Effect of annual pasture composition, plant density, soil fertility and drought on vulpia (Vulpia bromoides (L.) S.F. Gray)
Bibliographic record
Abstract
Vulpia is a widespread weed of temperate Australian pastures, and readily replaces more productive species. Short-term management of vulpia is possible with herbicides but densities rapidly increase in poorly competitive pastures after herbicide application. A field experiment at Wagga Wagga, NSW, examined the effect of 2 fertility levels and 4 pasture types [subterranean clover sown at 1, 25, 100 kg/ha, and subterranean clover (25 kg/ha) + annual ryegrass (20 kg/ha)] on 2 densities of vulpia (50,5 500 plants/m2) from 1990 to 1994. Initially vulpia plant density was inversely related to sowing rate of subterranean clover, but over time this effect declined as the subterranean clover populations converged. Presence of annual ryegrass always resulted in lower vulpia plant, panicle and seed densities compared with treatments where subterranean clover only was present. Respective densities per m2 in 1993 for the average of the subterranean clover monocultures and for annual ryegrass plus subterranean clover were: plant 1315 v. 265; panicle 6700 v. 130; seed 542 400 v. 3460. The effect of drought in 1994 and presence of annual ryegrass were shown to significantly lower the sustainable population of vulpia at Wagga Wagga from 5000–6000 to <1000 plants/m2. The short-term nature of herbicide application for control, and the need to ensure that competitive species were present to slow recruitment of vulpia in any long-term management strategy, were highlighted.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".