Analysis of the oil and its fatty acids percentage of the seed of 48 safflower accessions
Bibliographic record
Abstract
Oil and its fatty acids percentage of the seeds of 48 safflower accessions,including Chuanhong1,Jianyanghonghua and some other safflower accessions from 32 countries were measured.The correlation relationship between the oil percentage and different agronomy characters,between the fatty acids percentage and different agronomy characters,between the oil percentage and different fatty acids percentage were analyzed.The results indicated that PI559909 from Canada and PI253529 from France were excellent at oil percentage,with the percentage of 32.68 % and 31.60 % respectively.PI559909 from Canada and PI253518 from Austria had the highest linoleic acid percentage,which reached 83.79 % and 81.67 %,respectively.PI401479 from Bengal had the highest oleic acid percentage(53.10 %).Considering seeds yield per plant,oil percentage,linoleic acid percentage and oleic acid percentage,PI559909 from Canada and PI312275 from Hungarian were the excellent.The results also showed the negative simple and partial correlation coefficient between plant height and oil percentage was significant at 0.01 level,significant at 0.05 level between blooming time and oil percentage,significant at 0.05 level between palm acid percentage and oil percentage.The negative simple and partial correlation coefficient was significant at 0.05 level between oleic acid percentage and plant height.The negative simple and partial correlation coefficient was significant at 0.01 level between linoleic acid and oleic acid percentage.The positive simple and partial correlation coefficient was significant at 0.01 level between linoleic acid and palm acid percent.The positive partial correlation coefficient was significant at 0.05 level between oleic acid and palm acid percentage.
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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 | 0.001 |
| 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 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".