Are concerns about feral genetically modified herbicide tolerant oilseed resulting from seed import spills scientifically justified?
Bibliographic record
Abstract
One of the concerns surrounding the import (for food and feed uses or processing) of \ngenetically modified herbicide tolerant oilseed rape (GMHT OSR) is that, through seed spillage, \nthe herbicide tolerance (HT) trait will escape into agricultural or semi-natural habitats, causing \nenvironmental or economic problems. Whether the concerns posed by feral GMHT OSR from \nseed import spills are scientifically justified is debatable. While OSR has characteristics such as \nsecondary dormancy and small seed size that enable it to persist and be redistributed in the \nlandscape, the presence of ferals is not in itself an environmental or economic problem. \nCrucially, feral OSR has not become invasive outside cultivated and ruderal habitats, and HT \ntraits are not likely to result in increased invasiveness. Feral GMHT OSR has the potential to \nintroduce HT traits to volunteer weeds in agricultural fields, but would only be amplified if the \nherbicides to which HT volunteers are tolerant were used routinely in the field. This worst-case \nscenario is most unlikely, as seed import spills are mostly confined to port areas. Economic \nconcerns revolve around the potential for feral GMHT OSR to contribute to GM admixtures in \nnon-GM crops. Since feral plants derived from cultivation (as distinct from import) occur at too \nlow a frequency to affect the coexistence tolerance threshold of 0.9% in the EU, it can be \nconcluded that feral GMHT plants resulting from seed import spills will have little relevance as a \npotential source of pollen or seed for GM admixture. This paper concludes that feral OSR in \nEurope should not be routinely managed, and certainly not in semi-natural habitats, as the \nbenefits of such action would not outweigh the negative effects of management.
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.
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 | 0.007 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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 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".