Using the water potential curve to identify the transition from water-consumptive to water-conservative behaviour in Cucumis melo
Bibliographic record
Abstract
As plants experience drought, transpiration is regulated by decreases in stomatal conductance (g s ) that can reduce carbon assimilation, biomass production and yield. The plant water potential (Ψ ) provides an estimate of the plant water status, and the relationship between predawn (Ψ pd ) and midday (Ψ md ) water potential (i.e. the water potential curve) could help determine when plants transition from water-consumptive (higher g s ) to water-conservative (lower g s ) behaviour. In this study, we apply the water potential curve framework (WP curve; i.e. Ψ pd ~Ψ md relationship) to an annual crop (Cucumis melo ). The WP curve was evaluated over several dry-down experiments in both greenhouse (GH) and field conditions. Leaf gas exchange and Ψ measurements were taken on the same days. Overall, the WP curve differed between environments and the shift from higher to lower g s occurred earlier (higher Ψ pd ) under GH conditions, likely driven by a smaller root system, reduced access to soil water availability and a more rapid onset of drought. The WP curve exhibited two phases divided by a breakpoint (Θ) at -0.5MPa (GH) and -0.72MPa (field) of Ψ pd that coincided with a g s reduction of 55% and 85% respectively. During phase I, plants reduced g s as the drought intensified without significantly compromising carbon assimilation (P n ). Yet, at Θ, P n decreased by 57% and 61% under GH and field conditions respectively. During phase II, leaves reached the turgor loss point (TLP) at a Ψ md of -0.83MPa (GH) and -1.3MPa (field) that were similar to the TLP estimated from bench-top leaf pressure curves. Our results suggest that the WP curve in melons identifies the transition from water-consumptive to water-conservative behaviour and sets a boundary at which plants substantially reduce leaf gas exchange. Hence, the WP curve could be used to select crop varieties able to endure longer periods of drought with minimal impact on carbon assimilation,and better manage irrigation based on estimates of Ψ pd to support effective use of water without a yield decrease.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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".