Inheritance of the Low‐Phytate Trait in Pea
Bibliographic record
Abstract
ABSTRACT Field pea (Pisum sativum L.) is the most widely grown pulse crop in Canada and has total seed P concentration greater than 3 mg g−1. However, about 60 to 80% of the total P is stored as phytate, an organic molecule that binds with some mineral cations and is excreted due to the lack of phytase enzymes in humans and non‐ruminant animals. This causes nutrient deficiency as well as environmental pollution. The objective of this research was to determine the genetic control of the low‐phytate trait in two recently developed pea lines: 1‐150‐81 and 1‐2347‐144. Both lines and two normal‐phytate cultivars were used in crosses to develop five populations, including one reciprocal. The F1 seeds from the five crosses all had normal phytate concentration, indicating recessive inheritance. The F2 segregation ratios for the five crosses fit a phenotypic ratio of 3 normal:1 low phytate. The F2 individuals from 12 backcross populations fit a ratio of 3:1 with the exception of one population (1‐150‐81/CDC Meadow//CDC Meadow). The segregation of 1057 F2:4 lines from the six single cross‐derived populations were tested and five of six populations fit a ratio of 1:2:1 homogeneous normal phytate:segregating:homogeneous low phytate. Taken together, these data support a single gene model with the low‐phytate phenotype being recessive. The two low‐phytate lines were intercrossed and the F2 seeds all displayed the low‐phytate phenotype indicating that the mutated genes were allelic.
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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 | 0.000 | 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 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".