Survey of root diseases of wheat and barley in southeastern Idaho
Bibliographic record
Abstract
Root diseases of wheat and barley in southeastern Idaho (Intermountain West area of the U.S.A.) have not been extensively studied. Surveys were conducted in 2001 and 2002 to assess root disease severity and to identify soilborne pathogens present in 81 wheat and 52 barley fields in 13 southeastern Idaho counties. Bipolaris sorokiniana and Fusarium culmorum were the most frequent pathogens isolated and also the most virulent in greenhouse pathogenicity tests. Other pathogenic fungi isolated from root lesions included Fusarium spp., Rhizoctonia solani, and Gaeumannomyces graminis var. tritici. Nematode soil assays revealed that 96% of the fields had lesion nematodes (mostly Pratylenchus neglectus) and 78% had stunt nematodes (Tylenchorhynchus spp.). Other nematode species were detected in less than 18% of the fields. The cereal cyst nematode (Heterodera avenae) was found in two fields. Greenhouse experiments with soil cores indicated that disturbing the soil to simulate disking reduced the severity of fusarium root rot. Plant breeders attempting to incorporate resistance to root rot into cereal crops in the Intermountain West should focus on screening with B. sorokiniana and F. culmorum isolates.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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 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".