Agronomic practices for red lentil in Alberta
Bibliographic record
Abstract
Lentil was seldom grown in Alberta prior to 2015 due to the lack of demonstrated ability to achieve adequate yields, even though it was potentially well adapted to most agricultural regions within the province. We conducted field trials at five locations for 4 yr to determine potential productivity and optimum seeding rate, N management, and imidazolinone herbicide formulation for two imidazolinone-resistant red lentil cultivars across a broad geographic region in Alberta. Over the 4 yr of this study (2012–2015), the average yield potential of lentil ranged from 3000 to 3700 kg ha−1 at five locations. Maximum yield was consistently obtained when plant density exceeded 90 plants m−2. Lentil yield was not influenced by rhizobia inoculation, N fertilizer rate, or their interaction. Application of imidazolinone-based herbicide did not impact yield or nodulation of the lentil cultivars used in this study. High productivity of two imidazolinone-resistant red lentil cultivars was attainable over a broad geographic region in Alberta.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| 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".