Oil Content and Fatty Acid Composition of Camellia oleifera Seed About Farm Varieties and Superior Clones in Tongren
Bibliographic record
Abstract
Taking two farm varieties and 3superior clones of Camellia oleifera in Tongren region of Guizhou province as materials,this paper tested oil content and fatty acid composition,studied the differences of seed oil content and fatty acid composition in different C.oleifera varieties(types),analyzed the correlations between these and the main economic properties of the fruit.Results show that:1)Each varieties(types)had their own advantages of fresh seed yield,dry seed rate,oil content of fresh fruit and kernel oil content,the average of saturated fatty acids and unsaturated fatty acids was 9.593% and 90.407%respectively,average of oleic acid and linoleic acid was 83.218%and 6.397%respectively,the development of these C.oleiferaindustry had good market prospects.2)The kernel oil content of Xianglin XLC 15,Xiang Lin XLJ 2and collecting seed earlier farm variety No.1reached more than 50%.The oil content of fresh fruit of Xiang Lin XLC 15 was up to 12.48% especially,so it is high yielding clones.3)There was closely relationship between seed oil content of C.oleifera and economic properties of the fruit,so through the correlation among these properties,using early determination of easily measured properties,you can predict seed oil content,oil content of fresh fruit,and help to improve the management measures.4)The average content of oleic acid was 83.218%,the variation coefficient was 1.91%,that meant the content of oleic acid was high and relatively stable,and the content of oleic acid and linoleic acid reached above 90%.There was a certain correlation between each fatty acid in C.oleiferaseed,and can be used to support the breeding objective in the cultivation.5)The oil content of the local farm variety was high,and the adaptability was strong,so it has important practical significance to select farm variety with superior properties,and cultivate new varieties suitable for the local climate and environment to popularize.
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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 | 0.000 |
| 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 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".