Investigations of the effects of the non‐darkening seed coat trait coded by the recessive <i>jj</i> alleles on agronomic, sensory, and cooking characteristics in pinto beans
Bibliographic record
Abstract
Abstract The beige background of the conventional pinto bean ( Phaseolus vulgaris L.) seed coat turns brown over time due to oxidation of its proanthocyanidins. Pinto beans that have slow‐darkening (SD) or non‐darkening (ND) seed coats are more desired in the market because they are perceived to be fresh, high‐quality beans. However, correlations between the ND seed coat trait and agronomic performance have not been investigated. Therefore, the objectives of this study were to estimate variance components and broad‐sense heritabilities of agronomic and seed coat traits in pinto beans, and to determine if correlations exist between the ND seed coat trait and agronomic, sensory, and cooking traits in recombinant inbred lines, developed from crosses between ND pinto bean breeding lines, incorporating the ND gene from ‘Wit‐rood boontje’, with two regular‐darkening (RD) pinto bean varieties (‘Stampede’ in Population 1 and ‘La Paz’ in Population 2), grown in four different environments of southwest Ontario in 2016. Analysis of variance indicated significant differences between the RD and ND genotypes for grain yield, 100‐seed weight, hydration capacity, and the seed coat color parameters in both populations. The color parameter L *, which represents the whiteness of the seed coat, was selected as the main discriminative parameter between the RD and ND seed coat phenotypes. There was a weak positive genetic correlation between the ND trait and days to maturity in Population 1 ( r g = .11). The ND trait showed weak negative genetic correlations with grain yield ( r g = −.23 in Population 1 and r g = −.13 in Population 2). Moderately weak positive genetic correlations were found between the ND trait and hydration capacity in Population 1 ( r g = .44) and Population 2 ( r g = .40). The ND pinto beans were perceived as sweeter and had softer and smoother textures and shorter cooking times compared with the RD pinto beans.
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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 | 0.001 |
| 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".