Association of seed and agronomic traits with isoflavone levels in soybean
Bibliographic record
Abstract
Soybean, Glycine max (L.) Merr., seeds contain isoflavones, compounds with potential human health benefits. This study investigated the association of seed and agronomic traits with isoflavone level in a genetically diverse group of soybean genotypes to provide more information for cultivar development. F 4:7 lines derived from several crosses were grown in four locations in 2005 and six locations in 2006 across Ontario and Quebec. Seed protein, oil and isoflavone contents were measured using near-infrared reflectance (NIR) on a plot basis. Seed yield was determined at 13% moisture and days to maturity (R8) were recorded. GGE genotype-by-trait biplots were generated to describe the relationships among all variables. Isoflavone content was not correlated with yield, indicating that potential exists for development of high or low isoflavone cultivars without sacrificing yield. Isoflavone content was negatively correlated with protein content; however, high isoflavone lines were identified with moderate protein content. Isoflavone content was correlated with maturity, suggesting that delayed planting and/or the use of later maturing varieties could be a successful strategy to increase isoflavone content. The results of this study support the potential for the development of either high or low isoflavone soybean cultivars with acceptable agronomic and seed quality traits.Key words: Soybean, isoflavone, protein, oil, yield, maturity
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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".