Genetic analysis of oil content and composition in oat, Avena sativa L.
Bibliographic record
Abstract
Oat oil is an important quality characteristic for the end users of oat ('Avena sativa' L.) and oat products. The objective of this study was to investigate the inheritance of oil content and composition and identify markers linked to genes affecting oat oil using a linkage map. Two hundred and twenty three lines from an F7 population of a cross between the high oil cultivar AC Ma ie (approximately 5 percent oil) and the low oil cultivar Cascade (approximately 3.5 percent oil) were analyzed for fatty acid composition. Correlations (P = 0.01) between total oil content and palmitic, oleic and linoleic fatty acids were found to be 0.92, 0.94, and 0.97 respectively. Results indicated that a single gene was responsible for control of each different fatty acid and for total oil content. Near infrared reflectance (NIR) spectroscopy was used to analyze an 80 line subpopulation of the AC arie/Cascade lines. (Abstract shortened by UMI.) *AFLP is a registered trademark of Keygene Inc.
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) | 0.000 | 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 | 0.000 |
| 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".