Influence of Contaminated Crop Remains and Seed Health Quality on the Intensity of Bean Anthracnose
Bibliographic record
Abstract
Bean anthracnose, caused by the fungus Colletotrichum lindemuthianum, is a major seed borne disease of beans, interfering with the progress of the disease timeline. Work involving the study of cultural remains are scarce. The effects of different incidences of that pathogen in seeds in combination with cultivating areas with and without contaminated crop remains were evaluated on the anthracnose incidence and severity and on yield. In the trial set up in December 2009 the cultivation of bean in area with contaminated crop remains had greater progress for both incidence and severity of the disease compared with the area without crop remains. There was interaction between infection levels in seeds with or without contaminated crop remains in both growing areas. In the trial set up in April 2010 progress of anthracnose was similar in both growing areas. Grain yield was higher in the area without crop remains in both trials. The results of this work showed that the behavior of anthracnose under field conditions differ among areas studied (with and without crop residues) and also due to the environmental conditions of a planting to another.
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 | 0.001 |
| 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 | 0.001 | 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".