Genetic variation and stability of agronomic and quality traits in soybean varieties grown in western Canada between 2013 and 2018
Bibliographic record
Abstract
Soybean is one of the major crops of the world, but relatively new to western Canada, especially areas west of Morden, Manitoba. Expansion of soybean production to these Canadian Prairies has been slow due to a lack of adapted very-early maturing cultivars. Evaluation of stability and adaptability of a genotype to a broad range of environments is beneficial to recommend cultivars for known conditions of cultivation. Diverse soybean varieties were evaluated over multiple locations in Saskatchewan for six years (2013-2018). Significant effects of genotype, environment, and genotype and environment interaction were detected for phenology, agronomic and quality traits. Broad sense heritability estimates are medium to high for most of these traits in many site-years. Varieties with good performance stability for yield, quality and days to maturity were detected over the study period. Results from this study suggests some recommendations for soybean breeding and expansion in western Canada.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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 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".