Genetic mapping of agronomic traits in false flax (Camelina sativa subsp.<i>sativa</i>)
Why this work is in the frame
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Bibliographic record
Abstract
The crucifer oilseed plant false flax (Camelina sativa subsp. sativa) possesses numerous valuable agronomic attributes that make it attractive as an alternative spring-sown crop for tight crop rotations. The oil of false flax is particularly rich in polyunsaturated C18-fatty acids, making it a valuable renewable feedstock for the oleochemical industry. Because of the minimal interest in the crop throughout the 20th century, breeding efforts have been limited. In this study, a genetic map for C. sativa was constructed, using amplified fragment length polymorphism (AFLP) markers, in a population of recombinant inbred lines that were developed, through single-seed descent, from a cross between 'Lindo' and 'Licalla', 2 phenotypically distinct parental varieties. Three Brassica simple sequence repeat (SSR) markers were also integrated into the map, and 1 of these shows linkage to oil-content loci in both C. sativa and Brassica napus. Fifty-five other SSR primer combinations showed monomorphic amplification products, indicating partial genome homoeology with the Brassica species. Using data from field trials with different fertilization treatments (0 and 80 kg N/ha) at multiple locations over 3 years, the map was used to localize quantitative trait loci (QTLs) for seed yield, oil content, 1000-seed mass, and plant height. Some yield QTLs were found only with the N0 treatment, and might represent loci contributing to the competitiveness of false flax in low-nutrient soils. The results represent a starting point for future marker-assisted breeding.
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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 | 0.000 |
| 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 it