Seeding rate and row spacing effect on weed competition, yield and quality of hemp in the Parkland region of Saskatchewan
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Field experiments were conducted on a Black Chernozem silty loam soil at Melfort, Saskatchewan, Canada, from 2000 to 2002, to determine the effect of seeding rate and row spacing on weed competition, as well as on seed, shoot biomass production and seed q uality attributes of industrial hemp ( Cannabis sativa L. ‘Fasamo’ and ‘Finola’). Increasing seeding rate from 20 to 60 or 80 kg ha -1 decreased weed density in all years (average of 33%) and reduced weed size (34%) in 2000. It also increased hemp plant density, biomass and seed yield (average of 174, 23 and 34%, respectively). Seed weight and protein were not affected by seeding rates, but seed oil content increased 1% in one year, when seeding rate increased from 20 to 60 kg ha -1 . Row spacing (18 and 36 cm) had little or no definite effect on most of the parameters studied. Key words: Biomass, cultivar, hemp, protein content, oil content, organic farming, row spacing, seeding rate, weed competition
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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 | 0.002 | 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 it