PENGARUH PEMBERIAN PUPUK KCl TERHADAP N, P, K TANAH DAN SERAPAN TANAMAN PADA INCEPTISOL UNTUK TANAMAN JAGUNG DI SITU HILIR, CIBUNGBULANG, BOGOR
Bibliographic record
Abstract
KCl is an inorganic fertilizer needed by maize plant for photosynthesis processes, vegetative crop growth, improving yield in the forms of flower and fruit. The purpose in this study was to understand the effect of KCl on soil N, P, and K, and nutrient uptake by maize plant. Treatments tested in this study were P0 = control; P1 = KCl 100 (from Canada); P2 = KCl 25 (froml Rusia); P3 = KCl 50 (from Rusia); P4 = KCl 75 (from Rusia); P5 = KCl 100 (from Rusia); P6 = KCl 125 (from Rusia); P7 = KCl 150 (from Rusia). Each treatment was supplied with Urea 350 kg ha-1 and SP-36 250 kg ha-1 as basal fertilizers. Results of this study showed that that application of different doses of KCl fertilizer significantly affected maize yield as well as N, P, and K uptake by maize. The highest dry seed yield of 6.97 t ha-1 was observed for the P5 treatment. The highest N uptake of 34.68 kg ha-1 was observed for the P1 treatment, the highest P uptake of 8.58 kg ha-1 was on the P7 treatment, and the highest K uptake of 23.38 kg ha-1 was on the P7 treatment. Application of KCl fertilizer resulted in residual N, K and P that ranging from 0.0769-0.0821%, 64.24-104.44 ppm, and 0.261-0.326%, respectively
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".