Population Fluctuation and Faunistic Analysis of Fruit Flies in a Commercial Guava Orchard (Psidium guajava L.)
Bibliographic record
Abstract
Knowledge of the population fluctuation of a pest in an orchard allows the producer preventing and making use of techniques that control the insect pest before it causes economic damages. The objective of the present work was to verify fruit fly species population dynamics in a commercial of Psidium guajava L. (Myrtaceae) orchard in the Curimataú microregion of Paraíba, also to characterize the community of fruit flies through faunistic analysis as well. Fruits were collected biweekly, the total was 24 collections between August 2014 and July 2015 in the municipality of Nova Floresta-PB. Fruits were preferentially collected mature or at the beginning of maturation, differentiating fruits harvested on the soil, plants, and through PET traps containing different food attractants. After collection, fruits were kept in plastic trays filled with a layer of two centimeters of sterilized sand and covered with fabric ‘voil’. The trays were labeled with the field data and placed in a greenhouse. Past the period of 15-25 days the fruits, already in the stage of decomposition were examined in order to collect pupae and larvae of 3rd instar. A total of 462 specimens of fruit flies were collected in 12 months sampling period, they were collected from fruits gathered from the ground and from the tree, and through trapping, being 209 males and 253 females, all collected in P. guajava. From the results obtained during the sampling period, a total of four species were recorded by fruit collection and six species by a trap. A new specimen of Anastrepha was found that there was no register in Paraíba yet, Anastrepha hadropickeli Canal, Uramoto and Zucchi (2013), as well as a Rhagoletis sp. (Loew).
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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 | 0.000 |
| 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 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".