Differential performance of pinto bean under varying levels of soil moisture
Bibliographic record
Abstract
Common bean (Phaseolus vulgaris L.) is a relatively new crop in western Canada. Considerable effort is currently underway in Saskatchewan to expand bean production under both irrigated and rainfed conditions. The objectives of this study were to evaluate the performance of pinto bean genotypes under irrigation in the field and to determine the presence of phenological plasticity among specific pinto bean genotypes when subjected to intermittent drought stress. Six bean genotypes, three determinate and three indeterminate, were grown under irrigated conditions in the field in Saskatoon, SK, in 1994 and 1995. The same genotypes were grown under well-watered and drought stress conditions in the growth room. In the field, indeterminate genotypes were superior in seed yield. The indeterminate genotypes were also superior in seed yield in the growth room under well-watered conditions. Two indeterminate genotypes and one late-maturing determinate genotype performed well when drought stress was intermittent, but yielded the same or less than the early-maturing determinate types when drought stress was severe. The indeterminate genotypes and one late-maturing determinate genotype showed stronger recuperative growth than early-maturing determinate genotypes when released from drought stress. Recuperative growth resulted in delayed maturity relative to growth under optimum soil moisture levels, but it had little effect on other characteristics. Key words: Phaseolus vulgaris, common bean, pinto bean, genotype, drought stress
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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) | 0.000 | 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".