Development and Characterization of Low‐Phytate Pea
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
ABSTRACT The majority of the total phosphorus in seeds is stored in the form of phytate, a mixed‐cation salt of phytic acid. Phytate is not well digested by humans and monogastric animals. Phosphorus excretion is one of the major pollutants of surface waters in many locations in the world. Important micronutrients such as iron and zinc bound to phytate are also excreted, potentially leading to micronutrient deficiencies. Low‐phytate mutants have been developed in several crop species as one strategy to deal with the phytate problem. The objective of this research was the development of low‐phytate pea ( Pisum sativum L.) using chemical mutagenesis of cultivar CDC Bronco, and the agronomic characterization of two resulting lines. In these lines, phytate phosphorus concentration was reduced by approximately 60%, with a compensating increase in inorganic phosphorus. The low‐phytate lines were similar in agronomic performance to CDC Bronco, except for somewhat slower time to flowering and maturity, slightly lower seed weight, and slightly lower grain yield. Low‐phytate field pea should have potential to improve phosphorus and micronutrient bioavailability in human and animal diets.
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.
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