Absorption, Accumulation and Export of Macronutrients by Common Bean Irrigated, and Influenced by Nitrogen Fertilization
Bibliographic record
Abstract
The study was aimed at evaluating the absorption, accumulation and export of macronutrients, as well as the interference of the addition of N doses in the absorption of macronutrients by common bean (Phaseolus vulgaris L.) irrigated. This study was conducted using 4x4 factorial design, which included four nitrogen doses in seedling (0, 40, 80 and 120 kg ha-1) and four sidedressing nitrogen doses (0, 40, 80 and 120 kg ha-1). A second study was made to evaluate the curve of absorption of nutrients, with eight treatments defined per time of plant sampling on days after the emergence (DAE)-10, 20, 30, 40, 50, 60, 70 and 80 DAE. Nutrient content absorbed by leaves, stem, bark and flower, seeds and shoot were characterized at the end of bean cycle. The absorption of nitrogen (N), potassium (K) and calcium (Ca) increased with the addition of doses of N between 40 and 80 kg ha-1, and decreased at largest dose of N (120 kg ha-1) in sidedressing, suggesting the occurrence of phytotoxic effect in common bean by excess of N. The rate of maximum accumulation of nutrients in the leaves of bean was obtained between 28 and 31 DAE (R5-R6 stages). The absorption and export of nutrients in the shoot and seeds had the following order: K>N>Ca>S>P>Mg, and obtained in the shoot the accumulation of 136,118, 82, 21, 13 and 12 kg ha-1, respectively. Seeds were the component of plant with highest macronutrients accumulation, suggesting a high export rate of nutrients by the crop.
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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) | 0.000 | 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".