Waskada hard red spring wheat
Bibliographic record
Abstract
Waskada is a hard red spring wheat that meets the end-use quality specifications of the Canada Western Red Spring wheat class. Waskada was found to be adapted to the wheat growing regions of the Canadian prairies based on data from the Central Bread Wheat Cooperative Registration Test in 2004, 2005 and 2006. In comparison with the check cultivars (Katepwa, McKenzie, CDC Teal, AC Barrie, and Superb), the grain yield of Waskada was similar to that of the best check in Manitoba and in Saskatchewan. Waskada matures 1 d later than AC Barrie and 1 d earlier than Superb. Waskada had similar height and lodging characteristics as Katepwa and McKenzie. The test weight of Waskada was 1.3 kg hL-1 higher than McKenzie, the best check. Waskada demonstrated moderate resistance to leaf rust but very good resistance to stem rust. Resistance to common bunt and loose smut was good, being similar to the more resistant checks Superb and Katepwa, respectively. Resistance to Fusarium head blight was better than the best check in four determinations made over the 3 yr of registration testing. Waskada appears to deter egg laying by the orange blossom wheat midge. Waskada has good preharvest sprouting resistance with similar or lower sprouting scores than the best check in 4 yr of testing, and it also maintained its falling numbers after natural or artificial weathering of spikes. End-use quality tests identified that Waskada had significantly higher amylograph viscosity than all checks except Superb. Waskada had a significantly lower loaf volume than CDC Teal and AC Barrie and was within the range of the checks for other quality traits. Key words: Triticum aestivum L., cultivar description, red spring wheat, test weight, preharvest sprouting, Fusarium head blight, wheat midge oviposition deterrence
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".