Response of Green Peach Aphids and Other Arthropods to Garlic Intercropped with Tobacco
Bibliographic record
Abstract
The green peach aphid, Myzus persicae (Sulzer), is an insect pest that causes extensive damage to tobacco (Nicotiana tabacum L.) in China. Field trials were conducted in 2008 and 2009 at Longyan in the Fujian Province (China) to evaluate the effects of garlic (Allium sativum L.) as a deterrent to green peach aphids and other arthropods when intercropped in flue‐cured tobacco fields. This study demonstrated that green peach aphids were affected by intercropping garlic in tobacco fields during the 2 yr studied. The appearance of green peach aphids in intercropped tobacco fields was delayed for approximately 7 d by the presence of garlic. Aphid abundance was reduced by 100% in intercropped fields compared with monocultures, especially when populations peaked (34.7–39.0% in 2008 and 42.0–47.2% in 2009). Other arthropod populations were not negatively affected by intercropping garlic. Species richness, diversity, and stability of the arthropod communities increased and the dominance concentration index decreased in the intercropped garlic fields. The tobacco mosaic viruses (cucumber mosaic virus, potato virus Y, tobacco etch virus, and tobacco ring‐spot virus) transmitted by green peach aphids were decreased by 9.6 to 42.4% in 2008 and by 22.1 to 27.9% in 2009 by intercropping garlic in flue‐cured tobacco fields. The net benefits of cropping flue‐cured tobacco were also increased by 52.1 to 80.2% by intercropping garlic in the tobacco fields. Therefore, intercropping tobacco with garlic may be useful in deterring green peach aphids and in stabilizing arthropod communities in tobacco.
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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) | 0.001 | 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 | 0.001 |
| 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".