Calcium may mediate auxinic herbicide resistance in wild mustard
Bibliographic record
Abstract
The role of calcium in mediating resistance to several auxinic herbicides (i.e., 2,4-dichlorophenoxyacetic acid, [4-chloro-2-methylphenoxy] acetic acid, (±)-2-(4-chloro-2-methylphenoxy) propanoic acid [mecoprop], 3,6-dichloro-2-methoxy-benzoic acid [dicamba], or 4-amino-3, 5,6-trichloro-2-pyridinecarboxylic acid [picloram]) was investigated by modulating calcium dynamics of a susceptible (S) and resistant (R) biotype of wild mustard. The inhibitory effects of the auxinic herbicides on root length of the S seedlings were significantly reduced upon pretreatment with calcium in the presence of the calcium ionophore A23187. Conversely, the addition of verapamil, a calcium channel blocker, to the R seedlings increased their sensitivity to the auxinic herbicides. Valinomycin, a potassium channel ionophore, did not ameliorate the effect of the auxinic herbicides on both biotypes of wild mustard, thus indicating that the observed effects were specific for calcium. These results demonstrate that calcium plays a crucial role in the resistance of wild mustard to auxinic herbicides at the level of intact seedlings, thereby supporting our previous results using intact protoplasts.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".