Impact of production practices on fiber yield of oilseed flax under Canadian prairie conditions
Bibliographic record
Abstract
Flax (Linum usitatissimum L.) cultivars commonly grown in western Canada have been developed primarily for seed production. These cultivars tend to be shorter, have lower fibre content, and have lower above-ground biomass than cultivars developed specifically for fibre production. Linseed production is the dominant flax product in western Canada and fibre is a co-product of oilseed production. The objectives of these studies were to evaluate the effects of northern European fibre flax production practices under western Canadian soil and climatic conditions. A number of cultivars in narrow band and solid-seeded planting geometries to determine if they had similar responses. When flax was planted at recommended seeding rates for linseed production, seed and fibre yields were not affected by planting geometry. Increasing the seeding rate from 40 to 120 kg ha-1 did not affect seed yield regardless of location or seeding date. Even though fibre content was not affected by seeding rate, higher seeding rates increased stem numbers, decreased stem size, reduced the variability in stem size and increased fibre yield. Delaying planting until the end of May increased fibre yields by an average of 35% with no corresponding decrease in seed yield. Since the relative seed and fibre yield responses of a wide range of cultivars were similar with solid seed and narrow band planting geometries, plant breeders can effectively select for higher fibre producing lines using narrow band seed openers using row spacings up to 30 cm apart. Key words: Linseed, row spacing, seeding rate, cultivar, fibre, fibre
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| 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".