Quality Characteristics of Glyphosate‐Tolerant Canola Cultivars Containing a Glyphosate Acetyltransferase Transgene (Event DP‐Ø73496‐4)
Bibliographic record
Abstract
Canola (Brassica napus L.) was transformed with an insert that expresses the GAT4621 protein, conferring tolerance to the nonselective herbicidal ingredient glyphosate. Event DP‐Ø73496‐4 (trade name Optimum GLY Canola) was introgressed into additional female inbred genetic backgrounds and hybrid seed lots were created to evaluate canola quality characteristics for cultivar registration in Canada. Field trials were conducted in 2012 and 2013 across several locations in appropriate maturity zones for the cultivars. Results indicated no difference for key canola quality parameters across genetic backgrounds and locations. The oil content (at 8.5% moisture) for Optimum GLY canola cultivars in these trials ranged from 40.6 to 50.3% and was within the industry range (35.6–51.2%) for samples graded Canola, No. 1 Canada from 2012 and 2013. The international standard for erucic acid in canola is <2% total fatty acids. The range of erucic acid values observed in Optimum GLY canola cultivars was lower at 0.01 to 0.14% total fatty acids. The glucosinolate content of the Optimum GLY canola cultivars ranged from 2.7 to 15.9 μmol g−1 on a whole‐seed basis (at 8.5% moisture) and was comparable with the industry range (3.0–26.0 μmol g−1) for samples graded Canola, No. 1 Canada from 2012 and 2013. These findings are consistent with regulatory study results and submissions made globally in support of authorization for canola containing event DP‐Ø73496‐4. Optimum GLY canola is within established ranges for key industry composition parameters and will maintain canola quality standards.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".