Morpho-physiological Response to Post-flowering Drought Stress in Small Red Seeded Common Bean (Phaseolus vulgaris L.) Genotypes
Bibliographic record
Abstract
Common bean (Phaseolus vulgaris L.) is grown in regions where water deficit during reproductive development significantly reduces yield. The objective of this study was to assess morpho-physiological response to post-flowering drought stress in small red seeded common bean genotypes of diverse origin under field conditions. Forty-nine genotypes were evaluated in a 7 x 7 simple lattice design under two soil moisture regimes, non-stress (NS) and drought stress (DS) growth conditions in Gofa, Southern Ethiopia. Drought stress was initiated at flowering stage by withholding application of irrigation water. Significant differences were found among genotypes and between the soil moisture regimes except for days to flowering for the morpho-physiological traits considered. Drought stress reduced seed yield, harvest index (HI), seed per pod, seed per plant and 100-seed weight by 59%, 39%, 15%, 29% and 19%, respectively. Drought-induced reduction in seed yield of the tested genotypes ranged from 9% in ECAB-0427 to 89% in REDWOLAITA. With the highest yield of 1365.7 kg ha-1 under drought stress, ECAB-0427 was the most drought tolerant genotypes, whereas with the lowest yield of 111.9 kg ha-1, REDWOLAITA was the most sensitive genotype to the stress imposed. Superior performance of ECAB-0427 under drought stress was attributed to the maintenance of higher leaf area index (LAI) (2.8) and pod harvest index (PHI) (67.6) compared with a LAI and PHI of 0.8 and 22.1, respectively, for REDWOLAITA. Yield under drought stress was correlated with yield under non-stress (r = 0.68, p<0.01) implying that selection under drought conditions may lead to the identification of genotypes suitable for optimal conditions. Significantly higher correlation detected between GM (geometric mean) and seed yield under drought stress (r = 0.95, p<0.01) entail that the drought index can be used as one of the most important selection criteria in identifying drought resistant small red bean genotypes.
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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".