A small-scale tofu test for soybean breeding programs
Bibliographic record
Abstract
Soybean breeding programs targeting tofu production must identify cultivars that are well suited for making tofu. A small-scale (SS) test of tofu texture was developed to evaluate breeding lines. The SS tofu test was developed to complement the larger scale Harrow tofu test but to use smaller samples of seed and soymilk to make tofu. The SS tofu test uses both magnesium chloride (MgCl 2 ) and glucono-delta-lactone (GDL) coagulants to produce tofu samples of 20 mL. In comparisons of the SS and Harrow tofu texture tests, using lines with varying protein subunit profiles, both tests ranked lines similarly. In plant breeding trials, the SS tofu test was useful in ranking varieties for tofu texture. Multiple-year testing should be used for a thorough evaluation of varieties. When the SS tofu test was used with a population of lines with a wide range of seed protein, GDL-coagulated tofu texture was independent of seed protein content; however, MgCl 2 -coagulated tofu texture was moderately inversely correlated with seed protein. With the SS test, it may be best to compare tofu texture within groups of lines with similar seed protein levels. The SS tofu test is useful to test tofu texture of breeding lines using small amounts of seed.
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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 | 0.001 | 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 | 0.001 | 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".