Characterization of Roselle (Hibiscus sabdariffa L. var. altissima Wester) Accessions in Northern Ghana by Agro-morphological Traits
Why this work is in the frame
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Bibliographic record
Abstract
Roselle (Hibiscus sabdariffa L. var. altissima Wester) is a bast fiber crop of global economic importance. Although West Africa is considered the centre of diversity, roselle research and utilization is widely ignored. The awakening of industrialization in Ghana presents roselle as a candidate crop for exploration, however, information on genotypes of economic importance is lacking. Our objective was to map roselle population hotspots in northern Ghana and examine genetic variability therein. Thirty-six roselle accessions collected from five regions in Ghana were planted in field trials using a 6 × 6 lattice square design in three replications and evaluated for seven qualitative and four quantitative morphological traits covering plant type, leaf and stem characteristics, and growth habit. Data were analysed by Shannon-Weiner Diversity Index (SDI) and analysis of variance. A large variability was identified between the accessions. The mean SDI values in the 18 districts ranged from 0.53 to 0.73 with Savelugu-Nanton district having the largest diversity and having accessions with the highest mean plant height of 308.27±48.91 cm, highest branching point at 107.19±64.66 cm, and few branches not exceeding 5.0 in number. Majority of the accessions exhibited low branching points. The most variable trait was branch number with SDI of 0.83±0.12. Accessions HA-07, HA-11, HA-12, HA-21, and HA-33 ranked highest with respect to plant height with few branches at high branching points, and large basal diameter. The ample diversity in roselle and identification of genotypes of economic importance await their exploitation for genetic improvement, particularly for fiber yield.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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