Microsatellite diversity of soybean genotypes differing in bean pod mottle virus leaf symptom
Bibliographic record
Abstract
Bean pod mottle virus (BPMV) is a threat to soybean in most soybean [Glycine max (L.) Merr.] growing states of the USA. In the absence of complete resistance of soybean to BPMV, partial resistance can play an important role in reducing seed-yield and seed-quality losses from this virus. The objectives of this study were: (i) to evaluate plant introductions (PIs) for expression of leaf symptoms under greenhouse conditions following inoculation with BPMV, and (ii) to determine the genetic diversity among soybean genotypes with differences in leaf symptoms of BPMV. Large significant (P ≤ 0.001) differences in expression of BPMV leaf symptoms among genotypes in the greenhouse were detected. A genetic diversity study was conducted on 48 soybean genotypes differing in leaf symptoms of BPMV using 271 alleles amplified by 84 microsatellite primer pairs. The average polymorphism information content for the microsatellites was 0.53 and the average number of alleles per microsatellite was 3.23. The soybean genotypes clustered into distinct groups based on their country of origin and/or their BPMV leaf symptoms. Based on the microsatellite data, the genotypes were clustered into seven groups. Groups 1, 2 and 4 included genotypes from China only, group 3 included genotypes from the USA only and group 7 included genotypes from Japan only. Group 1 consisted of genotypes with low leaf symptoms of BPMV while group 6 was formed of genotypes with high leaf symptoms of BPMV. Key words: Bean pod mottle virus, genetic diversity, Glycine max, simple sequence repeat
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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 | 0.000 |
| 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".