Changes in leaf nitrogen and phosphorus content, photosynthesis, respiration, growth, and resource use efficiency of a rapeseed cultivar as affected by drought and high temperatures
Bibliographic record
Abstract
The objective of this study was to explore the changes in leaf nitrogen (N) and phosphorus (P) content, physiological processes, growth, and resource-use efficiency in a rapeseed cultivar under drought and (or) high temperatures. The two-wk-old plants were grown under controlled growth chamber conditions and subjected to individual or combined water (well-irrigated, 88% ± 4% field capacity vs. drought, 46% ± 5% field capacity) and temperature (control, 23 °C/17 °C vs. high temperatures, 26 °C/25 °C) regimes for 10 d. The measured response parameters were [N], [P], and their total content in leaves, photosynthetic rate (A sat ), stomatal conductance (g s ), intercellular CO 2 concentration (C i ), mitochondrial respiration (R), intrinsic water use efficiency (WUE i ), photosynthetic N use efficiency (PNUE), relative growth rate of the root (RGR r ) and shoot (RGR s ), leaf area, and dry matter accumulation in the plant. Drought significantly decreased [N], [P], and their total content in leaves, A sat , g s , C i , RGR r , RGR s , leaf area, dry matter accumulation in the root, shoot, and whole plant, and PNUE, but significantly increased R and WUE i . Drought-induced reduction in growth or A sat was mainly attributed to a decreased C i due to stomatal closure, while reduction in g s and leaf area appeared to be a drought-adaptive mechanism. High temperature stress alone had no negative impact on physiological and growth parameters, indicating an enhanced thermal stability of the cultivar, which was diminished at combined drought and high temperature stresses. We therefore conclude that the thermal stability of the cultivar in terms of growth was compromised under simultaneous occurrence of drought and high temperature stresses.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".