Genome Wide Association Study of Soybean [(Glycine max (L.) Merr.] Germplasm Derived from Canadian X Chinese Crosses to Mine for Unique Seed-Yield Alleles
Bibliographic record
Abstract
The phenotypic and genotypic evaluation of exotic soybean [(Glycine max (L.) Merr.] germplasm could help widen the North American germplasm pool. The objective of this thesis was to identify novel alleles underlying seed yield, seed protein and oil concentration from a genomic diversity panel consisting of recombinant inbred lines (RIL) derived from several generations of bi-parental crosses between elite Canadian x Chinese cultivars (CD-CH). A total of 200 genotypes were evaluated in the field at Elora and Woodstock, Ontario, in 2019 and 2020. For seed yield, the CD-CH genotypes yielded significantly more than the elite Canadian and Chinese genotypes. For oil and protein concentrations, the performance of CD-CH group was similar to that of elite Canadian cultivars. A putative candidate gene was identified for each of the evaluated traits. Elucidation of the genetics underlying seed yield and seed quality traits from exotic germplasm sources would greatly benefit future breeders in their efforts for continued improvement of the crop.
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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 | 0.001 |
| 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 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".