Effects of elevated CO<sub>2</sub>, drought and temperature on the water relations and gas exchange of groundnut<i>(Arachis hypogaea)</i>stands grown in controlled environment glasshouses
Bibliographic record
Abstract
Stands of groundnut (Arachis hypogaeaL. cv. Kadiri‐3) were grown in controlled environment glasshouses at mean atmospheric CO2concentrations of 375 or 700 μmol mol−1and daily mean air temperatures of 28 or 32°C on irrigated or drying soil profiles. Leaf water (Ψl) and solute potential (Ψs), relative water content (RWC), stomatal conductance (gl) and net photosynthesis (Pn) were measured at midday for the youngest mature leaf throughout the growing season. Elevated CO2and temperature had no detectable effect on the water relations of irrigated plants, but higher values of RWC, Ψland Ψswere maintained for longer under elevated CO2during progressive drought. Turgor potential (Ψp) reached zero when Ψldeclined to −1.6 to −1.8 MPa in all treatments; turgor was lost sooner when droughted plants were grown under ambient CO2. A 4°C increase in mean air temperature had no effect on Ψsin droughted plants, but elicited a small increase in Ψl; midday glvalues were lower under elevated than under ambient CO2, and Ψland gldeclined below −1.5 MPa and 0.25 cm s−1, respectively, as the soil dried. Despite the low glvalues recorded for droughted plants late in the season, Pnwas maintained under elevated CO2, but declined to zero 3 weeks before final harvest under ambient CO2. Concurrent reductions in gland increases in water use efficiency under elevated CO2prolonged photosynthetic activity during drought and increased pod yields relative to plants grown under ambient CO2. The implications of future increases in atmospheric CO2for the productivity of indeterminate C3crops grown in rainfed subsistence agricultural systems in the semi‐arid tropics are discussed.
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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".