Evaluation of soybean cultivars for resistance to <i>Phomopsis longicolla</i> and <i>Sclerotinia sclerotiorum</i> using excised leaves
Bibliographic record
Abstract
Zhang, J. X. and Xue, A. G. 2014. Evaluation of soybean cultivars for resistance to Phomopsis longicolla and Sclerotinia sclerotiorum using excised leaves. Can. J. Plant Sci. 94: 955–961. The resistance of short-season soybean cultivars in Canada to Phomopsis longicolla and Sclerotinia sclerotiorum was measured on excised leaves based on the disease severity. Lesions caused by both fungi were first observed at inoculation sites within 24 to 36 h after excised leaflets were inoculated, varying among cultivars, and whole leaflets rot within 5–6 d for susceptible cultivars. Of the 74 cultivars evaluated, 20 were significantly more resistant to P. longicolla (LSD=1.1, P<0.05) and 19 to S. sclerotiorum (LSD=1.0, P<0.05), with mean severity ratings ranging from 1.3 to 2.3 caused by both fungi. Seven cultivars including Medallion, M. Arrow Brown, Alta, Portage, AC Albatros, Comet, and Pagoda, showed partial resistance to both of pathogens. These resistant cultivars identified in this study may be used as sources of resistance in future field breeding programs in Canada.
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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 | 0.001 |
| 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".