Physiological Responses of Physalis angulata Plants to Water Deficit
Bibliographic record
Abstract
It’s known that drought affects crop growth, however, little is known about the physiological responses developed under these conditions by underexploited species, such as Physalis angulata. This study aimed at assessing the physiological responses of Physalis angulata plants after 40 days under different water availability (100%, 80%, 60%, 40% and 20% of pot field capacity). In this research, the effects of the water deficit on the relative water content, water potential, gas exchange, sugars accumulation and activity of nitrate reductase were evaluated. Water relations were affected mainly in plants under severe water deficit, however, the variables remained stable when cultivated at sub-optimal levels of field capacity. Gas exchanges were also affected by water deficit, with reduction in carbon assimilation, internal carbon, stomatal conductance and transpiration, as well as increased leaf temperature and water use efficiency. Plants accumulated sugars as a mechanism of tolerance to severe water deficit, while nitrate reductase activity was reduced. P. angulata plants develop important strategies to tolerate water deficit, contributing to the establishment of crops under low water availability.
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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".