Seed yield improvement in navy bean: Registration of ‘ND Polar’
Bibliographic record
Abstract
Abstract ‘ND Polar’ (Reg. no. CV‐349, PI 700767) is a new navy bean ( Phaseolus vulgaris L.) cultivar developed by the Dry Edible Bean Breeding Program at North Dakota State University and released by the North Dakota Agricultural Experiment Station. ND Polar was developed using a modified pedigree method (F 1 –F 5 ), followed by pure line selection based on agronomic performance, disease resistance, and seed quality characteristics. With ∼16% of the total dry bean production in the United States, navy bean is the third most important market class after pinto and black. Accounting for 35% of the total production, North Dakota is the largest producer of dry bean in the United States. Between 2015 and 2021, ND Polar was tested across 23 environments in North Dakota, where seed yield was significantly higher than ‘HMS Medalist’, ‘Blizzard’, and ‘Ensign’ and similar to ‘T9905’. ND Polar is resistant to Bean common mosaic virus and has intermediate resistance to common bacterial blight. ND Polar has desirable upright architecture to facilitate direct harvest. Under North Dakota environments, ND Polar shows an average plant height of 52 cm, has a 100‐seed weight of 18.3 g, and matures in 102 days. Canning quality was rated as acceptable. Similar to the commercial checks, ND Polar is susceptible to local races/strains of the bean rust pathogen, anthracnose, and white mold. Other traits of agronomic and economic importance are within acceptable ranges.
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 | 0.001 | 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 | 0.001 | 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) | 0.002 | 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".