Agronomic and seed traits of high‐oleic soybean lines containing the DP‐305423‐1 transgene in four backcross populations
Bibliographic record
Abstract
Abstract The DP‐305423‐1 transgene elevates oleic acid concentration and reduces polyunsaturated fatty acids in soybean [ Glycine max (L.) Merr.] oil, resulting in increased oxidative stability. The objective of this research was to investigate the effect of the DP‐305423‐1 transgene on agronomic and seed traits using four backcross derived soybean populations to provide further understanding of the transgene's influence across varying genetic backgrounds and environments. An equal number of high‐oleic, low‐linolenic (HOLL) and normal‐oleic, low‐linolenic (NOLL) progeny from four BC 1 F 4 :F 6 populations—B ( n = 30), C ( n = 22), D ( n = 56), and E ( n = 34)—were grown across six locations in 2015. Across all locations, the high‐oleic (HO) progeny had a mean yield 77 kg ha −1 less in Population B, and 382 kg ha −1 greater in Population C compared with the normal‐oleic (NO) class. There was no significant difference in yield between HO and NO in Populations D and E. The HO progeny had a significantly lower mean oil concentration and greater protein concentration than the NO class in all populations, whereas 100‐seed weight of the HO class was, on average, greater than in the NO class. The results provide evidence that the reduction in oil concentration is associated with the HO phenotype in the progeny carrying the DP‐3054231‐1 transgene and demonstrate no consistent effect of the transgene on seed yield, suggesting that differences may be due to the genetic background of the population studied.
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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 | 0.000 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".