The Effect of Shading, Organic Fertilizer( vermicompost ), and Chelated Iron on the Vegetative Growth Characteristics of Gardenia jasmoida
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Bibliographic record
Abstract
The experiment was conducted in a private nursery (Mohammed Nursery) located on Erbil Road in Kirkuk, situated at 44.38°E longitude and 35.58°N latitude. The experiment lasted five months from 01/04/2022 to 01/10/2022 to study the effects of shading with two levels: 0% (under direct sunlight) and 75% (under saran cover), as well as the effect of organic fertilizer (vermicompost) at two levels: 0% and 25%, where the fertilizer was added and mixed with loamy soil. The experiment was conducted using a completely randomized block design. The plants were randomly arranged on the experimental units with three replicates. Duncan's multiple range test was used to compare the means at a probability level of 0.05%.The results indicated that the 75% shading had a significant effect on some characteristics, such as plant height, dry leaf weight, and leaf area, which reached (82.27 cm), (12.14 g), and (3086.10 cm²) respectively. On the other hand, plants grown under direct sunlight showed a significant increase only in stem diameter (10.69 mm).Regarding the effect of organic fertilization, a significant increase was observed with the use of 25% vermicompost on the following characteristics: plant height (73.55 cm), dry weight (12.63 g), and chlorophyll content in leaves (29.24 CCI).It was also found that the use of chelated iron had a significant effect on most characteristics, where the concentration of 0.2 g.L⁻¹ resulted in the highest significant increase in plant height (75.00 cm), main stem diameter (10.37 mm), dry weight (15.35 g), and chlorophyll content in leaves (29.10 CCI).
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| 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 it