Identification of Quantitative Trait Loci (QTL) and Genes Associated with Seed Isoflavone Concentration in Soybean (Glycine max [L] Merril.)
Bibliographic record
Abstract
Isoflavones are plant secondary metabolites produced by soybean (Glycine-max-[L.] Merr.) that function as phytoalexins in plants and have positive human health benefits. Breeding for soybeans with high seed isoflavones has attracted considerable attention. Soybean seed isoflavones are quantitatively inherited and may be involved in disease resistance. The objectives of this thesis were to: identify quantitative-trait-loci (QTL) and genes associated with seed isoflavones and study the effects of genotype, environment, and genotype-by-environment interaction (GEI) on isoflavones. A population of 109 recombinant inbred lines was developed from the cross RCAT 1004 x DH 4202 and evaluated in four Ontario locations in 2015 and 2016. Significant genotype, environment, and GEI effects were found. Single marker analyses and interval mapping identified 10 and four QTL associated with isoflavones, respectively. Gene expression analyses revealed the importance of the chalcone synthase 7 and 8 (CHS7 and CHS8) genes on isoflavone biosynthesis. The identified QTL and genes can be used in marker assisted selection.
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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 | 0.000 | 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 | 0.000 | 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) | 0.000 | 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".