Thrips species associated with cereals of the Lakes Region of Turkey with new records
Bibliographic record
Abstract
This study was carried out to determine the Thysanoptera species in the cereal production areas in the Lakes Region of Turkey, in 2016 and 2017. Thrips samples were collected at two different periods of cereal crops, before and after the spike stage. Destructive sampling and strike methods were used to obtain thrips species. The individuals were mounted on slides with Canada balsam for morphological characterisation. As a result of this study, a total of 51 species were identified including 9 species belonging to Tubulifera and 42 species belonging to Terebrantia. The most abundant species were Haplothrips tritici (Kurdjumov 1912) (58.25%), Collembolothrips mediterraneus Priesner 1935 (8.29%), Thrips angusticeps Uzel 1895 (6.61%), and Limothrips cerealium Haliday 1836 (4.31%). The most common species were H. tritici, T. angusticeps, L. cerealium, Aeolothrips intermedius Bagnall, 1934 and Aptinothrips stylifer Trybom, 1894. Three species were first recorded for Turkish fauna: Tylothrips osborni (Hinds), Mycterothrips sanubari Alavi Modarres Awal Fekrat & Minaei and Tenothrips hispanicus (Bagnall).
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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 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".