Development of End-User Preferred Sweetpotato Varieties
Bibliographic record
Abstract
Sweetpotato (Ipomoea batatas (L.) Lam) is the fourth most important root and tuber crop in Ghana, in terms of production. Attainment of increased sweetpotato utilization has become an important breeding objective in Ghana recently. The major emphasis in breeding is on the development of farmer/consumer preferred varieties. This study aimed at developing farmer/consumer preferred sweetpotato cultivars for increased utilization in Ghana and beyond. One hundred and fifteen sweetpotato accessions were collected and evaluated at two ecozones in the major and minor cropping seasons in 2011 to identify low sugar parents for hybridization. Two released varieties (Histarch and Ogyefo) and eight breeding lines (AAT-03-025, CIP 442264, CRIWAC 25-10, CRIWAC 30-10, DOS 03-006, CRIWAC 11-10, CIP 440095 and CRIWAC 19-10) were selected and used as parents. Genetic variability was significant for all the traits studied. Sufficient useful genetic variation was present in the materials studied and was exploited to provide for substantial amount of improvement through selection of superior genotypes. Negative heterosis was observed for sugar content and this is very important for breeding because Ghanaians prefer non-sweet varieties. Fifteen percent of the F1 hybrids of Histarch and Ogyefo were non-sweet. These will meet the staple food needs of Ghanaians. Eight hybrids were identified as potential non-sweet varieties for further testing multilocation on-farm for release. These were Ogyefo × Histarch-11, Histarch × Ogyefo-13, Histarch × Ogyefo-52, Histarch × Ogyefo-37, Histarch × Ogyefo-65, Histarch × Ogyefo-88, Histarch × Ogyefo-39 and Histarch × Ogyefo-16.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".