Influence d'une hydromorphie modérée ou sévère sur la production de biomasse et les échanges gazeux de plants de peuplier euraméricain
Bibliographic record
Abstract
Seedlings of three poplar clones (I-488, Rimini, and D-64) grown in plastic pots were submitted to three water regimes: (1) irrigated and well-drained control (T); (2) flooded with running water (Hr = 6 mg·L–1 of O2); and (3) flooded with stagnant water (Hs = 2 mg·L–1 of O2). A permanent water table was maintained at 5 cm above the soil surface for 2 months. The Hr and Hs treatments simulate the conditions of hydromorphic soils chosen for planting poplar in Tunisia where the attempts failed because of the lack of knowledge relating to the degree of tolerance of this species to waterlogging. Waterlogging significantly reduced growth (leaf initiation was inhibited, root decay and early leaf abscission occurred) and modified photosynthetic activity (stomatal closure and reduction of CO2 net assimilation rates). Intracellular CO2 values did not significantly differ between treatments (T, Hr, and Hs), indicating that both stomatal and nonstomatal limitations could be responsible for reducing CO2 net assimilation. However, the degree of disruption varied according to the treatment. Stagnant regime Hs had negative and irreversible effects on CO2 net assimilation rates and internal CO2 conductance for the full length of the treatments with stomatal closure after 40 days in Rimini and D-64 clones. The Hr treatment produced limited reactions; the development of hypertrophied lenticels and adventitious roots alleviated the negative effects of waterlogging with a distinct recuperation of net photosynthesis and CO2 internal conductance particularly for clone I-488. In the same way, the development of root adaptations was greater for I-488 than Rimini and D-64 clones, probably indicating a higher tolerance to flooding in the former clone. This approach could be used to select the clones intended for afforestation of the nonsaline hydromorphic areas.
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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 | 0.000 |
| 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".