Response of an Indeterminate Soybean {<i>Glycine Max</i> (L.) Merr} to Chronic Water Deficit During Reproductive Development Under Greenhouse Conditions
Bibliographic record
Abstract
Although crops are commonly exposed to chronic moderate water deficit stress, most research has been focused on catastrophic and extreme moisture deficit stress. A greenhouse experiment was conducted to: (i) assess the impact of chronic water stress, during reproductive development, on soybean growth and productivity; (ii) determine the effects of water stress on soybean canopy architecture; and (iii) evaluate changes in canopy reflectance due to water deficit. Soybean plants were grown under three moisture regimes: daily watering at 100% (control), 50% (medium stress W2) and 25% (severe stress W1) of evapotranspiration. Water stress during reproductive development decreased plant physiological activity, vegetative growth, and productivity and had a visible impact on plant canopy architecture at both stress levels. Water deficit reduced leaf chlorophyll content at the severe stress level. At the physiological level, the major effect of chronic water stress was a decrease in stomatal conductance. Water stress decreased the rate of plant vegetative growth for all variables measured, suggesting that water deficit during reproductive growth might have induced an early switch of plant development from vegetative to reproductive. Water deficit, at W1 and W2, did not affect the pod dry weight to total canopy dry weight ratio. This suggested that the proportional allocation of dry matter to reproductive structures was maintained and, although the stress was imposed during reproductive development, vegetative and reproductive structures were equally affected. This may be a function of the indeterminate nature of the soybean cultivar. Paraheliotropism behaviour was observable at W2, but not at W1. Thus, there might be a threshold stress level beyond which leaf movement cannot be activated, preventing control of transpiration through canopy movement. Water stress affected the spectral reflectance signature of soybean leaves, increasing leaf reflectance in the visible and decreasing it in the infrared spectral ranges at both stress levels.
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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 | 0.001 |
| 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".