1 TREE GROWTH AND CROP PRODUCTIVITY IN A HYBRID POPLAR- HARDWOOD-SOYBEAN INTERCROPPING SYSTEM IN SOUTHWESTERN
Bibliographic record
Abstract
In Quebec, new strategies for improving the profitability of hardwood plantations have received little attention. Since 2000, field experiments have been established in southwestern Quebec in order to investigate the impact of introducing hybrid poplars (HP) in alternate rows with hardwood tree species. In 2004, one experimental site was converted into an intercropping system by adding a soybean crop between tree rows. Soybean was intercropped with three HP clones (NM-3729, DN-3308, TD-3230) spaced 6 (parcel A) or 8 m (parcel B) between tree rows. The growth of HP within the intercropping system was compared to sole tree treatment (disking of the alleys between tree rows). A positive effect of intercropped soybean on HP height increment was observed in parcel A, but there was no significant difference in parcel B. In parcel A, total soybean grain dry weight was significantly different between orientations with respect to tree row (east or west) and between HP clones. Total grain dry weight near the row was lower in the TD-3230 plots of parcel A, where relative photosynthetic photon flux density (Qp) was also lower. A decrease in both relative Qp and soil moisture in the upper 10 cm layer of the soil contributed to an important reduction of total grain dry weight, aboveground biomass and height of soybean plants at 2-3 versus 4-5 m from the HP rows. These results will provide vital information regarding the value of intercropping systems for improving the profitability of hardwood and HP plantations.
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 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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".