The Impact of Foliar Application of Urea, Zinc and Canada Humex on Yield and Fruit Properties of Jujube “C.V Puyin” Under Saudi Arabia Conditions
Bibliographic record
Abstract
The effect of foliar applications with urea, zinc sulphat and Canada Humex at 1 and 2% on yield and fruit quality of Jujube trees ‘Puyun’ was determined through 2012 and 2013 seasons. All treatments were applied twice (after 15 days of fruit set and one month after first spray). Fruit yield and its components were improved at all treatments during both seasons. Canada Humex applications enhanced physical and chemical characteristics but did not affect acidity content in first season only, as compared with other treatments and the control. Spraying with 2% level was more effective than spray 1% in all treatments. Canada Humex (2%) increased yield, fruit weight, flesh weight and fruit volume, SSC and reducing and total sugars. Also, urea and zinc sulphate 2% enhanced yield and quality of jujube fruit. Canada Humex improved fruit yield and quality compared to urea and ZnSO4. Canada Humex as a natural product, is more favorable to the consumer than other chemical compounds.
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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 | 0.000 |
| 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 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".