Greenhouse and field assessments of resistance in soybean inoculated with sclerotia, mycelium, and ascospores of <i>Sclerotinia sclerotiorum</i>
Bibliographic record
Abstract
Thirty-five soybean lines were evaluated for sclerotinia stem rot (SSR) resistance using stem inoculations with mycelium in the field and greenhouse, flower inoculations with mycelium or ascospores in the field and greenhouse, and soil infestation with sclerotia in the field, between 1997 and 2000. Symptoms were evaluated by stem lesion length (SLL, mm) and lesion extension (LE, mm) after stem inoculations; infected flowers (IF, %) and a disease severity index (DSI, %) after flower inoculations with ascospores and mycelium; and a DSI after soil infestation with sclerotia. Results show significant differences among lines for SLL and LE in the greenhouse and for IF and DSI in the field and greenhouse. Significant correlations were found between stem inoculation and sclerotia method and between all trials with flower inoculation using either ascospores or mycelium. Maple Donovan and Frisquet were the least susceptible genotypes after flower inoculations with ascospores, whereas OAC Bayfield was the most susceptible. Maple Donovan was also the least susceptible genotype after mycelium stem inoculation in the trials in 2000, while OAC Bayfield was again the most susceptible. Nattosan was the most susceptible genotype in trials conducted in the fields infested with sclerotia. In this study, flower inoculations provided better discrimination than stem inoculations in the assessment of soybean genotypes for SSR resistance, and the results suggested two phenotypes of partial or incomplete resistance, one occurring in the flower, and the other in the stem. Key words: Sclerotinia sclerotiorum, soybean, mycelium, ascospores, inoculation, resistance
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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 | 0.001 |
| 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".