Registration of ‘Kelse’ Wheat
Bibliographic record
Abstract
Hard red spring (HRS) wheat (Triticum aestivum L.) grain must have high grain protein concentration (GPC) to maximize market value. The objective of this research was to develop a HRS wheat cultivar with high GPC and durable resistance to stripe rust (Puccinia striiformis Westend f. sp. tritici), a major foliar fungal disease problem of spring wheat. ‘Kelse’ (Reg. No. CV‐1035, PI 653842) HRS wheat was developed and released in July 2008 by the Agricultural Research Center of Washington State University. Kelse was tested under the experimental designations of WA007954, H0100092, and HR98036, which were assigned through progressive generations of advancement. Kelse is a semidwarf cultivar adapted to the intermediate‐to‐high rainfall (>380 mm average annual precipitation), nonirrigated wheat production regions of Washington State. Kelse was released based on its (i) resistance to the Hessian fly [Mayetiola destructor (Say)], (ii) high‐temperature, adult‐plant resistance (HTAP) to local races of stripe rust (infection type 0–3), (iii) high GPC, (iv) excellent bread‐baking quality, and (v) high grain yield potential in the target production region. Kelse is the first HRS wheat cultivar adapted to the Pacific Northwest region of the United States with HTAP resistance to stripe rust. Based on molecular marker analysis, Kelse has the Lr34/Yr18 and Lr37/Yr17/Sr38 gene clusters for rust resistance. Kelse also has exceptionally high GPC compared with HRS cultivars currently in production.
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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 0.008 |
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".