Spring Wheat and Durum Yield and Disease Responses to Copper Fertilization of Mineral Soils
Bibliographic record
Abstract
Copper deficiency has been linked to the incidence of a number of wheat diseases. Canadian research on mineral soils has suggested that low Cu availability, as indicated in a DTPA extraction soil test, combined with low soil organic C and coarse textures may also result in Cu deficiency of cereals. The objective of this study was to determine the yield responses of spring wheat ( Triticum aestivum L.) and durum [ T. turgidum subsp. durum (Desf.) Husn.] to Cu fertilization, and to determine whether wheat leaf rust ( Puccinia triticina Roberge ex Desmaz f. sp. tritica), tan spot [ Pyrenophora tritica‐repentis (Died.) Dreschler], and Fusarium head blight ( Fusarium graminearum Schwabe) incidence and severity would be reduced with these treatments. Experiments were established from 1998–2000 on 17 spring wheat sites and three durum wheat sites throughout North Dakota. Disease ratings were recorded at 10 sites.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".