Predator Insect Families Associated With Melon Crop in a Semiarid Region in Brazil
Bibliographic record
Abstract
Knowledge of diversity of natural enemies in agroecosystems is vital for the integrated pest management. However, surveys of beneficial insects (predators and parasitoids) in the melon crop (Cucumis melo L.) in the semiarid region in Brazil are scarce. Thus, the objective of this study was to know the families of predator insects associated with melon crop in a semiarid region in the state of Rio Grande do Norte (RN), one of the main melon producers in Brazil. The survey study was carried out in a commercial melon area, in the municipality of Baraúna (RN). The samples were collected weekly during the cycle of melon, using passive (Pitfall and Moericke traps) and active (sweep net) collection methods. A total of 13 families of predator insects were collected. The families with the highest relative abundances in the passive collection method were Labiduridae (89.53%) and Formicidae (6.91%), while in the active collection method were Chrysopidae (59.81%) and Staphylinidae (20.56%). These families contain important species of predator which can promote crop pest suppression in melon agricultural systems.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".