Kernel fatty acid and triacylglycerol composition for three almond cultivars during maturation
Why this work is in the frame
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Bibliographic record
Abstract
Abstract The kernel oil content, kernel FA and TAG composition, kernel moisture content, and kernel weight as well as fruit weight of three almond cultivars (Achaak, Mazetto, and Perlees) were monitored during the maturation of kernels. Lipid fractions of all almond samples were extracted using a mixture of chloroform and methanol. FAMF and TAG contained in these fractions were analyzed by GC and HPLC, respectively. The ratio of kernel to fruit weight appears to be a good indicator of almond kernel development. The total lipid content of developing almond kernels exhibited a sigmoidal pattern with time, similar to seeds and kernels of other higher plants; the cultivar Achaak showed a higher rate of lipid accumulation. The proportion of eleic acid (0) dominated at the later stage of maturation for all three almond cultivars. Although there was no significant difference in the FA composition for the three cultivars studied, marked differences were observed in their TAG profiles. Ten TAG species identified were LLL, LLO, LnOO, LOO, LOP, PLP, OOO, POO, POP, and SOO, where L represents linoleic acid; Ln, linolenic acid; P, palmitic acid; and S, stearic acid. The difference in the TAG profile can be useful for distinguishing various cultivars. The oil of Mazetto cultivar kernes exhibited a TAG composition comparable to that of olive oil.
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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