Inheritance and quantitative trait loci analysis of folate content in dry beans.
Bibliographic record
Abstract
Dry beans (Phaseolus vulgaris L.) contain high levels of folates. These compounds are essential vitamins and folate deficiencies may lead to a number of health problems. The objectives of this study were to examine the mode of inheritance of folate content and identify quantitative trait loci (QTL) associated with folate content in dry beans. Inheritance of folate content was studied in the F1 hybrids of one-way diallel crosses among Othello, AC Elk, Redhawk and Taylor, and an F2 population of the cross between Redhawk and Othello. Total folate content and 5 methyltetrahydrofolate (5MTHF) were measured twice within a one hour interval. Significant variation in folate content was observed among the parental genotypes, their F1 hybrids, and the F2 individuals of a cross between Redhawk and Othello, ranging from 147 to 345 µg/100g. Reductions in the 5MTHF content and total folate content values in the second measurement from samples were highly variable for all four parental lines ranging from 5 to 30% and 7 to 33%, respectively. A single marker QTL analysis identified at least three QTL for folate content in the F2 population. For the majority of identified QTL, dominance effects appeared to be the major genetic effect.
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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 | 0.001 | 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".