Genetic diversity and association analysis of protein and oil content in food‐grade soybeans from Asia and the United States
Why this work is in the frame
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Bibliographic record
Abstract
With 1 figure and 3 tables Abstract Food‐grade soybean has generated tremendous public interests in various soyfoods including tofu, soymilk, natto and edamame because of their nutritional value and health benefits. In this study, genetic diversity and association analysis were performed among 105 food‐grade soybean genotypes using 65 simple sequence repeat (SSR) markers distributed on 20 soybean chromosomes. Based on the SSR marker data, the 105 soybean genotypes were divided into four clusters with six sub‐groups. A negative correlation was obtained between protein and oil content ( r = −0.67). Thirteen SSR markers distributed on 11 chromosomes were identified to be significantly associated with oil content (P = 0.001 and R 2 % = 14.4–43.5) and 19 SSR markers distributed on 14 chromosomes with protein content (P = 0.001, R 2 % = 14.3–45.6). Twelve of the SSR markers were associated with both protein and oil QTL (quantitative trait loci). Results from this research will be facilitatory for breeders to select parents for crossing and use marker‐assisted selection in food‐grade soybean breeding and to map QTL for protein and oil content in soybean.
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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 it