Morphological, Physiological and Nutritional Effects of Irrigation Frequency on Macaúba Palm Seedlings
Bibliographic record
Abstract
The commercial nurseries of macaúba palm (Acrocomia aculeata) have experienced excessive seedling mortality, which is possibly due to the lack of information about the proper growing practices. The goal of this study was to investigate the response of macaúba seedlings to water stress using different irrigation frequencies during the early seedling stage. The experiment was carried out in a macaúba palm nursery located in João Pinheiro, Minas Gerais, Brazil. The treatments started 30 days after sowing. At 90 days after sowing, the morphological (number of leaves, stem diameter, shoot length, root weight and the fresh and dry matter content of leaves, stem and roots), physiological (allocation of photosynthates) and chemical (nutrient content in the shoot) characteristics were evaluated. The results indicated that shoot height and stem diameter became smaller as the frequency of irrigation was reduced. However, the accumulation of fresh biomass in leaves and stems, and the leaf and root dry biomass became higher under the same condition. When water stress was induced in younger seedlings, the allocation of photosynthates occured more proportionally across all organs of the plants. The highest accumulation of K, S and Fe in the shoot were observed in plants that were exposed to water stress. N accumulation was higher in the aerial part of the seedlings as the irrigation frequency increased. However, the opposite behavior was observed for P, which accumulation was lowest in the control treatments.
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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".