Seed Yield Variation in Blue Grama and Little Bluestem Plant Collections in Southern Manitoba, Canada
Bibliographic record
Abstract
Inadequate seed supplies of adapted blue grama [ Bouteloua gracilis (H.B.K.) Lag. ex Steud.] and little bluestem [ Schizachyrium scoparium (Michx.) Nash.] cultivars limits the use of these two species in the northern Great Plains of Western Canada. This study examined variation in seed yield traits of 11 blue grama and 14 little bluestem plant collections obtained from southern Manitoba, Canada to facilitate development of improved germplasm of these species. Measurements of seed yield traits including harvested air‐dried biomass, culm number, seedhead number, seed yield, caryopsis weight, and kernel index were taken from randomized complete block spaced‐plant nurseries. Tests were conducted for 2 yr at Winnipeg and 1 yr at Carman, MB, Canada. Collections within both species differed significantly for all traits. Significant collection × year (Winnipeg) and collection × location interactions were present for biomass and seed yield, and many of the seed yield‐component traits. While significant, the interactions resulted in few changes in rank among collections. Generally, the most northern collection in both species showed earlier anthesis, produced less biomass, and had lower seed yield than more southern collections. These findings indicate that indigenous plant collections of blue grama and little bluestem show high levels of genetic diversity for biomass, seed yield, and seed yield components, which provide opportunity for development of adapted cultivars with enhanced forage and seed production capability for the region.
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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".