Phenotypic diversity in antioxidant phytochemical composition among fruits from several genotypes of red raspberry (Rubus idaeus L.)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The Pacific Northwest in North America, Russia, and Eastern Europe are three major regions of commercial raspberry production worldwide. In British Columbia, Canada, most raspberries are produced for machine harvesting and processing, while some are selected for the fresh market. Due to increasing public awareness of the benefits of consuming antioxidants for improving human health, breeding of functional foods based on phytochemical composition pyramided with other economically important traits in raspberry is desirable. In this study, genotypes of raspberry destined for the fresh market or processing were each investigated for ascorbic acid and anthocyanin compositions. Variations in these compositional traits were assessed along three consecutive years as well as among three sites in the Fraser Valley of British Columbia. There was a wide range of ascorbic acid contents among fruits from different genotypes with a trend among sample years that appeared to be dependent on seasonal temperatures. For two cultivars, eight different anthocyanins were identified, where the rest of the cultivars contained from four to six. Growing conditions influenced anthocyanin levels, while the profiles stayed consistent. Results from this study can aid in selections by geneticists for crosses to improve antioxidant traits through breeding of new raspberry genotypes.
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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 | 0.002 | 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 | 0.001 |
| 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 it