Industrial Hemp Response to Nitrogen, Phosphorus, and Potassium Fertilization
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
Industrial hemp ( Cannabis sativa L.) production has increased in Canada in recent years, and interest for this multipurpose crop remains high. The lack of agronomic guidelines for Eastern Canada represents, however, a limiting factor for local hemp production. This study assessed biomass and seed yields and composition of two hemp cultivars (CRS‐1 and Anka), following various N, P, and K fertilization treatments (0, 50, 100, 150, and 200 kg N or K ha −1 ; 0, 25, 50, 75, and 100 kg P ha −1 ). The experiment was conducted in multiple environments in the province of Québec. Positive linear and quadratic responses of biomass yield, seed yield, and seed crude protein concentration to N fertilization were observed in all environments; the magnitude of the response depended, however, on the environment and cultivar. Across environments and cultivars, biomass and seed yields increased from 1674 to 4209 kg ha −1 and from 519 to 1340 kg ha −1 , respectively, with the application of 200 kg N ha −1 when compared with the unfertilized control. Nitrogen fertilization affected biomass cellulose and hemicellulose concentrations, but the overall response remained minimal. Phosphorus and potassium fertilizations had very limited effect on biomass and seed yields and composition in all environments. In conclusion, while industrial hemp responded to N fertilization up to 200 kg N ha −1 , response to P and K fertilization remained limited.
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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 | 0.001 | 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