Comparing biomass yields of various willow cultivars in short-rotation coppice over six growing seasons across a broad climatic gradient in Eastern Canada
Bibliographic record
Abstract
The current context of ecological transition and the fight against climate change have revived interest in short-rotation coppice (SRC) of woody crops for bioenergy or bioproduct purposes. To determine the growth and yield potential of different willow cultivars, plantations were established in five regions of Quebec (Canada) across a wide climatic gradient. The present study compares results obtained after six years of cultivation at two coppicing frequencies (two and three years). Although annual yields approaching 20 tons ha−1 have been recorded at several of the study sites, little difference in the productivity of the tested cultivars was found, except for Salix viminalis “5027”, which was generally less productive. Overall productivity was weakest at La Morandière, the northernmost site. Neither frequency of coppicing lead to a difference in yields. At La Pocatière, one of the coldest regions in this study, yields of cultivars were comparable to those recorded at the southernmost sites. Moreover, the highest cumulative yield after six years was recorded at that site with the cultivar “SV1”. The fact that yields at most sites remain high after several years is indicative of the production potential of willow crops in SRC for Eastern Canada.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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 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".