Leafhopper Taxa and Populations in Southern Idaho
Why this work is in the frame
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Bibliographic record
Abstract
Plant pathogens, including viruses, phytoplasmas, and spiroplasmas, can be transmitted by leafhoppers, which can cause important yield-limiting diseases in vegetables, orchard crops, vineyards, and field crops. The species distribution and vector status of leafhopper taxa in southern Idaho is an understudied but critical component for developing sustainable management approaches. Thus, during the 2020 and 2021 growing seasons, 11,215 leafhoppers were collected on yellow sticky cards in sagebrush steppe areas and next to sugar beet and common bean fields in five counties in southern Idaho. Thirty-four genera were identified, with the primary genera being Euscelidius spp. (46% of leafhoppers; mostly E. variegatus), Amblysellus spp. (14%), Ceratagallia spp. (12%), Dikraneura spp. (8%), Empoasca spp. (5%), Macrosteles spp. (5%; includes M. quadrilineatus), Psammotettix spp. (4%; includes P. attenuens, P. dentatus, and P. lividellus), Hecalus spp. (2%), and Giprus spp. (1%). Nineteen of the 34 genera found were not previously reported in Idaho, and some of these leafhoppers are capable of vectoring pathogens. For example, preliminary evidence for an Amblysellus sample suggests that Spiroplasma kunkelii was present, which is the causal agent for corn stunt disease, which was not known to be present in Idaho. These results contribute substantively to the cataloging of leafhopper taxa present in southern Idaho and will aid in developing vector and disease management decisions. [Formula: see text] Copyright © 2025 The Author(s). This is an open access article distributed under the CC BY 4.0 International license .
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 it