Development and Utilization of High Carotenoid Maize Germplasm: Proof of Concept
Bibliographic record
Abstract
ABSTRACT Lutein and zeaxanthin are commonly referred to as the macular carotenoids, as they are localized to ocular tissues and their loss is associated with age‐related macular degeneration. High carotenoid eggs have been suggested as a good dietary source of macular carotenoids, particularly lutein. In this paper we demonstrate two key proof of concept steps: transferring the high carotenoid phenotype to elite inbred backgrounds and carotenoid enrichment of eggs through feeding high carotenoid maize ( Zea mays L.) grain to laying hens ( Gallus domesticus ). Using two inbred backgrounds and three high carotenoid donor lines, BC 1 S 2 lines were developed with selections made based solely on visual assessment of kernel color. The 20‐wk laying hen feeding trial consisted of four complete diets that varied for the maize component (i.e., a high‐zeaxanthin maize line, a high‐lutein maize line, and a conventional yellow maize line with and without a commercial lutein [Oro‐glo] supplement) with eggs samples collected every 4 wk. High‐carotenoid maize diet treatments yielded carotenoid concentrations in egg yolks that were approximately fourfold higher than those achieved with the conventional maize feed control and were found to be equally available to the laying hen as a lutein feed additive used as a positive control. While phenotyping by high pressure liquid chromatography (HPLC) cannot be completely eliminated, visual selection increases the proportion of high‐carotenoid phenotypes and it appears that transferring the high carotenoid phenotype into elite inbred lines is relatively straightforward.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".