Morphological Evaluation and Selection of Gladiolus (Gladiolus×Hybridus L.) Hybrids for Commercial Traits
Bibliographic record
Abstract
This experiment was conducted with twenty-five gladiolus hybrids along with a check at the research farm of the Division of Floriculture & Landscaping, ICAR, Indian Agricultural Research Institute, New Delhi to study the performance and suitability of hybrids for different traits. The mean performance of gladiolus hybrid data was highly significant for all the characters studied; however, the results indicated that early flowering was seen in six hybrids such as Smokey Lady×Heady Wine Open seedling, The Berton Open seedling, Green Willow× Oscar, Shweta×Regency, Canada×Green Finch and Howard×Rose Time Steamboat and ranging from 82.33 to 86.00 days after planting. The maximum plant height 127.66 cm, spike length 116.00 cm and rachis length 63.33 cm were observed in Rose Time Steamboat hybrid, but number of florets per plant 19.33 was recorded in Canada×Green Finch hybrid. The number of corms i.e., three or more than three were recorded in seven hybrids namely; Oscar×Green Willow, (Snow Princess×Ratna)×Urmil, Smokey Lady×Mayur, Snow Princess.×Howard, Berlew Open seedling (Dark orange), Rose Time Steamboat Open seedling and Pink Parassol Open seedling respectively; whereas number of cormels in the range of 50.00 – 64.00 were recorded in five hybrids including check variety.
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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 | 0.000 |
| 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".