Mineral nutrients in low phytic acid 1-1 corn grains
Bibliographic record
Abstract
Mature grains of wild-type (WT) and low phytic acid 1-1 (lpa 1-1) mutant from corn (Zea mays L.) were studied for total phosphorus (total P), phytic acid-phosphorus (PA-P), and mineral cations. Whole grain PA-P in lpa 1-1 was reduced 61.6% compared to WT whereas whole grain total P remained constant. Scutellum and root-shoot axis PA-P was 91.6% and 3.6% of WT whole-grain amounts respectively, compared to 89.3% and 4.0% in lpa 1-1. Relative partitioning of PA-P between the scutellum and root-shoot axis was not altered in lpa 1-1 mutant embryos as compared to WT. In lpa 1-1 the total P was slightly decreased in the scutella and increased in both root-shoot axes and rest-of-grain fractions. Whole grain Mg, Fe, and Mn amounts were higher in lpa 1-1 grains than in WT grains; K and Zn were similar, and Ca was lower. The lpa 1-1 whole grains and embryos contained 1/3 higher Fe than WT. For both grain types all measured metallic elements, except Ca, were more concentrated in embryos than the rest-of-grain fractions. Studies showed that WT grains contained larger globoids than lpa 1-1 grains in both scutellum and aleurone layer cells. This globoid size reduction reflected the PA-P decrease. Most lpa 1-1 aleurone globoids were non-spherical and lpa 1-1 scutellum globoids were clusters of spheres while both scutellum and aleurone globoids of WT were discrete spheres. The lpa 1-1 mutation had an impact on the globoid formation. X-ray analyses of scutellum and aleurone layer globoids from both grain types revealed major amounts of P, K, and Mg and traces of Ca, Fe, and Zn. Analysis demonstrated lower P, K and Mg and higher Ca, Fe and Zn in aleurone globoids than scutellum globoids. Both grain types contained almost no mineral nutrient stores in the starchy endosperm, whereas the scutellum was the major site of PA-P and mineral nutrient deposition.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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 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".