STUDIES ON THE CHEMICAL COMPONENTS OF MORINGA OLEIFERA PLANT GROWN UNDER EGYPTIAN CONDITIONS
Bibliographic record
Abstract
This study was conducted in Department of Medicinaland Aromatic Plants, Horticultural Research Institute, ARC, Dokki, intwo successive seasons of 2012 and 2013 on Moringa oleifera plant in4 (four) different regions in the Upper Egypt (A1 and A2) and Delta(A3 and A4). It aimed to study the effect of different environments onchemicals and food ingredients, as well as determine the adaptation todifferent environments to identify the best region for growth. Theseeds were germinated in the greenhouse of National Gene Bank, andthen seedlings were transferred into (A1, A2, A3 and A4 regions) inplots with 20 × 30 m distance with 2 m distance between the plant and3 m distance between rows. Samples were taken in different growthstages (2, 4, 6, 8, 10 and 12 month).The obtained results showed that there were significant differencesin chemical components in the whole regions under study. The region(A1) showed the best values in respect to acid ascorbic (vitamin C),beta carotene (vitamin A), thiamine (vitamin B1), riboflavin (vitaminB2), niacin (vitamin B3), and tocopherols (vitamin E), calcium, iron,protein, zinc and phosphorus at a rate value higher than the region (A2)by 2%, region (A3) by 15% and region (A4) by 8%. The obtainedresults explained that the differences among regions in chemical andfood components during plant growth. The best results were obtainedfrom the Upper Egypt under study in respect to the quantity ofnutrition in addition to region (A4) which were good for cultivating ofMoringa tree in Egypt.
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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) | 0.001 | 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".