum EC level (32 dS m−1), compared with 47.2% and 0.8% for western wheatgrass and beardless wildrye, respectively. Within crop species, safflower exhibited the highest germination (10%–30%) across both solutions at 32 dS m−1. Barley (0%–2.9%), sugar beet (4.9%–7.7%), and sunflower (0%–1.4%) exhibited low germination at 32 dS m−1. The implications of this experiment are that previously established NaCl tolerance indices may be used to accurately determine the FG of plant species in brine-contaminated soils and that AC Saltlander, as well as western wheatgrass, have the highest FG at 32 dS m−1, indicating these species may have the greatest potential for successfully revegetating brine-contaminated soils.
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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".