Yield of Saffron (Crocus sativus) Under Different Corm Densities
Bibliographic record
Abstract
Due to its valuable properties, Saffron is considered one of the most expensive spices. Saffron was introduced to Lebanon in 2000 and promoted as alternative crop to Canabis Sativa. There has been little research for saffron on a variety of subjects, in particular on cultural practices. The aim of this study is to investigate the impact of corm density on Saffron yield attributes. The study included three corm densities that were organized in randomized complete block design with three replicates; Low(LD)-25 corms m-2, 20 × 20 cm spacing; Moderate (MD)-44 corms m-2, 15 × 15 cm spacing; High (HD)-100 corms m-2, 10 × 10 cm spacing. The study was conducted at the Lebanese agricultural research institute (LARI) in Lebaa station for four consecutive years. Results showed a steadily significant high yield of flowers m-2 at high density compared to low density for four years .In contrast, the number of flowers (NF)/100 corm clusters (CC) was significantly increased at low density in last two years compared to high density. Treatments showed no significant effect of the main compounds of air-dried stigmas (Crocin, Picrocrocin and Safranal). Fresh (FWSS) and dry (DWSS) weight of single stigma was affected by year showing a significant change from year to year. These results revealed that success of long-term cultivation can be achieved by planting saffron corm at moderate and low densities.
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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) | 0.001 | 0.001 |
| 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 | 0.001 |
| 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".