Using novel-grass endophyte associations as an avian deterrent
Bibliographic record
Abstract
Birds can be major pests in agricultural and horticultural crops as well as being serious hazards to operating aircraft. Cultivars of perennial ryegrass, a hybrid ryegrass and tall fescue, associated with selected Epichloë fungal endophytes were evaluated in aviary and field experiments for their management potential of three nuisance bird species selected as model systems representative of major bird classifications based on their diet. Granivores, namely European green finches, ate more endophyte-free perennial ryegrass seed than endophyte- infected seed, while the representative omnivores, black-backed gulls, avoided endophyte- enhanced feed pellets. The selected herbivore, Canada geese, showed an aversion to field trial plots sown with endophyte-infected grass containing ergovaline compared with the existing ground cover. Therefore habitat modification using selected grass-endophyte associations offers an effective wildlife management option aimed at reducing birds in problematic areas.
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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 | 0.001 | 0.000 |
| 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".