Weed seed survival in experimental mini-silos of corn and alfalfa
Bibliographic record
Abstract
Weed seeds present in harvested silage have to survive silage fermentation and rumen digestion before they are dispersed as a contaminant of manure. Therefore, producing crops that are ensiled could lower the seed dispersal of weed escapes. This study is aimed at evaluating the viability of seven weed species after storage in experimental mini-silos filled with corn or alfalfa. Nylon mesh bags, each containing one hundred seeds of a weed species, were inserted at random locations in mini-silos filled with silage corn or alfalfa and stored for one, three or six months. The experiment included five mini-silos per storage time as well as untreated seeds. Water imbibition by intact seeds was also evaluated to determine if it could be related with survival in silage. After three and six months of storage few seeds were viable in any treatment (<0.1% of all seeds tested). Differences between weed species and silage type were observable after one month of storage and could not be related to seed coat permeability as measured by water imbibition. Ensiling for three to six months, or more, could be used to kill harvested weed seeds. Further evaluations in commercial farm silos could be done to support results.
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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 | 0.000 | 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) | 0.001 | 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".