Dry Bean Response to Salinity in Southern Manitoba
Bibliographic record
Abstract
Expansion of dry bean ( Phaseolus vulgaris L.) production into saline soil areas of Manitoba has led to increased concern regarding its yield and quality response to soil salinity. The objective of this study was to evaluate the impact of salinity on dry bean productivity in southern Manitoba, including the application of a salt tolerance model for dry bean crops. Using a coulter‐based sensor (Veris 3100, Veris Technologies, Salina, KS) to measure apparent soil electrical conductivity (EC a ), surveys of dry bean fields with five levels of soil salinity conditions (very low to very high salinity zones) were created for four sites over 2 yr. High values of EC a were associated with high values of soil saturation extract electrical conductivity (EC e ). Across all site years, average root‐zone salinity (EC e ) values ranged from 0.77 to 11.16 dS m −1 The lowest salinity zones resulted in greater crop biomass, grain yield, harvested seed weight, and grain number, and tended to have greater plant stand densities and grain protein content than the highest salinity zones. A 50% decrease in relative crop yield was caused by EC e values between 4.88 and 8.35 dS m −1 EC a surveys were found to be an excellent tool for assessing the relative soil salinity status of study fields.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".