Evaluation of High‐Yielding Canadian Soybean Cultivars Suited to Japanese Growing Conditions
Bibliographic record
Abstract
Core Ideas Five Canadian soybean cultivars achieved high yields in Hokkaido, northern Japan, in screening tests. OAC Dorado soybean produced a significantly greater yield than a Hokkaido's leading cultivar. OAC Dorado soybean had six characteristics that were distinct from the Hokkaido cultivars. OAC Dorado soybean is an important germplasm for high‐yield breeding. The broadening of genetic diversity is essential to improving soybean [ Glycine max (L.) Merr.] seed yields, and exotic germplasms can be a source of new alleles that improve yield. The stem termination habit is an important trait affecting seed yield in soybean, and this habit can be used to classify soybean into indeterminate, semi‐determinate, and determinate phenotypes. The genetic background and environment determine whether indeterminate phenotypes have a higher yield than determinate phenotypes. Most soybean cultivars developed in high latitude countries such as Canada, Switzerland, and Poland have an indeterminate growth habit, but this is not found in any of the commercial Japanese cultivars. This study investigated high‐yielding Canadian soybean cultivars growing in Hokkaido, northern Japan. Five Canadian cultivars, Haroson, RCAT Angora, Block, RCAT Alliance, and OAC Dorado, produced significantly greater than Hokkaido's leading cultivar Yukihomare in the preliminary screening tests. OAC Dorado also produced a significantly greater yield than Yukihomare in the trials (116%). OAC Dorado had six characteristics that were distinct from the Hokkaido cultivars: an indeterminate growth habit; high pod number, especially on branches; high seed number per pod; long reproductive period; low protein content; and short lower internodes. Our findings indicate that OAC Dorado is an important germplasm for high‐yield breeding and suggest that it may be possible to breed a high‐yielding cultivar with an indeterminate growth habit in Hokkaido.
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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 | 0.000 |
| 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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".