Underseeded clover as a nitrogen source for spring wheat on a Gleysol
Bibliographic record
Abstract
Although there is a potential to substantially reduce N fertiliser inputs by cropping spring cereals with an interseeded legume, the agronomic value and the nitrate catch-crop effect associated with this practice are not documented under the conditions of eastern Canada. This 3-yr study estimated N credits and non-N nutritional effects for interseeded clover (Trifolium pratense L. 'Arlington') in spring wheat production (Triticum aestivum L. 'Algot') and assessed fall and spring nitrate (NO3−) in soil. The soil is a St. Urbain clay (Orthic Gleysol) located in the St. Lawrence lowlands. Ammonium nitrate (NH4NO3) was applied at 0, 40, 80, 120 and 160 kg N ha-1 with or without red clover as a companion crop. Clover was incorporated as a green manure crop in mid-November. Clover significantly (P = 0.05) influenced wheat yield response to N fertilisation for 2 of the 3 yr. Clover did not reduce wheat grain yield through competition between the two plant species. Higher wheat yields with clover were attributed to N supplied by clover through mineralisation of residues incorporated in the soil the previous fall. Nitrogen fertiliser replacement value of clover was approximately 80 kg N ha-1 for 1994 and 1995. Clover occasionally increased NO3−-N measured in the soil profile in late fall and in spring. Interseeded red clover may provide most of the N needs of a companion spring wheat crop in fine-textured gleysolic soils, but is an inefficient N catch-crop. Key words: N credits, non-N nutritional effect, N catch-crop
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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 | 0.000 | 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) | 0.001 | 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".