Reducing the Chemical Fertilizer by Nano Fertilizers in Two Varieties of Potatoes (Solanum tuberosum L.)
Bibliographic record
Abstract
Abstract The study was conducted in the field of vegetables at the Department of Horticulture and Landscape, the University of Mosul, during the spring season of 2021 to demonstrate the possibility of reducing the ground addition of NPK fertilizer by foliar Nano NPK fertilizer with two concentrations (2 and 4 g l -1 ) in two potato cultivars Montreal and Arizona, The study was conducted in split plots system based on of RCBD, cultivars Factor as a main plots, the fertilizer combinations arranged in the subplots with three replicates, and the results were as follows: The treatment of the fertilizer combination 50% ground fertilizer + 4 g l -1 Nano fertilizer in the Arizona variety (T2) significantly increased the number of total and marketing tubers, the fertilizer combination 50% ground fertilizer + 4 g l -1 Nano fertilizer in Montreal variety (T2) significantly increased total and marketing average weight tuber, total and marketing yield of the plant, the whole and marketing yield of tubers (52.866 and 51.088 t ha-1), respectively, the fertilizer combination of 25% ground fertilizer + 4 g l -1 Nano fertilizer increased the rate of dry matter and starch in tubers (18.48 and 12.48%) respectively.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| 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 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".