Productivity and Yield Components of Soybeans under Dose and Potassium Application Period in Piaui Savannah
Bibliographic record
Abstract
The objective of this study was to evaluate the efficiency of rates and application periods of K on soybeans in the Savannah in Piauí. The work was carried out in a dystrophic oxisol. The experimental design was randomized blocks with four replications in a factorial design, the treatments consisted of combinations of five potassium doses 30, 60, 90, 120 and 150 kg ha-1 (K2O) + witness (0 kg ha-1), applied at four different times: 100% at soybean sowing, 50% at sowing and 50% at 30 days after sowing (DAS), 100% at 30 DAS, 50% at 20 DAS and 50% to 40 DAS. Evaluated the following variables: height soybean plants, dry biomass, internal efficiency in the use of nutrient-K (IENU-K), number of pods per plant-1, number of grains per pod-1, a thousand seeds weight, grain harvest index and productivity. There was no effect concerning the period of application of K in the variables analyzed. Exceptions done for dry biomass and the number of pods per plant-1, the other variables were significantly influenced by K rates. All variables significantly influenced by the application of K rates showed quadratic response, in which, exception of IENU-K, the curves showed the highest values by applying 83 to 93 kg ha-1 K2O.
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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) | 0.000 | 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 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".