Crop rotation and intercropping with marigold are effective for root-knot nematode (Meloidogyne sp.) control in angelica (Angelica sinensis) cultivation
Bibliographic record
Abstract
This study was aimed to investigate the control efficiency of crop rotation (CR) and intercropping systems for root-knot nematodes (Meloidogyne sp.) in angelica (Angelica sinensis). Plants of angelica were intercropped with marigold (Tagetes erecta) plants in row-intercropping (RI) and plant-intercropping (PI) models in 2013. The continuous cropping (CC) model and sole cropping (SC) were used as the controls. The density change rate of nematodes in CR models (−83.63% and −72.61%) was lower than those in CC models. The CR model in 2013 showed the highest nematode control efficiency (44.83%), angelica yield (199.49 kg plot−1), and output value (65971.50 yuan Renminbi ha−1), and were the highest amongst the five models. The RI model showed a lower density change rate of nematodes (−23.34%) and a higher control efficiency for disease (36.63%) compared with the SC model. Both the rotation and intercropping models were efficient for controlling nematodes in angelica, and the rotation model was more effective than the intercropping models.
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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 | 0.000 |
| 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".