Frequency, Virulence, and Metalaxyl Sensitivity of <i>Pythium</i> spp. Isolated from Apple Roots Under Conventional and Organic Production Systems
Bibliographic record
Abstract
Studies were conducted to characterize the community of Pythium spp. associated with apple in Washington state. Seventeen different species were identified among the isolates of Pythium recovered from apple roots at six orchard sites. Commonly isolated species included P. intermedium, P. irregulare, P. heterothallicum, P. sylvaticum, and Pythium MM1 (aff. macrosporum), a previously undescribed species. The population of Pythium spp. at any given site typically was dominated by a single pathogenic species. Species composition of Pythium populations in adjacent conventional and organic blocks in two orchards did not differ; however, the relative recovery of Pythium spp. from apple roots was consistently lower in the organically managed systems. In greenhouse studies, the associations formed between apple seedlings and Pythium spp. ranged from pathogenic to growth-promoting. Precolonization of apple seedling roots with any one of three nonpathogenic isolates tested-isolate 584 of Pythium MM1, isolate 1-12 of Pythium MM3 (aff. oedochilum), and isolate 1-19 of Pythium MM5 (aff. vexans)-was found to provide biological control of root rot caused by P. sylvaticum and P. ultimum. Metalaxyl sensitivity varied among species of Pythium, with several nonpathogenic species exhibiting the highest levels of insensitivity to this fungicide.
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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 | 0.000 | 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) | 0.001 | 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".