Biomass and nutrient accumulation in hybrid canola
Bibliographic record
Abstract
Measuring and characterizing aboveground biomass and nutrient accumulation may help us understand the fertility requirements of hybrid canola and lead to better fertilization programs for this crop. The original objective was to measure Nitrogen use by hybrid canola; appropriate timing of N application, if a window of opportunity does exist in season, will reduce N rate and NO3-N remaining at the end of the season. This was extended to all nutrients. A study was initiated in 2003 that included experiments out at four sites (two in Manitoba and two in Alberta) using one cultivar (45H21). The basic design was a control, two N rates, 54 and 90 lb N/acre (60 and 100 kg N ha-1), and 54 lb N/acre plus topdressing of 36 lb N/acre (40 kg N ha-1) at 3, 4, 5, 6 and 7 weeks after seeding. We carried out weekly sampling of canola and determined biomass, and N, P, K, S, Ca, Mg, B, Cu, Fe, Mn and Zn concentration. Peak of N, P and S uptake, as an example, was at the 6-leaf growth stage of canola. Only the N data are presented here. We used topdressing of N at 3, 4, 5, 6, and 7 weeks after seeding as an alternative practice. Its success was directly related to timing of precipitation.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".