Transfer of Auxinic Herbicide Resistance from Wild Mustard (Sinapis arvensis) into Radish (Raphanus sativus) through Embryo Rescue
Bibliographic record
Abstract
The discovery of auxinic herbicides (e.g., 2,4-D, Dicamba, Picloram) for selective control of broad-leaf weeds in cereal crops revolutionized modern agriculture. These herbicides are inexpensive and do not generally have prolonged residual activity in soil. Although cultivated species of Brassicaceae (e.g., radish and other vegetables) are susceptible to auxinic herbicides, some biotypes of wild mustard (Sinapis arvensis, 2n = 18) were found to be highly resistant to Picloram and Dicamba. Inter-generic hybrids between wild mustard and radish (Raphanus sativus, 2n = 18) were produced by traditional breeding coupled with in vitro embryo rescue/ovule culture. To increase frequency of embryo regeneration and hybrid plant production, several hundred reciprocal crosses were performed between these species. Upon altering cultural conditions and media composition, a high frequency of embryo regeneration and hybrid plant establishment was achieved. A protocol was also optimized for in vitro clonal multiplication of inter-generic hybrids produced by embryo rescue. To evaluate transfer of auxinic herbicide resistance from wild mustard into hybrid plants, several screening tests (involving in vitro, molecular-based as well as whole plant-based tests) were performed. Results indicated that hybrids of R. sativus x S. arevensis were resistant to auxinic herbicides suggesting, that, the resistance trait was transferred to these hybrids from the wild mustard. This research for the first time demonstrates the possibility of transfer of auxinic herbicide resistance from wild mustard to radish.
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 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) | 0.001 | 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 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".