Characterization and analysis of North American Triticale Genetic Resources
Bibliographic record
Abstract
A collection of more than 3000 accessions of triticale (x Triticosecale Wittmack), called the North American Triticale Genetic Resources Collection (NATGRC), was assembled from 10 active and inactive breeding programs in the USA, Canada, and Mexico for the purposes of conservation, characterization, evaluation, and documentation. Since triticale has no wild ancestors and hybrid parentage is often unknown, preservation of unique gene combinations is essential for continued utilization. The origin groups that comprised the whole collection were evaluated in field plots for 2 yr at Davis, CA. Accessions were predominantly secondary hexaploid triticales having spring growth habit. The collection was classified for spike type and 38% has spikes typical of complete (Beagle type) and 30% were substituted (Armadillo type) triticale. The Shannon-Weaver diversity index (H'), computed for seven qualitative traits, was 1.275 for the whole collection. The most diverse group was from Manitoba (1.404) and the least diverse groups were from Oregon (0.822) and CIMMYT (0.867). Over-trait mean coefficients of variation for eight quantitative traits gave similar diversity ratings as H' for each of the origin groups (r = 0.74*), suggesting that simply scored traits may be useful for assessing overall diversity in large genetic resource collections. Principal components (PC) analysis of quantitative traits showed differentation, but considerable commonality, among the Canada, Mexico, and USA groups. The CA-Davis group included hybrid derivatives from CA-Jenkins x CIMMYT groups that clustered intermediate to those groups, suggesting a genetic basis for the phenotypic clustering. The PC analysis showed that the Beagle and Armadillo types differed in several quantitative traits, showing that this classification is a useful descriptor for hexaploid triticale. The NATGRC is conserved at USDA, Aberdeen, ID, and CIMMYT, Mexico. Researchers are urged to use and contribute to this collection. The formation of a European-based collection emphasizing winter growth habit is recommended.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| 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".