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 F 1 seeds from the five crosses all had normal phytate concentration, indicating recessive inheritance. The F 2 segregation ratios for the five crosses fit a phenotypic ratio of 3 normal:1 low phytate. The F 2 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 F 2:4 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 F 2 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 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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".