Phenotypic variation of side-oats grama grass [Bouteloua curtipendula (Michx.) Torr.] collections from the Canadian prairie
Bibliographic record
Abstract
Schellenberg, M. P., Biligetu, B., McLeod, G. J. and Wang, Z. 2012. Phenotypic variation of side-oats grama grass [Bouteloua curtipendula (Michx.) Torr.] collections from the Canadian prairie. Can. J. Plant Sci. 92: 1043-1048. Native prairie grasses are adapted to local climates and have the potential for development as forage grass cultivars for semiarid environments. Side-oats grama grass [Bouteloua curtipendula (Michx.) Torr.] is a drought-tolerant grass with desirable forage characteristics, and is distributed across the Canadian prairies and throughout the Great Plains. Understanding ecotypic variability of this species is a prerequisite for developing populations suitable for drier regions of western Canada. A randomized complete block field plot was established using nine seed collections from Manitoba and Saskatchewan in 2006 near Swift Current (lat. 50°25′N, long. 107°44′W), Canada. Seed yield, tiller number, plant height, foliage diameter, and days to flower of individual plants were measured for each collection in the summers of 2007 and 2010. The Sidney and Wolseley collections had taller plants with greater basal diameter. Plants from these two collections also had higher tiller number, and required fewer days to reach flowering stage. However, there was no clear ranking of these variables among other collections. Averaged flowering date was Aug. 15 for Alexander, Sidney, and Wolseley collections, Aug. 21 for Wellwood, Glenboro, and Pratt collections, and Aug. 26 for Minto and Coulter collections, respectively. Taller plants with greater tiller number for the Sidney and Wolseley collections showed a potential for further cultivar development.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".