A preliminary report on inter-variety hybridization between Korean landraces and Canadian cultivars of buckwheat (Fagopyrum esculentum Moench)
Bibliographic record
Abstract
The present study was an attempt to produce a promising buckwheat cultivar with higher yield and good quality by crossing Korean landraces to Canadian cultivars. Four Korean landraces (Bongpyoung, Cheongsong, Kunwe, and Youngwol) and three Canadian cultivars (Koban, Koto, and Mancan) were reciprocally crossed between pin and thrum plant types within each cross combination. Seeds of the Canadian cultivars were all larger and heavier than the Korean landraces. Differences in seed length/width ratio between the Korean landraces (average 1.74) and Canadian cultivars (average 1.45) indicated that seeds of the Canadian cultivars are rounder rather than the Korean landraces. Dry weight per plant was slightly higher in the Canadian cultivars (8.0 g) than in the Korean landraces (7.7 g). Most of hybrid lines expressed an intermediate seed size between the two parents. Two lines from controlled pollination within each line and three lines from open pollination among the lines had heavier 100 seed weight when compared to other breeding lines. An increase in seed weight in the hybrid lines appeared to be mostly attributed to the larger seeds of the Canadian culti-var, Koto.
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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 | 0.001 | 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) | 0.002 | 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".