Relationship between bruchid resistance and seed mass in mungbean based on QTL analysis
Bibliographic record
Abstract
Bruchids (Coleoptera: Bruchidae) can cause serious damage to mungbean and several other leguminous crops and there is a strong association between small seed size and bruchid resistance. In investigating the feasibility of breeding large-seeded cultivars with high levels of bruchid resistance, we studied the relationship between these two traits by QTL analysis. A major locus conferring resistance to Callosobruchus chinensis was identified from a wild mungbean genotype, 'ACC41' (belonging to Vigna radiata var. sublobata), collected in Australia. The proportion of the C. chinensis resistance response that could be attributed to this single QTL varied among four different resistance assays. The highest value reached was 98.5%, suggesting that bruchid resistance in this genotype is likely conditioned by this single locus. The QTL was robust and its detection was not affected by the use of different sources of the insect, different lengths and conditions of seed storage, or different bruchid resistance assay methods. This bruchid resistance QTL was coincident with one of the loci conferring seed mass detected from the three seed sources produced in Australia. However, such a co-location was not detected for the seed source produced in China. Covariance analysis revealed a complex relationship between seed mass and bruchid resistance. Nevertheless, the effect of the bruchid resistance QTL remained highly significant for all four assays after the effect of seed mass was accounted for. These results, together with the relationship between the bruchid resistance QTL identified in this study and a second one detected previously in a wild mungbean genotype from Madagascar, are discussed.
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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 | 0.001 |
| 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".