Phenotypic evaluation of Canadian × Chinese elite germplasm in a diversity panel for seed yield and seed quality traits
Bibliographic record
Abstract
Despite mounting concerns regarding the narrowness of the genetic base of soybean (( Glycine max (L.) Merr.) in North America and the challenges that it may pose in the changing global environment and climate, exotic germplasm remains seldom used by breeders owing to various concerns. The objective of this study was to evaluate a Genome-Wide Association Study (GWAS) genomic diversity panel of 200 soybean genotypes for seed yield, seed quality, and agronomic trait performance. The GWAS panel consisted of lines derived from several generations of bi-parental crosses between elite Canadian and elite Chinese cultivars (CD–CH), elite Canadian cultivars (CD), and exotic elite Chinese cultivars (CH) evaluated at Elora and Woodstock, ON, in 2019 and 2020. In the combined analysis of variance, the CD–CH group showed a significant increase in seed yield, although the performance of this group was otherwise comparable or inferior to the adapted elite Canadian cultivars. Canadian cultivars were superior to both CD–CH and elite, exotic Chinese cultivars in seed oil and seed protein concentration. The yield potential of the exotic-derived soybean lines observed in this study provide a great source of novel genetics for soybean breeders interested in introgressing novel alleles from exotic sources to improve yield to help combat climate change.
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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 | 0.003 | 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 | 0.001 | 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) | 0.000 | 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 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".