Biofuel Research in Canada: Some Results from Eastern Ontario
Bibliographic record
Abstract
Depleting non renewable fuel resources and environmental concerns have renewed interest in sustainable environment-friendly biofuel resources. While one of the oldest sources of energy, crops occupy a large piece in the puzzle for future energy supplies. Several bioenergy projects have been launched at Kemptville since 2008 to study production potential and challenges with respect to varietal effects, nutrient requirements, mineral concentration in tissues, weed management and final product quality. The crops studied could be categorized into 3 different groups; biomass crops (perennial biomass grasses and woody species), biodiesel crops and ethanol crops. The objective of this paper it to report the effects of nitrogen (N) levels on biomass production from switchgrass ( Panicum virgatum L.), big bluestem ( Andropogon gerardii Vit.) indiangrass ( Sorghastrum nutans Nash.) and Miscanthus ( Miscanthus sinensis x M. sacchariflorus ). Our results on prairie perennial grasses indicate that it is possible to produce up to 10 Mg dry biomass/ha/yr with minimal nitrogen input (up to 50 kg/ha). At these levels, a sustainable and efficient production can be achieved. For Miscanthus, assuming a 100% establishment and winter survival rates, Miscanthus stands will be able to produce >40 Mg dry biomass/ha/yr at 120 kg N/ha. Our research helps producers make informed decisions with regard to species selection, seeding rates, fertilizer rates, expected yields and energy values of little-known bioenergy crops.
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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 | 0.001 | 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".