Genetic Study and QTL Analysis on Soybean Seed Protein Quality and Quantity
Bibliographic record
Abstract
Soybean (Glycine max (L.) Merrill) protein quality is limited by deficiencies in the concentrations of amino acids cysteine (Cys), methionine (Met), threonine (Thr), and lysine (Lys). This study aimed to: (1) assess the effects of genotype, environment, and genotype-by-environment interactions (GEI) on seed protein quantity and quality in two recombinant inbred line (RIL) populations derived from amino acid manipulated fast neutron mutants, in multi-environment trials (MET) conducted in four environments in southern Ontario; and (2) to identify and validate quantitative trait loci (QTL) associated with seed protein quantity and quality in the two populations. Genotype and environment effects were significant for all target traits. Significant GEI effects on protein, Thr, and Lys were observed in at least one population. A modified QTL-seq analysis discovered genomic regions associated with target traits in three of the 20 soybean chromosomes. These results may be useful for breeding efforts on improving soybean protein nutrition.
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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 | 0.000 |
| 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 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".