10.51847/VULZsqgqHH
Bibliographic record
Abstract
Right choice of the suitable medium contributes a lot in the successful ornamental flower production.The present study was conducted to evaluate the effect of various growing substrates on the growth and development of miniature rose cultivar "Baby Boomer".Four different growing substrates with variable composition and combinations with peat, farm yard manure, silt and leaf mold and their combinations with each other were compared using garden soil as a control.There were 4 treatments in the experiment and each treatment was consisting of 10 plants and these plants in pots were arranged according to completely randomized design (CRD) which was replicated thrice.Data regarding different growth attributes including plant height, number of leaves per plant, number and length of branches per plant and yield attributes included number of flowers per plant, diameter of flowers, fresh and dry weight of flowers were recorded and analyzed statistically by using Fisher's analysis of variance technique and means were compared for significance by using Least Significant Difference (LSD) test at 5% probability level.Results indicated that the medium consisting of leaf compost exhibited overall better performance as compared to other media for various vegetative growth characteristics including plant height, number of leaves per plant, number and length of branches per plant and some reproductive growth parameters like number and diameter of flowers, and while the medium consisting of peat also showed better results to produce maximum fresh and dry weight of flowers.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.703 | 0.532 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".