Evaluation of hybrid tea rose varieties for flower quality and yield contributing traits
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The study was carried out with 42 hybrid tea rose varieties during June, 2013 to March, 2014 to determine their performance for quality traits, yield and yield contributing traits after October pruning. Among different varieties, maximum length of flower bud (4.02 cm) was recorded by Forever, while variety Apartie showed minimum length of flower bud (2.36 cm). Maximum flower bud diameter (3.10 cm) was recorded in Forever and the minimum (1.87 cm) in Apartie. Maximum flower stalk length (50.15 cm) was found in Chardony while the minimum (9.73 cm) was recorded in New Zealand. Kentucky Derby exhibited maximum weight of flower (14.80 g) and minimum flower weight (7.04 g) was found in Apartie. Maximum number of petals per flower (50.05) was recorded in Hot Pewter, while the minimum was observed in Aparties (19.50). The duration of flowering (119 days) was maximum in Alliance and the minimum was in Grace de Monaco and Rosemary Harkness (76 days). Based on the overall evaluation of varieties for quality, yield and yield contributing traits, Alliance, Melody, Roter Champagner, Melame, Kentucky Derby, Forever, Montreal, and National Trust were found superior and suitable for Nagpur conditions.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.010 | 0.007 |
| 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 it