Recessive male floret color for tracking gene flow in cultivated northern wild rice ( <i>Zizania palustris</i> L.)
Bibliographic record
Abstract
Abstract Northern wild rice (NWR; Zizania palustris L.) is a wind‐pollinated, annual, aquatic grass that grows naturally in the Great Lakes region of the United States and Canada and is also cultivated in flooded paddies, predominantly in California and Minnesota. A better understanding of pollen‐mediated gene flow is needed within the species for both conservation and breeding efforts as cultivation occurs within the species’ natural range and spatially‐isolated, paddy structures are limited within breeding programs. Widely‐cited pollen travel research in NWR demonstrated that pollen could travel at least 3200 m. However, a population segregating for male sterility was used as the pollen recipient in the study and was determined to not be adequate for NWR pollen travel studies. Here, we present the characterization of a recessive white male floret (WMF) population in contrast to the dominant, purple male floret (PMF) color of cultivated NWR along with estimates of pollen‐mediated gene flow in a cultivated paddy setting. Studies conducted in 2018 and 2019 revealed that the primary amount of pollen‐mediated gene flow occurred within the first 7 m from the PMF donor source with no gene flow detected past 63 m. These results suggest that the likelihood of pollen‐mediated gene flow between cultivated NWR and natural stands remains low. We also identified a strong linkage between male floret, collar, and culm color. This study demonstrates that the WMF trait is an excellent candidate for use in pollen‐mediated gene flow studies in NWR.
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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 | 0.000 |
| 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".