Accumulation, absorption et assimilation des nitrates chez différentes variétés de blé tendre marocain : influence de la lumière
Bibliographic record
Abstract
The absorption, the exsorption, and the reduction of NO3- ions were examined in light and in darkness in relation to the prior accumulated nitrates in various seedling parts of four Moroccan tender wheat genotypes: Marchouch, Jouda, Khair, and Sais. The genotype Sais has the highest quantity of accumulated nitrates, and the genotype Khair has the lowest. Distribution of nitrates between the roots and shoots of these wheat varieties showed that, for each variety, the shoot accumulates three to five times more NO3- than the roots. Seedlings of the different varieties exposed to light showed a higher absorption and reduction of nitrates than seedlings exposed to darkness. The exsorption of nitrates of plants that are subjected to light was significantly lower than that of the seedlings exposed to darkness. This suggested that the stimulation of NO3- absorption, observed in plants that were exposed to light in comparaison with darkness, could be partly explained by the diminution of nitrate exsorption. The quantitative examination of N-nitrate in roots of plants that were exposed to light showed the presence of quantities of NO3- similar to those of the seedling roots maintained in darkness. These results suggest, that by stimulating the reduction of nitrates, light contributes to a substantial increase of nitrate ion absorption by means of a diminution of ion exsorption out of root cells.
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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 | 0.001 | 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".