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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".