A comparative study assessing variety and management effects on C4 perennial grasses in a northern climate
Bibliographic record
Abstract
In the province of Ontario, Canada, markets are emerging for biomass for a range of end-uses including combustion, gasification and bio-products. Given concerns over the technical feasibility and sustainability of crop residue removal, dedicated C4 perennial grasses were identified as potential candidates to meet this emerging demand. In 2008, a multi-site trial was initiated across the province to comparatively evaluate C4 perennial grasses, including miscanthus (Miscanthus spp.), switchgrass (Panicum virgatum) and big bluestem (Andropogon gerardii). Four varieties of miscanthus (M. sinensis × M. sacchariflorus - Nagara, Amuri, M1 Select and Polish) were compared to two upland varieties of switchgrass (Cave-in-Rock and Shelter), two varieties of big bluestem (Prairieview and Southlow), and one variety of prairie cordgrass (Red River). Treatments were set up in a factorial experiment with four nitrogen rates (0, 40, 80, 160 kg N ha-1) and two harvest dates (late fall and early spring). A treatment representing the prominent land use pattern in the region was also included to assess land use change effects and relative biomass yield. Data is given for measurements taken to assess treatment effects on establishment success, winter survival, yield and moisture content. Variation in winter tolerance was observed, but it can be concluded that varieties for each of the evaluated species exist that are adapted and suitable to be grown under Ontario conditions. For many of the measured parameters, including yield, significant interactions between year, location, species, variety, and agronomic management were observed.
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 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 | 0.000 |
| 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) | 0.000 | 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".