Marcha de absorção de nutrientes, produção e qualidade de hastes florais de plantas de tango (Solidago canadensis L.)
Bibliographic record
Abstract
With the purpose of characterizing the concentration and accumulation of nutrients on Canada Goldenrod leaves with different number of stems along a period, an experiment was driven on the greenhouse on the Floriculture Sector DFT/UFV, using the randomized block design, in factorial outline 3x7 (plants with one, two and three steams and collected in 0, 15, 30, 45, 60, 75 and 90 days). During the crop period, the plants where irrigated with nutritious solution, containing macronutrients (mmol/L): 3.6 N-NO3 -; 10.8 N-NH4+; 1.95 P-H2PO4-; 8.0 K+; 1.5 Ca2+; 1.0 Mg2+; 5.0 S-SO42- and micronutrients (µmol/L): 30.0 B; 5.0 Cu; 50.0 Fe; 40.0 Mn; 2.0 Zn; 0.1 Mo. The prune was made five days after the transplantation, and it consisted in the elimination of a centimeter of the plant apex. In each collect, the plants were separated in leaves, stems, inflorescences and roots. The following factors were evaluated, the number and length of the stems, dry and fresh matter weights of leaves and stems, number of leaves, leaf area, and the concentration and accumulation of N, P, K, Ca, Mg, S, Fe, Cu, Zn, Mn and B on the leaves. The pruning caused an increase on the production of the stems, and the length of the stems was in the standards required by the market for every treatment system. The production of dry and fresh matter of the plants with one, two and three stems was similar, and the fresh matter production of the plants with three stems was within the standards established for commercialization. The concentrations of the nutrients in the leaves decreased in the crop period depending on the dilution according to the earning of dry matter and the translocation of nutrients from the old organs to the growing tissues, except for Mn which had increasing concentrations throughout the entire period. There were no observations of deficiency and toxicity symptoms depending on the macro and micronutrients on the Goldenrod leaves. The accumulation on the leaves changed along with the growing curves, and it increased during the whole period following this order: K>N>Ca>Mg>P>S for macronutrients and Mn>Fe>B>Zn>Cu for micronutrients.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 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 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".