RESEARCH ON THE INFLUENCE OF ORGANIC AND MINERAL FERTILIZERS ON RAPESEED YIELD AND ASH COMPOSITION OF ITS OIL SEEDS
Bibliographic record
Abstract
The article presents results of a field experiment with application of mineral (NPK and zeolite) and organic fertilizers in the technology of spring rapeseed cultivation, as well as a comparative analysis of the ash composition of rape seeds of Rif variety, depending on the variants of the research. Six variants were studied: growing plants without fertilization (control); mineral fertilizer N60: P60: K60 alone and in combination with zeolite (5 t/ha); pure zeolite (5 t/ha); chicken manure (5 t/ha) alone and in combination with zeolite (5 t/ha). Accumulation of nine main elements (wt., %) contained in the ash of spring rapeseed seeds was studied by the method of energy dispersive spectrometry (X-Ray-analysis). The order of element accumulation was determined: P ≈ K>Mg ≥ Ca>Mo> S>Zn>Mn>Fe. The proportion of P is from 10.852 to 11.855 wt. %; the proportion of K is from 9.933 to 12.343 wt.%; Mg, Ca and Mo are present in rape seeds in similar concentrations within 4.0 -5.8 wt.%. Mutual usage of zeolite and organic fertilizer provided an increase of mineral accumulation in the seeds. Correlations between the elements were established. Higher level of macro- and microelements in seeds, necessary for humans, brings about good perspectives to create functional products based on the studied rape seeds for food enrichment. Positive effect of combined organo-mineral fertilizers on accumulation of mineral substances in rape seeds was established.
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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 | 0.001 |
| 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 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".