Selection response for molecular markers associated with anthocyanin coloration and low-temperature growth traits in crested wheatgrasses
Bibliographic record
Abstract
Hycrest is an outcrossing tetraploid cultivar of crested wheatgrass developed from a hybrid between an induced tetraploid form of Fairway (Agropyron cristatum) and natural tetraploid Standard (A. desertorum). The CD-II cultivar was selected from cv. Hycrest on the basis of vigorous vegetative growth and green leaf coloration during early spring. This study examines the selection response of molecular markers associated with anthocyanin coloration (AC), growth habit (GH) and other traits in Hycrest, CD-II, and two second-generation polycross (PX2) populations derived from three purple-leaf selections and three green-leaf selections of Hycrest. AC was positively correlated with prostrate GH and inversely correlated with plant height and leaf width in the experimental PX2 populations. Of the 578 AFLP markers surveyed, 13 showed pleiotropic effects on GH and AC in the PX2 populations. In all cases, marker alleles associated with prostrate GH also enhanced AC. Four of these 13 markers also showed large selection responses in CD-II (i.e. 80th percentile or higher) relative to Hycrest, always favouring upright GH and low AC alleles.However, the upright GH in CD-II was not explainable solely by molecular marker alleles near the vernalization gene. Key words: Anthocyanin, crested wheatgrass, molecular marker, selection, vernalization
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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 | 0.000 | 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".