Assessement of the Acidity of Progenies From Crosses Between Double Self-fertilized DA 115 D AF AF × LM 2 T AF AF Oil Palm (Elaeis guineensis Jacq) Progenitors in Côte d’Ivoire
Bibliographic record
Abstract
Crude palm oil, extracted from the mesocarp of the fruit of the oil palm (Elaeis guineensis Jacq.), is the world’s most widely produced and consumed vegetable oil. However, the food quality of this oil is influenced by its acidification and the negative effects associated with this acidity. Recent work on progenies from the DA 115 D of the Deli population and LM 2 T of the La Mé population involved in seed production has shown variability in oil acidity within and between these progenies, suggesting the possibility of selection to improve palm oil quality in these progenies. To improve the quality of the oil produced in Côte d’Ivoire, progeny from crosses between double self-fertilized progenitors of DA 115 D and LM 2 T origins were evaluated. The acidity of these progenies was determined using the near infrared spectrometer (NIR). The results showed that 4 progenies were homogeneous with low acidities (acidity < 5%) and 9 progenies were heterogeneous with low and medium acidities (5% < acidity < 10%). In addition, only offspring from combinations involving LM 2509 D AF were homogeneous. As a result, the average acidity of each progeny was all below 5%.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".