Enset (Enset ventricosum (Welw.) Cheesman) Breeding for Various Purposes - A Review
Bibliographic record
Abstract
Enset (Enset ventricosum (Welw) Cheesman) is a well-known cultivated crop in Ethiopia and a cultural staple food for over 20 million humans in different parts of Ethiopia. It bears flowers that developed into fruits and seeds. It bears seeds and propagated vegetativly. Attempts have been done for maintenance, conservation, improving cultivars, diversity, and variability study. About 623 Enset germplasm were collected from 12 main growing areas and ex-situ conserved at Areka. Seeds of Enset were stored at the millennium gene bank. Seedlings and specimens are held in the garden of Cambridge Cottage and Wakehurst. In the research effort 6 cultivars: 3 early set cultivars: Yanbulle, Gewada, Endale, and 3 late set cultivars: Kelisa, Zerita, Mesena were released. Variability study revealed that corn yields were significantly affected by location, cultivar, and cultivar Vs location. Genotypes: Suite, Warke, Bidu, Astera, and Kekari showed 100% disease symptoms after 30 days of inoculation. Symptoms weren't observed on Meziya, Bedadet, Hiniba, and Nech Enset clones after 90 days of inoculation. ISSRs primers revealed that, in all parameters, Kefficho genotypes have been more diversified than genotypes from Essera areas. The Partitioning of Shannon's diversity index indicated that the major variations were occurred within populations than between the two populations.
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How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".